Computer prototyping allows the engineer to build a model of the plant that is as close to the ph... more Computer prototyping allows the engineer to build a model of the plant that is as close to the physical model as possible. Computer software is an essential design tool for food process engineers as it permits them to solve complex problems rapidly. With the information made available, the emphasis can therefore shift from problem solving to planning, conceiving, and interpreting. This chapter first describes equipment and process simulation software, which is fundamental to computer-aided process engineering (CAPE). The main emphasis of CAPE has been on the modeling, simulation, and optimization of process flowsheets, separation processes, and energy utilization. The general attributes of flowsheeting software are then considered and selected commercial packages discussed in some depth. The chapter concludes with two illustrative examples. The first describes the operation of a continuous milk processing plant. The second models a batch/semi-continuous dairy process using a hybrid methodology combining discrete and dynamic simulation techniques.
The development of pharmaceutical products and processes involves laboratory scale, pilot plant s... more The development of pharmaceutical products and processes involves laboratory scale, pilot plant scale and commercial scale manufacturing. Through these steps, data on synthesis routes, material properties, processing steps, and scale up parameters are collected and used. Recent advances in process analytical technologies resulted in a large volume of heterogeneous data, which requires a systematic model of the associated information for optimal use. In addition, software tools are used to support decision-making and process modeling during process development. However, each tool creates and uses information in a specific form, making connection difficult amongst the tools and allowing little interaction with experimental data. In this work, an integrated information management system based on structured information is presented. This system is built to explicitly specify important concepts like physical properties and experiments using ontologies. Based on the developed ontologies, ...
Abstract The Knowledge Provenance Management System, KProMS captures the complete provenance of k... more Abstract The Knowledge Provenance Management System, KProMS captures the complete provenance of knowledge of a structured activity by modeling the details of the associated knowledge generation steps of that activity as workflows. Its unique workflow representation captures relationships between the processing steps and material and information flows, and data input and output. In this paper, we demonstrate the use of KProMS to manage and analyze experimental data for an innovative test bed for manufacturing drug products using drop-wise additive manufacturing. The drop-wise additive manufacturing system (DAMPP) uses drop-on-demand printing technology for depositing various drug formulations onto edible substrates. DAMPP requires and generates a range of data types, including camera and IR images, spectra and numerical parameter values, both of real time and off-line nature and thus serves as rich illustration of KProMS capabilities to serve as knowledge management framework.
In this chapter, the batch process scheduling problem is discussed and approaches to its solution... more In this chapter, the batch process scheduling problem is discussed and approaches to its solution are outlined. The approaches considered include approximate techniques, model-based optimization methods and combined continuous/discrete simulation methods. Model-based scheduling techniques and combined simulation methods are complementary decision-support technologies which offer the best prospects for the routine creation and validation of economical and practical schedules. The extension of this methodology to perform design optimization is feasible given available commercial tools. The material for this chapter was drawn from several sources, especially [1–5].
ABSTRACT Thorough process abnormal events management (AEM) requires accurate fault diagnosis and ... more ABSTRACT Thorough process abnormal events management (AEM) requires accurate fault diagnosis and also a complete supporting system for making correct decisions. In this work, an effective and dynamic integration of AEM and process hazards analysis (PHA) is carried out. In the integrated system, the HAZOP analysis is extended for its use as a supporting tool when facing online abnormal situations. Thus, the extended HAZOP analysis includes quantitative information, in the form of key variables thresholds, and incorporates a set of corrective actions (CAs) to mitigate the harmful considered consequences. The dynamic integration is achieved by generating a protocol where CAs are ranked by the seriousness and urgency of the consequences that they mitigate. The supporting system is developed in a Matlab and Aspen Dynamics integrated framework. An industrial sour water stripping plant is used as case study.
Within an organization, explicit knowledge creation is a very laborious and time consuming activi... more Within an organization, explicit knowledge creation is a very laborious and time consuming activity, accounting for a significant investment of resources. It also requires active participation from people from a wide variety of business functions, for example, management, IT, research, development and so on. The payoff in the investment is through better decision making and competitive advantage over competition on a sustained basis. As the decision making process gets more complex, it becomes imperative that the knowledge be managed such that it is easily discernible and accessible. We have designed a novel framework for knowledge modeling which will be the foundation of a powerful knowledge management system. It builds on the common underlying theme between business workflows, scientific workflows, manufacturing recipes and experimental procedure. These four areas of application cover almost all of knowledge creation activity. We posit that the proposed framework will facilitate e...
Calculations of the heat transfer and melting interface movement rates and temperature and veloci... more Calculations of the heat transfer and melting interface movement rates and temperature and velocity profiles of vertical and horizontal cylinders filled with Phase Change Materials (PCMs) are obtained and compared with experimental data. The experiments with paraffin wax-filled cylinders demonstrated melting rates faster than both pure conduction and natural convection mathematical models, with natural convection figures only 20% greater than measured values. It is concluded that the overall effect of natural convection is to greatly increase heat transfer rates to the PCM, and is a phenomenon that can be used to advantage in the optimum design of heat exchange equipment for thermal energy storage. Bibtex entry for this abstract Preferred format for this abstract (see Preferences) Find Similar Abstracts: Use: Authors Title Keywords (in text query field) Abstract Text Return: Query Results Return items starting with number Query Form Database: Astronomy Physics arXiv e-prints
Computer prototyping allows the engineer to build a model of the plant that is as close to the ph... more Computer prototyping allows the engineer to build a model of the plant that is as close to the physical model as possible. Computer software is an essential design tool for food process engineers as it permits them to solve complex problems rapidly. With the information made available, the emphasis can therefore shift from problem solving to planning, conceiving, and interpreting. This chapter first describes equipment and process simulation software, which is fundamental to computer-aided process engineering (CAPE). The main emphasis of CAPE has been on the modeling, simulation, and optimization of process flowsheets, separation processes, and energy utilization. The general attributes of flowsheeting software are then considered and selected commercial packages discussed in some depth. The chapter concludes with two illustrative examples. The first describes the operation of a continuous milk processing plant. The second models a batch/semi-continuous dairy process using a hybrid methodology combining discrete and dynamic simulation techniques.
The development of pharmaceutical products and processes involves laboratory scale, pilot plant s... more The development of pharmaceutical products and processes involves laboratory scale, pilot plant scale and commercial scale manufacturing. Through these steps, data on synthesis routes, material properties, processing steps, and scale up parameters are collected and used. Recent advances in process analytical technologies resulted in a large volume of heterogeneous data, which requires a systematic model of the associated information for optimal use. In addition, software tools are used to support decision-making and process modeling during process development. However, each tool creates and uses information in a specific form, making connection difficult amongst the tools and allowing little interaction with experimental data. In this work, an integrated information management system based on structured information is presented. This system is built to explicitly specify important concepts like physical properties and experiments using ontologies. Based on the developed ontologies, ...
Abstract The Knowledge Provenance Management System, KProMS captures the complete provenance of k... more Abstract The Knowledge Provenance Management System, KProMS captures the complete provenance of knowledge of a structured activity by modeling the details of the associated knowledge generation steps of that activity as workflows. Its unique workflow representation captures relationships between the processing steps and material and information flows, and data input and output. In this paper, we demonstrate the use of KProMS to manage and analyze experimental data for an innovative test bed for manufacturing drug products using drop-wise additive manufacturing. The drop-wise additive manufacturing system (DAMPP) uses drop-on-demand printing technology for depositing various drug formulations onto edible substrates. DAMPP requires and generates a range of data types, including camera and IR images, spectra and numerical parameter values, both of real time and off-line nature and thus serves as rich illustration of KProMS capabilities to serve as knowledge management framework.
In this chapter, the batch process scheduling problem is discussed and approaches to its solution... more In this chapter, the batch process scheduling problem is discussed and approaches to its solution are outlined. The approaches considered include approximate techniques, model-based optimization methods and combined continuous/discrete simulation methods. Model-based scheduling techniques and combined simulation methods are complementary decision-support technologies which offer the best prospects for the routine creation and validation of economical and practical schedules. The extension of this methodology to perform design optimization is feasible given available commercial tools. The material for this chapter was drawn from several sources, especially [1–5].
ABSTRACT Thorough process abnormal events management (AEM) requires accurate fault diagnosis and ... more ABSTRACT Thorough process abnormal events management (AEM) requires accurate fault diagnosis and also a complete supporting system for making correct decisions. In this work, an effective and dynamic integration of AEM and process hazards analysis (PHA) is carried out. In the integrated system, the HAZOP analysis is extended for its use as a supporting tool when facing online abnormal situations. Thus, the extended HAZOP analysis includes quantitative information, in the form of key variables thresholds, and incorporates a set of corrective actions (CAs) to mitigate the harmful considered consequences. The dynamic integration is achieved by generating a protocol where CAs are ranked by the seriousness and urgency of the consequences that they mitigate. The supporting system is developed in a Matlab and Aspen Dynamics integrated framework. An industrial sour water stripping plant is used as case study.
Within an organization, explicit knowledge creation is a very laborious and time consuming activi... more Within an organization, explicit knowledge creation is a very laborious and time consuming activity, accounting for a significant investment of resources. It also requires active participation from people from a wide variety of business functions, for example, management, IT, research, development and so on. The payoff in the investment is through better decision making and competitive advantage over competition on a sustained basis. As the decision making process gets more complex, it becomes imperative that the knowledge be managed such that it is easily discernible and accessible. We have designed a novel framework for knowledge modeling which will be the foundation of a powerful knowledge management system. It builds on the common underlying theme between business workflows, scientific workflows, manufacturing recipes and experimental procedure. These four areas of application cover almost all of knowledge creation activity. We posit that the proposed framework will facilitate e...
Calculations of the heat transfer and melting interface movement rates and temperature and veloci... more Calculations of the heat transfer and melting interface movement rates and temperature and velocity profiles of vertical and horizontal cylinders filled with Phase Change Materials (PCMs) are obtained and compared with experimental data. The experiments with paraffin wax-filled cylinders demonstrated melting rates faster than both pure conduction and natural convection mathematical models, with natural convection figures only 20% greater than measured values. It is concluded that the overall effect of natural convection is to greatly increase heat transfer rates to the PCM, and is a phenomenon that can be used to advantage in the optimum design of heat exchange equipment for thermal energy storage. Bibtex entry for this abstract Preferred format for this abstract (see Preferences) Find Similar Abstracts: Use: Authors Title Keywords (in text query field) Abstract Text Return: Query Results Return items starting with number Query Form Database: Astronomy Physics arXiv e-prints
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