Fundamentals Of Modeling And Analyzing Engineering Systems

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Fundamentals of Modeling and Analyzing Engineering Systems

Author: Philip D. Cha
language: en
Publisher: Cambridge University Press
Release Date: 2000-04-13
System modeling and analysis is a standard activity in every engineering discipline. This text offers a broad-based introduction to engineering systems, incorporating material from mechanical, electrical, aerospace, and chemical engineering. The overall theme that distinguishes the text from others is its unified treatment of disparate physical systems, emphasizing similarities in both the modeling and behaviour of lumped-element systems. Linear graph theory provides the framework for modeling engineering systems as lumped elements. The analysis of system dynamics that follows is organized by behavioral characteristics rather than by engineering subdisciplines. Next, the Laplace transform is introduced as a tool for understanding frequency response. The final chapter covers feedback systems. Every chapter includes a wide variety of examples, as well as exercise problems, drawn from real-world mechanical, electrical, hydraulic, chemical, and thermal systems. Aimed at second and third year undergraduates, this introductory text offers a unified entry to the multidisciplinary world of engineering.
Process Modelling and Model Analysis

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
Structural Modeling and Analysis

Author: Clive L. Dym
language: en
Publisher: Cambridge University Press
Release Date: 1997-06-13
A modern, unified introduction to structural modelling and analysis, with an emphasis on the application of energy methods.