LEADER 04114nam a2200373Ii 4500 001 991003234199707536 008 070806s2001 caua sb 001 0 eng d 020 $a9780121569310 020 $a0121569314 035 $ab13652825-39ule_inst 040 $aBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazione$beng 082 04$a660.28/0015118$222 100 1 $aHangos, Katalin M.$0824796 245 10$aProcess modelling and model analysis$h[e-book] /$cK.M. Hangos, I.T. Cameron 260 $aSan Diego :$bAcademic Press,$cc2001 300 $axvi, 543 p. :$bill. ;$c26 cm 440 0$aProcess systems engineering ;$vv. 4 504 $aIncludes bibliographical references (p. 527-533) and index 505 0 $aIntroduction -- 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

-- 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; -- Index 520 $aThis 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 applications 533 $aElectronic reproduction.$bAmsterdam :$cElsevier Science & Technology,$d2007.$nMode of access: World Wide Web.$nSystem requirements: Web browser.$nTitle from title screen (viewed on Aug. 2, 2007).$nAccess may be restricted to users at subscribing institutions 650 0$aChemical processes$xMathematical models 650 0$aChemical processes$xComputer simulation 655 7$aElectronic books.$2local 700 1 $aCameron, I. T. 776 1 $cOriginal$z0121569314$z9780121569310$w(DLC) 00112073$w(OCoLC)47402346 856 40$3Referex$uhttp://www.sciencedirect.com/science/book/9780121569310$zAn electronic book accessible through the World Wide Web; click for information 856 42$zPublisher description$uhttp://catdir.loc.gov/catdir/description/els031/00112073.html 856 41$zTable of contents$uhttp://www.loc.gov/catdir/toc/els031/00112073.html 907 $a.b13652825$b03-03-22$c24-01-08 912 $a991003234199707536 996 $aProcess modelling and model analysis$91834594 997 $aUNISALENTO 998 $ale026$b24-01-08$cm$d@ $e-$feng$gcau$h0$i0