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Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering)
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Ian T. Cameron 作者
Academic Press
譯者
2001-06-12 出版日期
543 頁數
USD 143.00 價格
Hardcover
叢書系列
9780121569310 圖書編碼

Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 圖書標籤: 專業書籍類  CBE   

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Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 著者簡介

Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 著者簡介

Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Process Modelling and Model Analysis, Volume 4 (Process Systems Engineering) 在線電子書 圖書描述

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. It introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation. It focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling. It illustrates the notions, tools, and techniques of process modeling with examples and advanced applications.

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