04114nam a2200373Ii 4500991003234199707536070806s2001 caua sb 001 0 eng d97801215693100121569314b13652825-39ule_instBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazioneeng660.28/001511822Hangos, Katalin M.824796Process modelling and model analysis[e-book] /K.M. Hangos, I.T. CameronSan Diego :Academic Press,c2001xvi, 543 p. :ill. ;26 cmProcess systems engineering ;v. 4Includes bibliographical references (p. 527-533) and indexIntroduction -- FUNDAMENTAL PRINCIPLES AND PROCESS MODEL DEVELOPMENT -- The Role of Models in Process Systems Engineering; -- A Systematic Approach to Model Building; Conservation Principles; Constitutive Relations; -- Dynamic Models - Lumped Parameter Systems; Solution Strategies for Lumped Parameter Models; Dynamic Models - Distributed Parameter Systems -- Solution Strategies for Distributed Parameter Systems; Process Model Hierarchies<P> -- ADVANCED PROCESS MODELING AND MODEL ANALYSIS -- Basic Tools for Process Model Analysis; Data Acquisition and Analysis; Statistical Model Calibration and Validation; Analysis of Dynamic Process Models; Process Modeling for Control and Diagnostic Purposes; Modeling Discrete Event Systems; Modeling Hybrid Systems; Modeling Applications in Process Systems; Computer Aided Process Modeling; Empirical Model Building; Appendix: Basic Mathematic Tools; Bibliography; -- IndexThis 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 applicationsElectronic reproduction.Amsterdam :Elsevier Science & Technology,2007.Mode of access: World Wide Web.System requirements: Web browser.Title from title screen (viewed on Aug. 2, 2007).Access may be restricted to users at subscribing institutionsChemical processesMathematical modelsChemical processesComputer simulationElectronic books.localCameron, I. T.Original01215693149780121569310(DLC) 00112073(OCoLC)47402346Referexhttp://www.sciencedirect.com/science/book/9780121569310An electronic book accessible through the World Wide Web; click for informationPublisher descriptionhttp://catdir.loc.gov/catdir/description/els031/00112073.htmlTable of contentshttp://www.loc.gov/catdir/toc/els031/00112073.html.b1365282503-03-2224-01-08991003234199707536Process modelling and model analysis1834594UNISALENTOle02624-01-08m@ -engcau00