LEADER 05200nam 22006014a 450 001 9910876722403321 005 20200520144314.0 010 $a1-280-92175-7 010 $a9786610921751 010 $a3-527-61110-X 010 $a3-527-61109-6 035 $a(CKB)1000000000376066 035 $a(EBL)481711 035 $a(SSID)ssj0000120411 035 $a(PQKBManifestationID)11146452 035 $a(PQKBTitleCode)TC0000120411 035 $a(PQKBWorkID)10092546 035 $a(PQKB)10049432 035 $a(MiAaPQ)EBC481711 035 $a(OCoLC)181368569 035 $a(EXLCZ)991000000000376066 100 $a20070906d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aChemical engineering $emodelling, simulation, and similitude /$fTanase G. Dobre and Jose G. Sanchez Marcano 210 $aWeinheim $cWiley-VCH$dc2007 215 $a1 online resource (571 p.) 300 $aDescription based upon print version of record. 311 $a3-527-30607-2 320 $aIncludes bibliographical references and index. 327 $aChemical Engineering; Contents; Preface; 1 Why Modelling?; 1.1 Process and Process Modelling; 1.2 Observations on Some General Aspects of Modelling Methodology; 1.3 The Life-cycle of a Process and Modelling; 1.3.1 Modelling and Research and Development Stage; 1.3.2 Modelling and Conceptual Design Stage; 1.3.3 Modelling and Pilot Stage; 1.3.4 Modelling and Detailed Engineering Stage; 1.3.5 Modelling and Operating Stage; 1.4 Actual Objectives for Chemical Engineering Research; 1.5 Considerations About the Process Simulation; 1.5.1 The Simulation of a Physical Process and Analogous Computers 327 $aReferences2 On the Classification of Models; 2.1 Fields of Modelling and Simulation in Chemical Engineering; 2.1.1 Steady-state Flowsheet Modelling and Simulation; 2.1.2 Unsteady-state Process Modelling and Simulation; 2.1.3 Molecular Modelling and Computational Chemistry; 2.1.4 Computational Fluid Dynamics; 2.1.5 Optimisation and Some Associated Algorithms and Methods; 2.1.6 Artificial Intelligence and Neural Networks; 2.1.7 Environment, Health, Safety and Quality Models; 2.1.8 Detailed Design Models and Programs; 2.1.9 Process Control; 2.1.10 Estimation of Parameters 327 $a2.1.11 Experimental Design2.1.12 Process Integration; 2.1.13 Process Synthesis; 2.1.14 Data Reconciliation; 2.1.15 Mathematical Computing Software; 2.1.16 Chemometrics; 2.2 Some Observations on the Practical Use of Modelling and Simulation; 2.2.1 Reliability of Models and Simulations; 2.2.2 The Role of Industry as Final User of Modelling and Simulation; 2.2.3 Modelling and Simulation in Innovations; 2.2.4 Role of Modelling in Technology Transfer and Knowledge Management; 2.2.5 Role of the Universities in Modelling and Simulation Development; References 327 $a3 Mathematical Modelling Based on Transport Phenomena3.1 Algorithm for the Development of a Mathematical Model of a Process; 3.1.1 Some Observations about the Start of the Research; 3.1.2 The Limits of Modelling Based on Transport Phenomena; 3.2 An Example: From a Written Description to a Simulator; 3.3 Chemical Engineering Flow Models; 3.3.1 The Distribution Function and the Fundamental Flow Models; 3.3.2 Combined Flow Models; 3.3.3 The Slip Flow Effect on the Efficiency of a Mechanically Mixed Reactor in a Permanent Regime; 3.3.4 Dispersion Flow Model; 3.3.5 Examples 327 $a3.3.5.1 Mechanically Mixed Reactor for Reactions in Liquid Media3.3.5.2 Gas Flow in a Fluidized Bed Reactor; 3.3.5.3 Flow in a Fixed Bed Catalytic Reactor; 3.3.6 Flow Modelling using Computational Fluid Dynamics; 3.4 Complex Models and Their Simulators; 3.4.1 Problem of Heating in a Zone Refining Process; 3.4.2 Heat Transfer in a Composite Medium; 3.4.3 Fast Chemical Reaction Accompanied by Heat and Mass Transfer; 3.5 Some Aspects of Parameters Identification in Mathematical Modelling; 3.5.1 The Analytical Method for Identifying the Parameters of a Model 327 $a3.5.1.1 The Pore Radius and Tortuosity of a Porous Membrane for Gas Permeation 330 $aA description of the use of computer aided modeling and simulation in the development, integration and optimization of industrial processes. The two authors elucidate the entire procedure step-by-step, from basic mathematical modeling to result interpretation and full-scale process performance analysis. They further demonstrate similitude comparisons of experimental results from different systems as a tool for broadening the applicability of the calculation methods.Throughout, the book adopts a very practical approach, addressing actual problems and projects likely to be encountered by the 606 $aChemical engineering$xResearch$xMethodology 615 0$aChemical engineering$xResearch$xMethodology. 676 $a660 676 $a660.072 700 $aDobre$b Tanase G$01760789 701 $aSanchez Marcano$b Jose G$0929469 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910876722403321 996 $aChemical engineering$94199899 997 $aUNINA