مدل‌سازی فرایند و تحلیل مدل (جلد 4) (مهندسی سیستم‌های فرایند، جلد 4)

This book describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. * Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation. * Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling * Illustrates the notions, tools, and techniques of process modeling with examples and advances applications Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing—of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling Illustrates the notions, tools, and techniques of process modeling with examples and advances applications Content: Introduction Pages xiii-xvi 1 The role of models in process systems engineering Pages 3-18 2 A systematic approach to model building Pages 19-40 3 Conservation principles Pages 41-63 4 Constitutive relations Pages 65-82 5 Dynamic models—Lumped parameter systems Pages 83-122 6 Solution strategies for lumped parameter models Pages 123-161 7 Dynamic models—Distributed parameter systems Pages 163-189 8 Solution strategies for distributed parameter models Pages 191-222 9 Process model hierarchies Pages 223-247 10 Basic tools for process model analysis Pages 251-284 11 Data acquisition and analysis Pages 285-297 12 Statistical model calibration and validation Pages 299-334 13 Analysis of dynamic process models Pages 335-362 14 Process modelling for control and diagnostic purposes Pages 363-386 15 Modelling discrete event systems Pages 387-414 16 Modelling hybrid systems Pages 415-436 17 Modelling applications in process systems Pages 437-469 18 Computer aided process modelling Pages 471-492 19 Empirical model building Pages 493-516 Appendix: Basic mathematical tools Pages 517-525 Bibliography Pages 527-533 Index Pages 535-543 Process modeling is one of the key aspects of process systems engineering. It is a significant activity in most major companies around the world, driven by applications such as process optimization, design, and control.Process Modeling and Modeling Analysis gives a comprehensive treatment of process modeling for the student, researcher, and industrial practitioner. It presents a systematic approach to modeling covering model formulation, documentation, analysis, solution, and validation. Process models depend not only on the process itself, but also on the modeling goal. This book, therefore, places its main emphasis on process models for dynamic simulation and process control purposes.This book:* Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation.* Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling* Illustrates the notions, tools, and techniques of process modeling with examples and advances applications