9780121569310-0121569314-Process Modelling and Model Analysis (Volume 4) (Process Systems Engineering, Volume 4)

Process Modelling and Model Analysis (Volume 4) (Process Systems Engineering, Volume 4)

ISBN-13: 9780121569310
ISBN-10: 0121569314
Edition: 1
Author: Ian T. Cameron, Katalin Hangos
Publication date: 2001
Publisher: Academic Press
Format: Hardcover 543 pages
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Book details

ISBN-13: 9780121569310
ISBN-10: 0121569314
Edition: 1
Author: Ian T. Cameron, Katalin Hangos
Publication date: 2001
Publisher: Academic Press
Format: Hardcover 543 pages

Summary

Process Modelling and Model Analysis (Volume 4) (Process Systems Engineering, Volume 4) (ISBN-13: 9780121569310 and ISBN-10: 0121569314), written by authors Ian T. Cameron, Katalin Hangos, was published by Academic Press in 2001. With an overall rating of 3.6 stars, it's a notable title among other Chemical (Engineering) books. You can easily purchase or rent Process Modelling and Model Analysis (Volume 4) (Process Systems Engineering, Volume 4) (Hardcover) from BooksRun, along with many other new and used Chemical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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