Modeling And Analysis Of Chemical Engineering Processes


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Modeling and Analysis of Chemical Engineering Processes


Modeling and Analysis of Chemical Engineering Processes

Author: K. Balu

language: en

Publisher: I. K. International Pvt Ltd

Release Date: 2007


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The chemical process industry faces serious problems with regard to new materials and efficient methods of production due to increasing costs of energy, stringent environmental regulations and global competition. A clear understanding of the processes is required in order to solve these problems. One way is through crisp modeling method; another is through an optimal operation of the process to improve profitability and efficiency. The book is in two parts. The first part discusses the methods of modeling chemical engineering processes through well known mathematical methods involving numerical calculations. This includes the recent concepts of Fuzzy logic and neural nets. The second part describes the efficient optimization methods, which are available for the effective application in many chemical processes. This involves methods of search for extrema as well as optimization, with and without constraint relations. Most books on nonlinear programming are of theoretical type, and the exact procedures of computation are often obscure. But in this book, a number of problems have been worked out. In addition to this, computer programs are included for almost all the topics. Due to the intricacy of optimization programs, the flow charts and the program in clear BASIC language have been provided so that the reader can understand the mathematical methods. The book will be useful for students and practising engineers in the field of chemical engineering, biotechnology, environmental engineering, and applied mathematics

Mathematical Modeling and Analysis of Chemical Engineering Processes


Mathematical Modeling and Analysis of Chemical Engineering Processes

Author: Joao Soares

language: en

Publisher: Academic Press

Release Date: 2015-10-31


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Mathematical Modeling and Analysis of Chemical Engineering Processes is written as a guide for those new to mathematical modeling, to learn to use mathematics as a problem-solving tool. It directly approaches modeling of processes together with the mathematical methods for their solution. The focus of this book is on translating a physical description of a situation into an ordinary or partial differential equation, which is a skill that will help you to approach problems throughout your career in engineering. This book will assist you in the proper selection and use of dedicated numerical methods to model, simulate and characterize chemical systems. It gives also the foundations for the modeling criteria to be adopted for effective solutions. Applications also play a relevant role since they show in practice the use of models and tools. Phenomena and numerical methods are described from their bases in an applied and accessible style. The applications in the appendix are consistent with data, information, methods, and results so as to allow you to completely reproduce what you learn h . Develop modeling components with the MATLAB methods required to solve them . Translate real world engineering problems into mathematical problems . Solve practical problems in reaction engineering, heat and mass transfer using computer aided tools

Process Modelling and Model Analysis


Process Modelling and Model Analysis

Author: Ian T. Cameron

language: en

Publisher: Elsevier

Release Date: 2001-05-23


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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