Presentation to students and educators at Eastern Connecticut State University in 2008 on the challenges, and opportunities, facing people in manufacturing.
The document summarizes a demonstration of a digital thread for engineering a lunar rover prototype using Innoslate's systems engineering tools. It describes 4 tasks: research and design, building the prototype, testing it, and demonstrating the digital thread. Key activities included designing the rover, 3D printing components, assembling the prototype called SPECTER, simulating its mission in STK and MATLAB, and validating it meets requirements. The digital thread integrated models, documents, simulations, code, and tests to engineer a prototype lunar rover from concept to testing.
This webinar is going to cover what is a digital twin and how all stakeholders can benefit from their functionality. You will learn how model-based systems engineering enables digital engineering. Your host will discuss use cases, a realistic look at digital engineering and digital twins, and how you can use Innoslate to get started.
The Agenda
Here's what we're covering.
What is a Digital Twin
Benefits of Digital Twin
The Digital Engineering Path Enabled by MBSE
AR + MBSE Software
A More Realistic Digital Twin
Getting You Started with Digital Twins
Question Answer Session
This guide will help you get started with Innoslate, the full lifecycle systems engineering tool. It will take you through developing your requirements, creating model, simulating your models, and keeping traceability through the entire project.
This is a perfect webinar for professors and students of systems engineering seeking to improve their academic research and professional expertise.
SPEC Innovations is dedicated to advancing the systems engineering academic community. Our engineers designed Innoslate to improve academic research and help professors expand model-based systems engineering to a new generation of students. See what benefits you have using Innoslate for Aacademia with this webinar.
See the major new features and improvements in Innoslate 4.3. The latest version of Innoslate has two brand new diagrams Interface Control Diagram (ICD) and a Risk Burndown Chart. You asked and we delivered; a ReqIF Import and Export. We've also added that Cross Project Entities will be visual noticeable in all views with a new purple symbol indicator, dashed purple lines, or purple background color. Now search has been redesigned for a more flexible user experience. All entity’s attributes can now be searched as well as searching by entity id, relationship name, and attribute name. Dr. Dam will demonstrate best practices for using all the new diagrams, features, and even some of the improvements. Stay for the question and answer session to ask any or all your questions. We look forward to having you there!
Towards Scalable Validation of Low-Code System Models: Mapping EVL to VIATRA ...IncQuery Labs
Presented at the LowCode Workshop 2021 at MODELS 2021 by Benedek Horváth. Authors are Qurat ul ain Ali, Benedek Horváth, Dimitris Kolovos, Konstantinos Barmpis and Ákos Horváth.
Getting started with Innoslate - Systems EngineeringElizabeth Steiner
In this webinar, "Getting Started with Innoslate" Andrew Tesnow, systems engineer at SPEC Innovations and former marine, will show you how to:
Navigate through Innoslate
Manage and Analyze Requirements
Model scenarios and processes
Develop traceability throughout the system lifecycle
Simulate scenarios and processes
and more
Quality engineering in a world with AI and IoTSTePINForum
The document discusses how quality engineering is changing in an AI and IoT world. It notes that the new world of IT involves things like IoT connected devices, online marketing, continuous supply tracking, and just-in-time production. It also discusses how software is becoming more distributed through microservices and continuous delivery allows for thousands of teams to deploy updates 50 million times per year. Other topics covered include chaos engineering to test systems reliability, using machine learning to help with code analysis and failure prediction, and focusing on fast detection and response to failures rather than trying to prevent them.
The document summarizes a demonstration of a digital thread for engineering a lunar rover prototype using Innoslate's systems engineering tools. It describes 4 tasks: research and design, building the prototype, testing it, and demonstrating the digital thread. Key activities included designing the rover, 3D printing components, assembling the prototype called SPECTER, simulating its mission in STK and MATLAB, and validating it meets requirements. The digital thread integrated models, documents, simulations, code, and tests to engineer a prototype lunar rover from concept to testing.
This webinar is going to cover what is a digital twin and how all stakeholders can benefit from their functionality. You will learn how model-based systems engineering enables digital engineering. Your host will discuss use cases, a realistic look at digital engineering and digital twins, and how you can use Innoslate to get started.
The Agenda
Here's what we're covering.
What is a Digital Twin
Benefits of Digital Twin
The Digital Engineering Path Enabled by MBSE
AR + MBSE Software
A More Realistic Digital Twin
Getting You Started with Digital Twins
Question Answer Session
This guide will help you get started with Innoslate, the full lifecycle systems engineering tool. It will take you through developing your requirements, creating model, simulating your models, and keeping traceability through the entire project.
This is a perfect webinar for professors and students of systems engineering seeking to improve their academic research and professional expertise.
SPEC Innovations is dedicated to advancing the systems engineering academic community. Our engineers designed Innoslate to improve academic research and help professors expand model-based systems engineering to a new generation of students. See what benefits you have using Innoslate for Aacademia with this webinar.
See the major new features and improvements in Innoslate 4.3. The latest version of Innoslate has two brand new diagrams Interface Control Diagram (ICD) and a Risk Burndown Chart. You asked and we delivered; a ReqIF Import and Export. We've also added that Cross Project Entities will be visual noticeable in all views with a new purple symbol indicator, dashed purple lines, or purple background color. Now search has been redesigned for a more flexible user experience. All entity’s attributes can now be searched as well as searching by entity id, relationship name, and attribute name. Dr. Dam will demonstrate best practices for using all the new diagrams, features, and even some of the improvements. Stay for the question and answer session to ask any or all your questions. We look forward to having you there!
Towards Scalable Validation of Low-Code System Models: Mapping EVL to VIATRA ...IncQuery Labs
Presented at the LowCode Workshop 2021 at MODELS 2021 by Benedek Horváth. Authors are Qurat ul ain Ali, Benedek Horváth, Dimitris Kolovos, Konstantinos Barmpis and Ákos Horváth.
Getting started with Innoslate - Systems EngineeringElizabeth Steiner
In this webinar, "Getting Started with Innoslate" Andrew Tesnow, systems engineer at SPEC Innovations and former marine, will show you how to:
Navigate through Innoslate
Manage and Analyze Requirements
Model scenarios and processes
Develop traceability throughout the system lifecycle
Simulate scenarios and processes
and more
Quality engineering in a world with AI and IoTSTePINForum
The document discusses how quality engineering is changing in an AI and IoT world. It notes that the new world of IT involves things like IoT connected devices, online marketing, continuous supply tracking, and just-in-time production. It also discusses how software is becoming more distributed through microservices and continuous delivery allows for thousands of teams to deploy updates 50 million times per year. Other topics covered include chaos engineering to test systems reliability, using machine learning to help with code analysis and failure prediction, and focusing on fast detection and response to failures rather than trying to prevent them.
On 18th September, our CEO, István Ráth, joined by Enrique Krajmalnik from Zuken, presented at the 2021 INCOSE Western States Regional Conference. Their talk concentrated on the current challenges of systems engineering, promoting a much-needed paradigm shift and a novel, holistic approach.
The conceptual framework underpinning this novel concept is the combination of light-weight bridge tools, such as the E3.GENESYS Connector from Zuken, and digital thread analytics powered by our flagship product, the IncQuery Suite. This framework provides discipline-specific views of multi-domain engineering data, and powerful structural and numerical analysis to ensure completeness, correctness and consistency throughout the entire design process.
The Genesis of Holistic Systems Engineering: Completeness and Consistency Man...IncQuery Labs
The document discusses the challenges of disconnected engineering silos and proposes a framework to address it. It presents the 3C challenge of completeness, correctness, and consistency when transferring systems engineering data to detailed design tools. The framework includes automated bridge tools to create a digital thread between tools and digital thread analytics to analyze the connections and identify issues. It demonstrates connecting a systems engineering tool to an electrical design tool to map components and ensure signal allocations are consistent.
Overcoming Regulatory & Compliance Hurdles with Hybrid Cloud EKS and Weave Gi...Weaveworks
In this webinar we will be discussing how Dream 11, the world’s largest fantasy sports platform, and its large-scale distributed cloud can meet regulatory requirements while still taking advantage of the benefits that cloud native technologies like EKS and Weave GitOps present.
Topics we are covering include:
How you can utilize EKSD (AWS’ open source EKS distribution) and EKS (managed Kubernetes in the cloud) to establish common operational workflows that minimize operational overhead
How to lower operational costs with the use of ephemeral cloud environments for development, testing and even production
How to maintain compliance by enabling clear operational controls and auditability
A Model-Based Systems Engineering Approach to Portfolio ManagementElizabeth Steiner
Learn about the importance of The Lifecycle Modeling Language (LML) to portfolio management. LML provides an open standard ontology and diagram framework that enables more effective communications to all stakeholders in the acquisition process.
Innoslate® implements and extends LML making Innoslate easier to learn and adopt than any other tool available today in the program management and systems engineering domains. You will also learn how Innoslate is built on a modular open systems approach (MOSA) architecture and can be easily integrated with other modern tools. This webinar will also include a sneak preview of Innoslate 4.5's program management features.
- Detail-oriented IT professional with 14 years of experience in electronics and instrumentation engineering. Skilled in analyzing problems and developing innovative solutions using technical knowledge.
- Extensive experience with Java/J2EE, Spring, microservices architecture, RESTful APIs, and platforms like Weblogic and Tomcat. Certified Scrum Master.
- Hands-on experience developing set-top boxes, UMTS network equipment, and power monitoring systems. Led multiple projects and teams.
- Published 3 papers in IEEE and holds 1 patent. Educated in Electronics and Instrumentation Engineering.
VIATRA 3: A Reactive Model Transformation PlatformÁbel Hegedüs
New VIATRA framework built on EMF powered by EMF-IncQuery (https://www.eclipse.org/incquery/) has been presented at the ICMT 2015 conference (http://www.di.univaq.it/diruscio/sites/ICMT2015/).
Yannis Zarkadas. Enterprise data science workflows on kubeflowMarynaHoldaieva
This document discusses using GitOps and multi-tenancy to provide an enterprise data science experience on Kubeflow. It describes how to deploy and manage Kubeflow using GitOps to simplify operations and accelerate time to production. GitOps allows storing all configuration in Git for versioning, rollbacks, and collaboration. Kustomize is used to manage configurations and integrate changes from upstream Kubeflow repositories while allowing customizations. This provides reproducibility, isolation of tenants, and easy upgrades in a production-ready Kubeflow cluster.
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2S7lDiS.
Sasha Rosenbaum shows how a CI/CD pipeline for Machine Learning can greatly improve both productivity and reliability. Filmed at qconsf.com.
Sasha Rosenbaum is a Program Manager on the Azure DevOps engineering team, focused on improving the alignment of the product with open source software. She is a co-organizer of the DevOps Days Chicago and the DeliveryConf conferences, and recently published a book on Serverless computing in Azure with .NET.
Using Innoslate for Model-Based Systems EngineeringElizabeth Steiner
Dr. Steve Dam will walk you through the process of using Innoslate’s modeling and simulation capabilities while applying a MBSE methodology.
At its core, Innoslate is a full model-based systems engineering tool. Within Innoslate, system models are formalized and capable of simulation to derive cost, schedule, and performance data.
Your webinar will cover:
Functional modeling
Functional modeling is at the heart of how Innoslate derives new requirements and ensures logical accuracy.
Physical modeling
We can describe synthesizing the physical model in Innoslate with eight different diagrams, including the Asset Diagram, Layer Diagram, Block Definition Diagram, and Internal Block Diagram.
Executing a model
Innoslate includes a ‘Discrete Event Simulator’ to verify functional diagram’s logic, calculate cost, compute time, and quantify performance.
Relating Requirements to Diagrams
Requirements traceability ensures that the lifecycle and origin of a requirement is fully tracked. Innoslate includes relationship matrices to represent traceability relationships between entities in tabular view.
Requirements Generation
After modeling the system, often an engineer will derive textual requirements from the models by hand. Innoslate includes an automatic facility that generates requirements documents in a standard format (as outlined in “The Engineering Design of Systems: Models and Methods“).
Keynote: Trends in Modern Application Development - Gilly Dekel, IBMCodemotion Tel Aviv
Modern application development trends include:
- Microservices and containerization to break applications into independently deployable modules.
- Leveraging AI and cognitive services through APIs to add capabilities like language processing, vision, and data insights.
- Building multi-channel applications that provide consistent experiences across different devices and channels.
- Adopting serverless architectures where code only runs when triggered to reduce operational overhead.
How to Leverage Machine Learning (R, Hadoop, Spark, H2O) for Real Time Proces...Codemotion Tel Aviv
The document discusses applying machine learning models to real-time data streams. It covers building analytic models from historical data using tools like R, TensorFlow and Hadoop. It then discusses applying these pre-built models to real-time streaming data using frameworks like Apache Spark, TIBCO StreamBase and H2O to power applications like predictive maintenance and manufacturing analytics. The key takeaway is that machine learning on historical data finds insights, while stream processing applies these models in real-time to drive closed-loop analytics and enable real-time action.
Advanced Integrated Model-Driven Development Tool for USN Applications in Per...JM code group
Advanced Integrated Model-Driven Development Tool for USN Applications in Pervasive Computing Environment
The 2009 International Conference on Future Generation Communication and Networking
Woojin Lee, Jang-Mook Kang,
Yoon-Seok Heo, Bong-Hwa Hong
Presented by kang, jang mook(sejong Univ.)-mooknc@gmail.com
redsea@sejong.ac.kr
December 10th, 2009
16:30-16:45
Technical Session 15
CAN/FGCN-KIIT #2 401A
Cloud Native Architectures with an Open Source, Event Driven, Serverless Plat...Daniel Krook
IBM keynote at CloudNativeCon / KubeCon in Seattle, Washington on November 8, 2016.
https://cnkc16.sched.org/event/8K4c
New cloud programming models enabled by serverless architectures are emerging, allowing developers to focus more sharply on creating their applications and less on managing their infrastructure. The OpenWhisk project started by IBM provides an open source platform to enable these cloud native, event driven applications.
Daniel Krook, Senior Software Engineer, IBM
The document presents a software bug prediction model. It aims to build a resilient bug prediction model through simulation on open source issue trackers like Jira and Bugzilla. It also aims to conduct a comparative study of the new model against existing competitive models. The model will make use of data from software repositories, bug reports, and code artifacts to predict bugs. Open source projects like Eclipse, Mozilla and Android will be used for simulations. Data mining tools like WEKA and RAPID MINER will be utilized extensively. The model also aims to facilitate code refactoring to improve software maintenance activities like modification and enhancement. Literature in the areas of bug prediction and code refactoring will be surveyed. The research will be conducted in
IncQuery Labs provides cloud-based modeling solutions to enable tool integration in model-based systems engineering (MBSE). Their IncQuery tool suite includes a desktop query authoring tool and backend server that allows running complex queries on large models. IncQuery was used to develop an interoperability platform for Airbus that automates workflows involving transformations between modeling tools and generates reports through a web interface.
Rohit Vijay Bapat's resume summarizes his education and professional experience in software development. He has a MS in Mechanical Engineering from Missouri University of Science and Technology and a BE in Mechanical Engineering from University of Pune. His experience includes roles at Tata Consultancy Services, Mindware Engineering, SigmaTEK Systems, and Vaal Triangle developing CAD/CAM and shopfloor software. He has strong skills in C++, C#, Delphi, and CAD tools like AutoCAD, ProE, and NX.
How to Measure DevRel's Perfomances: From Community to Business - Channy Yun ...Channy Yun
Developer relations are an impactable to generate business values in many software companies who hope to gain mindshare of developers in various approaches from contributing open sources to gaining meaningful sales leads. In this session, you’ll learn about how to measure the perfomrmance of developer relations for building community, increasing impacts and generating leads for sales.
https://tokyo-2018.devrel.net/speakers/yun/
B Kindilien-The Digital Age of ManufacturingjgIpotiwon
Making modeling and simulation make sense to manufacturers: You’ve seen the video games young people play: Computer-generated environments with rich three dimensional (3D) visuals and hardware with force feedback, touch-sensitive game controllers, and head-mounted displays that give the gamer a nearly (virtual) exact contextual representation of the world (reality) we live in. Think these tools are child’s play? The National Aerospace Leadership Initiative’s (NALI) modeling and simulation team wants you to think again.
On 18th September, our CEO, István Ráth, joined by Enrique Krajmalnik from Zuken, presented at the 2021 INCOSE Western States Regional Conference. Their talk concentrated on the current challenges of systems engineering, promoting a much-needed paradigm shift and a novel, holistic approach.
The conceptual framework underpinning this novel concept is the combination of light-weight bridge tools, such as the E3.GENESYS Connector from Zuken, and digital thread analytics powered by our flagship product, the IncQuery Suite. This framework provides discipline-specific views of multi-domain engineering data, and powerful structural and numerical analysis to ensure completeness, correctness and consistency throughout the entire design process.
The Genesis of Holistic Systems Engineering: Completeness and Consistency Man...IncQuery Labs
The document discusses the challenges of disconnected engineering silos and proposes a framework to address it. It presents the 3C challenge of completeness, correctness, and consistency when transferring systems engineering data to detailed design tools. The framework includes automated bridge tools to create a digital thread between tools and digital thread analytics to analyze the connections and identify issues. It demonstrates connecting a systems engineering tool to an electrical design tool to map components and ensure signal allocations are consistent.
Overcoming Regulatory & Compliance Hurdles with Hybrid Cloud EKS and Weave Gi...Weaveworks
In this webinar we will be discussing how Dream 11, the world’s largest fantasy sports platform, and its large-scale distributed cloud can meet regulatory requirements while still taking advantage of the benefits that cloud native technologies like EKS and Weave GitOps present.
Topics we are covering include:
How you can utilize EKSD (AWS’ open source EKS distribution) and EKS (managed Kubernetes in the cloud) to establish common operational workflows that minimize operational overhead
How to lower operational costs with the use of ephemeral cloud environments for development, testing and even production
How to maintain compliance by enabling clear operational controls and auditability
A Model-Based Systems Engineering Approach to Portfolio ManagementElizabeth Steiner
Learn about the importance of The Lifecycle Modeling Language (LML) to portfolio management. LML provides an open standard ontology and diagram framework that enables more effective communications to all stakeholders in the acquisition process.
Innoslate® implements and extends LML making Innoslate easier to learn and adopt than any other tool available today in the program management and systems engineering domains. You will also learn how Innoslate is built on a modular open systems approach (MOSA) architecture and can be easily integrated with other modern tools. This webinar will also include a sneak preview of Innoslate 4.5's program management features.
- Detail-oriented IT professional with 14 years of experience in electronics and instrumentation engineering. Skilled in analyzing problems and developing innovative solutions using technical knowledge.
- Extensive experience with Java/J2EE, Spring, microservices architecture, RESTful APIs, and platforms like Weblogic and Tomcat. Certified Scrum Master.
- Hands-on experience developing set-top boxes, UMTS network equipment, and power monitoring systems. Led multiple projects and teams.
- Published 3 papers in IEEE and holds 1 patent. Educated in Electronics and Instrumentation Engineering.
VIATRA 3: A Reactive Model Transformation PlatformÁbel Hegedüs
New VIATRA framework built on EMF powered by EMF-IncQuery (https://www.eclipse.org/incquery/) has been presented at the ICMT 2015 conference (http://www.di.univaq.it/diruscio/sites/ICMT2015/).
Yannis Zarkadas. Enterprise data science workflows on kubeflowMarynaHoldaieva
This document discusses using GitOps and multi-tenancy to provide an enterprise data science experience on Kubeflow. It describes how to deploy and manage Kubeflow using GitOps to simplify operations and accelerate time to production. GitOps allows storing all configuration in Git for versioning, rollbacks, and collaboration. Kustomize is used to manage configurations and integrate changes from upstream Kubeflow repositories while allowing customizations. This provides reproducibility, isolation of tenants, and easy upgrades in a production-ready Kubeflow cluster.
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2S7lDiS.
Sasha Rosenbaum shows how a CI/CD pipeline for Machine Learning can greatly improve both productivity and reliability. Filmed at qconsf.com.
Sasha Rosenbaum is a Program Manager on the Azure DevOps engineering team, focused on improving the alignment of the product with open source software. She is a co-organizer of the DevOps Days Chicago and the DeliveryConf conferences, and recently published a book on Serverless computing in Azure with .NET.
Using Innoslate for Model-Based Systems EngineeringElizabeth Steiner
Dr. Steve Dam will walk you through the process of using Innoslate’s modeling and simulation capabilities while applying a MBSE methodology.
At its core, Innoslate is a full model-based systems engineering tool. Within Innoslate, system models are formalized and capable of simulation to derive cost, schedule, and performance data.
Your webinar will cover:
Functional modeling
Functional modeling is at the heart of how Innoslate derives new requirements and ensures logical accuracy.
Physical modeling
We can describe synthesizing the physical model in Innoslate with eight different diagrams, including the Asset Diagram, Layer Diagram, Block Definition Diagram, and Internal Block Diagram.
Executing a model
Innoslate includes a ‘Discrete Event Simulator’ to verify functional diagram’s logic, calculate cost, compute time, and quantify performance.
Relating Requirements to Diagrams
Requirements traceability ensures that the lifecycle and origin of a requirement is fully tracked. Innoslate includes relationship matrices to represent traceability relationships between entities in tabular view.
Requirements Generation
After modeling the system, often an engineer will derive textual requirements from the models by hand. Innoslate includes an automatic facility that generates requirements documents in a standard format (as outlined in “The Engineering Design of Systems: Models and Methods“).
Keynote: Trends in Modern Application Development - Gilly Dekel, IBMCodemotion Tel Aviv
Modern application development trends include:
- Microservices and containerization to break applications into independently deployable modules.
- Leveraging AI and cognitive services through APIs to add capabilities like language processing, vision, and data insights.
- Building multi-channel applications that provide consistent experiences across different devices and channels.
- Adopting serverless architectures where code only runs when triggered to reduce operational overhead.
How to Leverage Machine Learning (R, Hadoop, Spark, H2O) for Real Time Proces...Codemotion Tel Aviv
The document discusses applying machine learning models to real-time data streams. It covers building analytic models from historical data using tools like R, TensorFlow and Hadoop. It then discusses applying these pre-built models to real-time streaming data using frameworks like Apache Spark, TIBCO StreamBase and H2O to power applications like predictive maintenance and manufacturing analytics. The key takeaway is that machine learning on historical data finds insights, while stream processing applies these models in real-time to drive closed-loop analytics and enable real-time action.
Advanced Integrated Model-Driven Development Tool for USN Applications in Per...JM code group
Advanced Integrated Model-Driven Development Tool for USN Applications in Pervasive Computing Environment
The 2009 International Conference on Future Generation Communication and Networking
Woojin Lee, Jang-Mook Kang,
Yoon-Seok Heo, Bong-Hwa Hong
Presented by kang, jang mook(sejong Univ.)-mooknc@gmail.com
redsea@sejong.ac.kr
December 10th, 2009
16:30-16:45
Technical Session 15
CAN/FGCN-KIIT #2 401A
Cloud Native Architectures with an Open Source, Event Driven, Serverless Plat...Daniel Krook
IBM keynote at CloudNativeCon / KubeCon in Seattle, Washington on November 8, 2016.
https://cnkc16.sched.org/event/8K4c
New cloud programming models enabled by serverless architectures are emerging, allowing developers to focus more sharply on creating their applications and less on managing their infrastructure. The OpenWhisk project started by IBM provides an open source platform to enable these cloud native, event driven applications.
Daniel Krook, Senior Software Engineer, IBM
The document presents a software bug prediction model. It aims to build a resilient bug prediction model through simulation on open source issue trackers like Jira and Bugzilla. It also aims to conduct a comparative study of the new model against existing competitive models. The model will make use of data from software repositories, bug reports, and code artifacts to predict bugs. Open source projects like Eclipse, Mozilla and Android will be used for simulations. Data mining tools like WEKA and RAPID MINER will be utilized extensively. The model also aims to facilitate code refactoring to improve software maintenance activities like modification and enhancement. Literature in the areas of bug prediction and code refactoring will be surveyed. The research will be conducted in
IncQuery Labs provides cloud-based modeling solutions to enable tool integration in model-based systems engineering (MBSE). Their IncQuery tool suite includes a desktop query authoring tool and backend server that allows running complex queries on large models. IncQuery was used to develop an interoperability platform for Airbus that automates workflows involving transformations between modeling tools and generates reports through a web interface.
Rohit Vijay Bapat's resume summarizes his education and professional experience in software development. He has a MS in Mechanical Engineering from Missouri University of Science and Technology and a BE in Mechanical Engineering from University of Pune. His experience includes roles at Tata Consultancy Services, Mindware Engineering, SigmaTEK Systems, and Vaal Triangle developing CAD/CAM and shopfloor software. He has strong skills in C++, C#, Delphi, and CAD tools like AutoCAD, ProE, and NX.
How to Measure DevRel's Perfomances: From Community to Business - Channy Yun ...Channy Yun
Developer relations are an impactable to generate business values in many software companies who hope to gain mindshare of developers in various approaches from contributing open sources to gaining meaningful sales leads. In this session, you’ll learn about how to measure the perfomrmance of developer relations for building community, increasing impacts and generating leads for sales.
https://tokyo-2018.devrel.net/speakers/yun/
B Kindilien-The Digital Age of ManufacturingjgIpotiwon
Making modeling and simulation make sense to manufacturers: You’ve seen the video games young people play: Computer-generated environments with rich three dimensional (3D) visuals and hardware with force feedback, touch-sensitive game controllers, and head-mounted displays that give the gamer a nearly (virtual) exact contextual representation of the world (reality) we live in. Think these tools are child’s play? The National Aerospace Leadership Initiative’s (NALI) modeling and simulation team wants you to think again.
Modern Manufacturing Technology
The document discusses modern, unconventional machining methods that have emerged over the past 50 years to address difficulties in machining harder metals and alloys using conventional methods. Unconventional methods remove material without mechanical contact using various forms of energy, including mechanical, electrical, thermal, and chemical energy. They offer advantages like being unaffected by workpiece hardness, producing less tool wear and residual stresses, and enabling the machining of complex shapes. The document classifies unconventional methods based on the type of energy used and discusses some examples and their material removal mechanisms. It also covers advantages, limitations, and abbreviations of unconventional machining processes.
Micromachining is used to fabricate micro-components between 1 to 500 μm in size. It involves removing material at the micro/nano level through techniques like photolithography, etching, LIGA, and mechanical micromachining. Photolithography uses light to transfer patterns to photoresist, while etching chemically removes layers. LIGA involves x-ray lithography, electroplating, and molding to produce high aspect ratio parts. Bulk machining etches the silicon substrate, while surface machining builds structures by depositing and etching layers on the substrate. Micromachining enables the miniaturization of devices and production of complex micro-scale parts with high precision and surface finishes.
Download editable road map power point slides and road map powerpoint templates SlideTeam.net
The document provides instructions for editing images in PowerPoint presentations. It explains how to ungroup objects, change colors, and edit shapes. Images can be downloaded from the provided website and edited to capture audiences' attention and bring presentations to life. All images are 100% editable and customizable to fit users' needs.
The document contains templates for timeline graphs that span different time periods from 4 to 12 years displayed in monthly or yearly intervals. Each template includes text boxes labeled "Put Text Here" to allow customization with descriptive text and metrics. Line graphs below some templates illustrate example data plots over time. The templates are intended to facilitate creation of timelines and comparisons across multiple time periods within a single slide presentation.
B Kindilien Finding Efficiency In Mach 120408jgIpotiwon
Presentation at the 2008 Defense Manufacturer\'s Conference (DMC), Orlando, FL: The advent of finite-element modeling based systems has ushered in an era of physics-based prediction of machining operations, giving engineers new insight into designing machining strategies. Some technologies are being employed as machining process development tools. Others are being applied by companies following the tool path generation process in the computer-aided manufacturing (CAM) software systems. Further, other software technologies are evolving within the CAM software systems users currently operate, offering dramatic reductions in machining cycle times by affecting air cuts and feed rates. But users still wonder how to apply these various approaches; they puzzle over what approaches work for their shop practices. Attendees described after this presentation that they had a clearer sense of how strategic changes in machining approaches and implementation of the right technology for a given manufacturing condition can make all the difference.
This document discusses intelligent energy systems and how National Instruments provides technologies to help address challenges in energy generation, transmission, and usage. Some key points:
- National Instruments is a leading provider of computer-based measurement and automation technologies headquartered in Austin, TX.
- There are many engineering challenges in energy including improving renewable energy efficiency, developing alternative transportation systems, and increasing overall energy efficiency.
- National Instruments offers graphical system design platforms, hardware, and software like LabVIEW and CompactRIO to help design, prototype, and deploy solutions for monitoring renewable energy systems, smart grid technologies, power quality monitoring, and more.
TAG Manufacturing Kick Off Meeting, The Future of ManufacturingMelanie Brandt
The document summarizes research being conducted at the Manufacturing Research Center (MARC) at Georgia Tech. MARC focuses on developing new manufacturing technologies in areas like design, machining, rapid prototyping, and factory information systems. Specific projects mentioned include developing nano-lubricants to improve grinding efficiency, using lasers for hard turning and coating applications, and applying thin-film wireless sensors to monitor machining processes. MARC aims to improve productivity, lower production costs, develop new materials and processes, and transfer technologies to industry.
Slides I presented at the IIE Annual Conference in Miami FL, back in June 2009. They talk about the work I\'ve done with integrating eVSM value stream mapping with the DELMIA QUEST simulation tool
Norton Consulting provides advanced analysis, optimization, and software development services across several industries including aerospace, manufacturing, healthcare, and defense. They have expertise in areas like finite element analysis, machine vision, signal processing, biomechanics modeling, and computational electromagnetics. Their work involves developing customized solutions using techniques like topology optimization, multi-physics analysis, and high-performance computing.
The document discusses using deep learning and artificial intelligence to predict and prevent manufacturing defects. It presents a framework that uses CAE simulation and deep learning to model the relationship between input control parameters and output system responses for multi-stage production systems. This enables intelligent root cause analysis of defects by estimating input parameters given an output. The approach aims to solve challenges like high dimensionality, data uncertainty, and model transferability. Software called Deep Learning for Manufacturing is presented that implements solutions like adaptive sampling and 3D CNNs to address these challenges. Potential competitive advantages include improved quality, productivity, and reduced costs through increased root cause analysis capabilities.
3d printer electronics engineering live projects abstracts @1000KV Technologi...1000kv technologies
electronics engineering live projects abstracts
electronics projects, electronics projects for engineering final year students, electronics and communication engineering projects for final year students,100kv,1000kv,1000kv technologies,1000kv projects,technologies,live projects,Hyderabad live projects,live projects in, diploma low cost projects,1000kv projects, , academic projects,btech live projects,Hyderabad,1000kilovolts,1000kilovolts technologies ,btech main projects ,
Review of Development done in Computerization of Electrical Specifications fo...ijsrd.com
In the past, the process of preparation of Electrical Specification for Transformers was carried out by drafting in AutoCAD and Transformer Design calculations were done manually based on output data obtained from Disintegrated Transformer Design programs. In today's competitive environment, where design cycles have reduced drastically, it becomes imperative to fully computerize the Electrical Specification Document Generation for Transformer Design to speed up the whole design process.
This document is a seminar report on computer aided process planning submitted by Jashid P.P. to the Department of Electronics and Instrumentation Engineering at KMCT Polytechnic College. It includes an abstract that provides an overview of computer aided process planning and its importance. It also includes chapters that cover topics like process planning, computer aided process planning, group technology, literature on CAPP methodology and applications, benefits of CAPP, and conclusions. The report is certified by the head of the department and includes acknowledgements and contents pages.
Digital simulation tools enable designers to virtually prototype industrial controls engineering, by Don Talend, brand storytelling, content management, and content strategy expert. Industrial controls industry
“Virtual machining” is a modelling process that realistically simulates the setting up and running of an actual machining operation. First, the user specifies the stock from which the part will be cut, either by entering dimensions into the software or importing a CAD model. Then, after selecting the cutting tools, the NC program (either G-code data or native CAM output) automatically simulates the motion of the tool removing material from the stock. The programmer can watch the material removal process and see details of how each cut changes the shape of the part. This eliminates having to try to imagine how cuts from the current operation will affect subsequent operations.
Edge optimized architecture for fabric defect detection in real-timeShuquan Huang
In textile industry, fabric defect relies on human inspection traditionally, which is inaccurate, inconsistent, inefficient and expensive. There were automatic systems developed on the defect detection by identifying the faults in fabric surface using the image and video processing techniques. However, the existing solution has insufficiencies in defect data sharing, backhaul interconnect, maintenance and etc. By evolving to an edge-optimized architecture, we can help textile industry improve fabric quality, reduce operation cost and increase production efficiency. In this session, I’ll share:
What’s edge computing and why it’s important to intelligence manufacturing
What’s the characteristics, strengths and weaknesses of traditional fabric defect detection method
Why textile industry can benefit from edge computing infrastructure
How to design and implement an edge-enabled application for fabric defect detection in real-time
Insights, synergy and future research directions
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2021/02/introduction-to-the-tvm-open-source-deep-learning-compiler-stack-a-presentation-from-octoml/
Luis Ceze, Co-founder and CEO of OctoML, a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, and Venture Partner at Madrona Venture Group, presents the “Introduction to the TVM Open Source Deep Learning Compiler Stack” tutorial at the September 2020 Embedded Vision Summit.
There is an increasing need to bring machine learning to a wide diversity of hardware devices. Current frameworks rely on vendor-specific operator libraries and optimize for a narrow range of server-class GPUs. Deploying workloads to new platforms — such as mobile phones, embedded devices, and accelerators — requires significant manual effort.
In this talk, Ceze presents his work on the TVM stack, which exposes graph- and operator-level optimizations to provide performance portability for deep learning workloads across diverse hardware back-ends. TVM solves optimization challenges specific to deep learning, such as high-level operator fusion, mapping to arbitrary hardware primitives and memory latency hiding. It also automates optimization of low-level programs to hardware characteristics by employing a novel, learning-based cost modeling method for rapid exploration of optimizations.
The document provides predictions for advancements in AI technology in 2023, including:
1) Large-scale digital twins and generative AI transforming production applications and customer service.
2) Coupling of large language models with the ability to describe biology and chemistry for drug discovery.
3) Photorealistic simulation combining with generative AI to create scenarios for training robust autonomous systems.
4) Increasing robot deployment with human interaction through learning safe operation and environments.
The document discusses the challenges of integrating electronics for complex systems as semiconductor technology advances according to Moore's law. It describes how Electronic Development addresses this challenge through an organizational structure of functional clusters, building blocks, and platforms to manage complexity and enable parallel development. The goal is fast and predictable integration through well-defined interfaces and early integration testing to reduce problems during system realization.
From R&D to Market: the industrialization challengeQCB-Conference
From R&D to Market: the industrialization challenge
Maud VINET - Quantum hardware program manager, CEA Leti, France
Explore the multiple challenges of the industrialization path (reliability, scaling, design, value chain) and how to overcome them. See how collective intelligence a key element for success is. Discover QuCube framework, which main objective is to demonstrate a quantum processor for simulation applications.
This document provides an overview of quantum computing presented by Dr Marcus Doherty. It discusses how quantum computing works, important concepts in quantum physics, applications of quantum computing, and opportunities for software professionals. Some key points include:
- Quantum computing offers potential solutions to problems that are intractable for classical computers by exploiting properties of quantum mechanics like superposition and entanglement.
- It works by initializing qubit states, applying quantum gates to encode data and algorithms, then reading out and repeating to build statistics.
- Challenges include errors, limited connectivity, and lack of a quantum random access memory. Software plays a key role in error correction, compilation, and developing applications.
- Potential applications include optimization, machine learning
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/06/accelerating-newer-ml-models-using-the-qualcomm-ai-stack-a-presentation-from-qualcomm/
Vinesh Sukumar, Senior Director and Head of AI/ML Product Management at Qualcomm Technologies, presents the “Accelerating Newer ML Models Using the Qualcomm AI Stack” tutorial at the May 2023 Embedded Vision Summit.
The Qualcomm AI Stack revolutionizes how Qualcomm thinks about AI software and provides the ultimate tool and user interface to enable ecosystem partners to create faster and smarter AI applications for all embedded form factors. Focusing on real user experience challenges centered around model deployment, Sakumar explains how the Snapdragon developer community leverages data types, quantization and neural architecture search—among others—to optimize complex AI architectures for emerging use cases.
Tom Osborne has over 30 years of experience in software development, hardware engineering, and quality management. He has expertise in C/C++, C#, Java, Python, and other languages. He holds a Computer Science degree and certifications in project management. His background includes developing battery management systems, automation systems, and medical applications. Currently he is a battery research engineer investigating lithium battery failures and improvements.
Similar to B Kindilien-Does Manufacturing Have a Future? (20)
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
How to Avoid Learning the Linux-Kernel Memory ModelScyllaDB
The Linux-kernel memory model (LKMM) is a powerful tool for developing highly concurrent Linux-kernel code, but it also has a steep learning curve. Wouldn't it be great to get most of LKMM's benefits without the learning curve?
This talk will describe how to do exactly that by using the standard Linux-kernel APIs (locking, reference counting, RCU) along with a simple rules of thumb, thus gaining most of LKMM's power with less learning. And the full LKMM is always there when you need it!
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
Performance Budgets for the Real World by Tammy EvertsScyllaDB
Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include:
• Understanding performance budgets vs. performance goals
• Aligning budgets with user experience
• Pros and cons of Core Web Vitals
• How to stay on top of your budgets to fight regressions
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
How Netflix Builds High Performance Applications at Global ScaleScyllaDB
We all want to build applications that are blazingly fast. We also want to scale them to users all over the world. Can the two happen together? Can users in the slowest of environments also get a fast experience? Learn how we do this at Netflix: how we understand every user's needs and preferences and build high performance applications that work for every user, every time.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
GDG Cloud Southlake #34: Neatsun Ziv: Automating AppsecJames Anderson
The lecture titled "Automating AppSec" delves into the critical challenges associated with manual application security (AppSec) processes and outlines strategic approaches for incorporating automation to enhance efficiency, accuracy, and scalability. The lecture is structured to highlight the inherent difficulties in traditional AppSec practices, emphasizing the labor-intensive triage of issues, the complexity of identifying responsible owners for security flaws, and the challenges of implementing security checks within CI/CD pipelines. Furthermore, it provides actionable insights on automating these processes to not only mitigate these pains but also to enable a more proactive and scalable security posture within development cycles.
The Pains of Manual AppSec:
This section will explore the time-consuming and error-prone nature of manually triaging security issues, including the difficulty of prioritizing vulnerabilities based on their actual risk to the organization. It will also discuss the challenges in determining ownership for remediation tasks, a process often complicated by cross-functional teams and microservices architectures. Additionally, the inefficiencies of manual checks within CI/CD gates will be examined, highlighting how they can delay deployments and introduce security risks.
Automating CI/CD Gates:
Here, the focus shifts to the automation of security within the CI/CD pipelines. The lecture will cover methods to seamlessly integrate security tools that automatically scan for vulnerabilities as part of the build process, thereby ensuring that security is a core component of the development lifecycle. Strategies for configuring automated gates that can block or flag builds based on the severity of detected issues will be discussed, ensuring that only secure code progresses through the pipeline.
Triaging Issues with Automation:
This segment addresses how automation can be leveraged to intelligently triage and prioritize security issues. It will cover technologies and methodologies for automatically assessing the context and potential impact of vulnerabilities, facilitating quicker and more accurate decision-making. The use of automated alerting and reporting mechanisms to ensure the right stakeholders are informed in a timely manner will also be discussed.
Identifying Ownership Automatically:
Automating the process of identifying who owns the responsibility for fixing specific security issues is critical for efficient remediation. This part of the lecture will explore tools and practices for mapping vulnerabilities to code owners, leveraging version control and project management tools.
Three Tips to Scale the Shift Left Program:
Finally, the lecture will offer three practical tips for organizations looking to scale their Shift Left security programs. These will include recommendations on fostering a security culture within development teams, employing DevSecOps principles to integrate security throughout the development
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
Quality Patents: Patents That Stand the Test of Time
B Kindilien-Does Manufacturing Have a Future?
1. Does American Manufacturing Have a Future? Oct 22, 2008 B r i a n K i n d i l i e n M a n a g e r, P r o c e s s M o d e l i n g a n d S i m u l a t i o n C C A T Eastern Connecticut State University
2. The Big Question Princeton University professor and New York Times columnist Paul Krugman, won the 2008 Nobel Prize for economics The Nobel committee hailed Krugman for his approach "based on the premise that many goods and services can be produced more cheaply in long series, a concept generally known as economies of scale." His theory shows that globalization tends to increase the pressures on urban living because specialization sucks people into these centers of concentration through processes that can result in "regions become divided into a high-technology urbanized core and a less developed 'periphery'," the Nobel jury said. 1 1. “US economist Paul Krugman wins Nobel Economics Prize” by Nina Larson Nina Larson. AFP via Yahoo! News – Mon Oct 13, 9:31 am ET
3. (View CCAT Introduction Video) CCAT works to strengthen technology-led competitiveness via collaboration with industry, government, and academia Nurture existing companies Support a world-class work force Lead innovation and enterprise creation Innovation Education Business Incubation Collaboration Advanced Power Lasers Next Generation Manufacturing Nanotech Biomedical Resource for Improving Competitiveness
4. Helping to Strengthen our Nation Strengthening Economic Competitiveness Education Economic Development Technology Innovation Collaboration E-learning Project Based Interdisciplinary Multicultural
6. Laser Application Laboratory Laser Drilling Work Cell P50L Coupled to Work Cell Nutfield Laser Driller Lasertec DMG 80 Powerdrill Shape Kuka Robot IPG Photonics System Processing Fibers 10kW Yb:Glass Fiber Laser Various Workstations
7. Machining Applications Laboratory CCAT/NCAL are working together to develop an Next Generation Machining Applications Laboratory (NGMAL) in the region to showcase technologies (Q1 2009) Best practices Training Facility The Center will serve as a: A test bed to evaluate machining process optimization software tools A test bed for the latest CNC machines, controllers, and cutting tool technology NGMAL Technical High School Curriculum OJT Regional Centers Community College Curriculum
8. From pp. 18-20 of the Schenectady Electrical Handbook by the American Institute of Electrical Engineers. (Schenectady, NY: General Electric Press, 1904). It is in the Schenectady Collection of the Schenectady County Public Library at Schdy R 621.3 A51s Is this your idea of manufacturing?
11. What is Digital Manufacturing? 3D Product Design/CAD Assembly Sequence Ergonomics Robotics Machining Physics Based Machining Inspection DE Factory Simulation
12. What is Value Stream Mapping? A lean technique used to analyze the flow of materials and information currently required to bring a product or service to a consumer. At Toyota, where the technique originated, it is known as "Material and Information Flow Mapping" 1 Completed the Collaboration with AMPI and Techsolve on VSMs Machining Process of Integrally Bladed Rotors (IBR’s) at PWA and GE Small Hole Drilling processes at GE, PWA and RR Processes Documented in Electronic Value Stream Mapping (eVSM). Virtual Factory Models were Created As Process Baselines 1. Learning to See: Value-stream mapping to create value and eliminate muda by Mike Rother and John Shook ISBN 0966784308
13. Electronic Value Stream Mapping (eVSM) Collects All the Data Required to Build a Factory Model Developing an Interface Directly from eVSM Able to Automatically Build Factory Model Shaped as VSM Interactive Building of Model on DXF Factory Layout Developing Automatic Building of Factory Model on top of DXF Layout
14. The Digital Factory: Tomorrow’s Factory Today Manufacture of F135 Inlet Case New Facility Plan Evaluation Currently Low Rate Production: 1 unit per quarter Anticipating a Full Rate of Production: 1 unit per day Resource Utilization/Qtys? Apply Lean Manufacturing Concepts Enhanced Communications Provided Road Map for Ramp Up
15. Virtual Factory Modeling: Electronic Assembly Received Process Value Stream Map in eVSM Imported Data to Build Factory Model Evaluated Number of Stations, People, Inspectors Required to Meet Projected Production Rates
16. Investigation of Data Visualization 3D Virtual Tours of CCAT/NCAL Facilities Links to Technology Information
17. Grinding Simulation – Vanes, Blades Blade Grinding CDCFG Software Optimized Process Benefits Apply to very complex and difficult to grind components Reduce cycle time (>40%) Reduce wheel usage (~30%) Develop more robust process wheel blade Technology successfully implemented at UTC divisions
18. Broaching Process Modeling Tool design controls chip thickness & specific force Benefits Apply to very complex and difficult to broach components Gain cycle time efficiencies Tackle more difficult operations Model Broaching of Turbine disks to predict force, stresses, and deformation Simulation Results Firtree Slots Broaching
19. Greenfield Facility Concept Stationary fuel cell power plants Building new fuel cell assembly facility Built QUEST model using VSM provided by ConnStep Identified material handling issues, predicted utilizations of resources Fuel Cell Energy, Wallingford, CT
20. Lean Manufacturing Machining Cell Turbine Blade Manufacturing Cell Generated electronic Value Stream Map using eVSM TM Used eVSM to Generate Factory Model of Workcell in QUEST “ What If” lean scenarios were tested in the virtual environment “ CCAT has provided access to tools that have helped us better understand how to make our value stream lean. Using their value stream mapping and factory modeling software, we were able to run “what if” scenarios on our future state. Our team was able to see the impact of batch sizes, buffer stock and asset utilization in a virtual environment before implementation. This has given us the validation we needed to move forward on our shared resource value stream. I highly recommend any manufacturing company to tap into the CCAT’s state of the art offerings.” ~ Brian J. Wilczynski, Continuous Improvement Manager GKN Aerospace – Manchester, CT
21. Robotic Laser Processing Workcell 8 Dof System, robot (6) integrated with worktable (2) Use Part Geometry to define the robot path Easily Creates robot path in proper part orientation and distance from work point
22. Metrology / Reverse Engineering Integration of Technology for Capturing Legacy System Part Definition into Digital Manufacturing Solutions Software Applications ( RapidForm, Geomagic, PolyWorks ) Inspection Technology for Data Collection Feature Based Machining
23. Reverse Engineering Original Corsair Pitot Fairing Scanned & Meshed Solid Model From This To This To This Electronic product definition does not exist Generate a feature based solid model from an original part.
25. Virtual Reality Based Training/Ergonomics Design the process with the actual product definition during the product design phase Verify the process with the actual product definition Document the process for teaching the workforce Intuitive learning by doing, without the cost of having real hardware in place, ergonomic assessment Practice in virtual environment at lower cost Easy to track and document the students capabilities Tour of Virtual Reality lab at CCAT Pitkin St. facility
26. Virtual Prototyping of Functional Design Demonstration in SolidWorks for Virtual Prototyping to demonstrate Crane functionality and visual of assembly sequence for operation Same SolidWorks model was also used to determine the center of mass for each sub-assembly included within the crane in a matter of minutes
27. Using COMSOL Multiphysics® FEA Analysis of Proton Exchange Membrane (PEM) Fuel Cell with GenCell Corporation Univ. of Arizona, Boeing, USAir Force program Fuel Cell Performance Analysis Ability to Analyze Fluid Flow Heat Transport Diffusion through Membrane Chemical Reaction Benefits Visualize and Optimize internal flow through channels Predict Electrical and Thermal Output Optimize Stack Design
28. What is Machining Optimization? CAD / CAM systems have a lot of onboard intelligence CNC machines and their controllers have a lot of onboard intelligence But there’s a disconnect! Design Post Processor G/M Codes Download NC code 3D CAD Generate NC code CAM CNC Machine CAM Software Applies Constant Feedrates Why not variable feedrates depending on the depth of cut/material/tools used? Case for toolpath optimization?
29. Machining Implementation Scenario Design 3D CAD Integrate Optimization Tool with CAM! Improved NC Code #2 Advanced Machining Implementation Scenario Machining Game Changer Scenario Seeking companies for application to beta test process. Current participants include: NIST ■ NCDMM ■ TechSolve ■ CNC Software Soliciting participant recommendations from MAI Generate NC code CAM Download NC code Analysis of Process TWS CutPro NC Code #1 Additional Effort to Analyze Processes, with another piece of Software….. Multiple copies of NC Program to Track….. Not Associated to CAM Validate Process Machine Simulation NC Code #1 Minimal Additional Effort to Analyze Processes included in the CAM process…. Only one version of NC Program to track….
30. Machining Game Changer Optimization Machining of Titanium Ti-6Al-4V forging Obtained MasterCAM files Tool data Workpiece geometry NC files from the CNC machine tool Identified roughing tools for optimization Applied Machining Game Changer Inserted variable feed rates Balanced tangential force Actual cycle time savings of 11 minutes per part, or 10% per piece 11 minutes x 3,000 parts = 550 hours saved “ What CCAT accomplished for us would not have been possible for us as we are a small manufacturing company with limited resources to complete projects such as these. It is great to have CCAT as a resource to help us remain competitive in a global marketplace.” Tony Nanni, VP of Eng. and Quality
31. Verifying the Machine and Process Modeled Bridgeport CNC Machine in CCSU’s machining laboratory for use in CAD / CAM curriculum Engaging with suppliers to: Demonstrate value of NC verification Build kinematic machine models, controllers, tools, & fixtures Provide library of common aerospace tools and machine components Compare Opti-Path optimization tool capability with others
32. Interactive Learning Environment Teaches the concepts of machining, NC programming and robotics Implemented via USNALI.ORG web site with access to both industry and academia NC Programming System Used at CCSU and West Springfield Tech HS Working on Introduction within All state of Connecticut Technical High Schools
33. Questions? B r i a n K i n d i l i e n M a n a g e r, P r o c e s s M o d e l i n g a n d S i m u l a t i o n b k i n d i l i e n @ c c a t . u s C C A T 2 2 2 P i t k i n S t r e e t, S u i t e 1 0 6 E a s t H a r t f o r d, C T 0 6 1 0 8 w w w . c c a t . u s 8 6 0 - 2 9 1 - 8 8 3 2