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Design and Manufacture of Advanced Machines, Volume II

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machine Design and Theory".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 2842

Special Issue Editors


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1. Polytechnic Institute of Castelo Branco, Av. Pedro Álvares Cabral No 12, 6000-084 Castelo Branco, Portugal
2. SYSTEC—Research Center for Systems and Technologies, ARISE—Advanced Production and Intelligent Systems Associated Laboratory, 4200-465 Porto, Portugal
Interests: electronics; instrumentation; automation; control; robotics; cyber-physical systems; computer vision; image processing and machine learning
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Institute Industrial IT (inIT), Technische Hochschule Ostwestfalen-Lippe (TH OWL), Campusallee 6, D-32657 Lemgo, Germany
Interests: intelligent automation; digitalization; information fusion; industrial image processing; pattern recognition; cyber–physical (production) systems; machine learning; resource-limited electronics; mobile devices
Special Issues, Collections and Topics in MDPI journals

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Mehanical Egineering Department, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Interests: penumatic and hydraulic systems; automation and control; robotics
Special Issues, Collections and Topics in MDPI journals

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Department of Applied Mechanics & Mechatronics, Lutsk National Technical University, Lutsk, Ukraine
Interests: energy-efficient technologies of creation a high-performance powder and composite materials
Special Issues, Collections and Topics in MDPI journals

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Mechanical Engineering Department, MEtRICs Research Center, University of Minho, 4800-058 Guimarães, Portugal
Interests: cyber-physical systems; dependable controllers for dependable mechatronic systems; mechatronic systems design for medical/biomedical applications, wellbeing and/or rehabilitation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to compile papers that report on recent advances and challenges in addressing problems and designing new solutions for industry digitalization, a process aligned with the context of Industry 4.0. Original contributions that present successful solutions to solve real problems in industry are welcome. We believe that this Special Issue will be useful and informative to both researchers and practitioners. In addition, we hope to deliver readers promising new ideas and directions for future developments in the field of industry digitalization. This Special Issue will present the contemporary innovations and engineering achievements of senior scientists and industrial practitioners in these areas.

This Special Issue represents a continuation of our previous Special Issue of “Design and Manufacture of Advanced Machines”. Suitable topics for this Special Issue include, but are not limited to:

  • Additive manufacturing and new hybrid processes;
  • Advanced mechatronics devices;
  • Automation and Robotics;
  • Case studies and testbeds on Smart Manufacturing;
  • Cyber physical systems;
  • Cybersecurity;
  • Developments in Intelligent Manufacturing Systems;
  • Industrial communication protocols;
  • Mechatronics sensing and control;
  • Modelling and simulation for Smart Manufacturing;
  • Smart actuators and materials;
  • Smart material handling and transportation vehicles;
  • Sustainable materials, products and processes;
  • IoT and IIoT;
  • 5G in Industry;
  • Big Data and Machine Learning;
  • Industrial Vision Systems;
  • Vision Guided Robotics;
  • NFC, RFID, BLE and other wireless technology applications;
  • Asset tagging and indoor geolocation

Prof. Dr. Pedro M. B. Torres
Prof. Dr. Volker Lohweg
Dr. Géza Husi
Dr. Eduardo André Perondi
Dr. Katarzyna Antosz
Dr. Oleg Zabolotnyi
Prof. Dr. Jose Machado
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

18 pages, 11509 KiB  
Article
Multidisciplinary Collaborative Design Optimization of Electric Shovel Working Devices
by Juan Wu, Junkang Zhao, Xin Wang and Baoguo Lin
Machines 2024, 12(8), 520; https://doi.org/10.3390/machines12080520 - 30 Jul 2024
Viewed by 655
Abstract
The development of the open-pit mining industry has set higher performance standards for mining electric shovels. Addressing issues such as low efficiency, high energy consumption, and high failure rates in working mining electric shovel devices, this paper comprehensively considers bulk mechanics, structural mechanics, [...] Read more.
The development of the open-pit mining industry has set higher performance standards for mining electric shovels. Addressing issues such as low efficiency, high energy consumption, and high failure rates in working mining electric shovel devices, this paper comprehensively considers bulk mechanics, structural mechanics, and dynamics to conduct a multidisciplinary, collaborative design optimization for electric shovels by introducing the BLISCO method, which is based on an approximated model, into the structural-optimization design process of working electric shovel devices, aiming to enhance the overall performance of electric shovels. Firstly, a dynamic model of an electric shovel is established to analyze the hoist force and crowd force during the excavation process, and an accurate load input for the dynamic analysis is provided through the bulk material mechanics model. Additionally, to ensure that the stiffness of the boom meets the requirements, the maximum stress at the most critical position of the optimized boom is considered. Subsequently, the design variables are screened through experimental design, and an approximate model is established. Focusing on the hoist force, crowd force, maximum stress at the critical position of the boom, and the angle between the dipper arm and the wire rope, a mathematical model is constructed and optimized using a two-level integrated system co-optimization framework based on an approximate model (BLISCO-AM), followed by a simulation. Finally, a test bench for the electric shovel working device is constructed to compare pre- and post-optimization performance. Experimental results show that through the optimized design, the hoist force and crowd force required in a single excavation process are reduced by 6% and 8.48%, respectively, and the maximum angle between the wire rope and the dipper arm is increased by 4%, significantly improving excavation efficiency while ensuring the safety and reliability of the equipment. Full article
(This article belongs to the Special Issue Design and Manufacture of Advanced Machines, Volume II)
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22 pages, 7182 KiB  
Article
Expansion of MK Circle Theory for Dyads and Triads
by Sean Mather and Arthur Erdman
Machines 2023, 11(8), 841; https://doi.org/10.3390/machines11080841 - 18 Aug 2023
Viewed by 1344
Abstract
The MK circles represent a kinematic synthesis tool for the dimensional synthesis of planar dyads. The tool is uniquely useful in its ability to both find specific dyad solutions and help the designer visualize numerous potential dyad pivot locations in the solution space. [...] Read more.
The MK circles represent a kinematic synthesis tool for the dimensional synthesis of planar dyads. The tool is uniquely useful in its ability to both find specific dyad solutions and help the designer visualize numerous potential dyad pivot locations in the solution space. Here, the existing understanding of MK circles is summarized for three and four specified motion positions and extended for additional positions. Then the technique is expanded to show its application to MKT circles for triad synthesis, including solution space visualization, ground pivot specification, and multi-loop synthesis of complex mechanisms. These methods are illustrated by a unifying example that provides a sample procedure for applying the MK/MKT circles, and implements each of the aforementioned techniques. The interchangeability of loop-based synthesis approaches is demonstrated by comparing the new methodology to the compatibility linkages technique. Full article
(This article belongs to the Special Issue Design and Manufacture of Advanced Machines, Volume II)
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