Titel: Chemical Engineering
Autor/en: Tanase G. Dobre, José G. Sanchez Marcano
Modelling, Simulation and Similitude.
150 Abbildungen, 40 Tabellen.
Sprachen: Deutsch Englisch.
Wiley VCH Verlag GmbH
11. Mai 2007 - gebunden - XVI
A 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 reader, as well as fundamentals and solution strategies for complex problems. It is thus equally useful for student and professional engineers and chemists involved in industrial process and production plant design, construction or upgrading.
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.
2 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.
2.1.11 Experimental Design.
2.1.12 Process Integration.
2.1.13 Process Synthesis.
2.1.14 Data Reconciliation.
2.1.15 Mathematical Computing Software.
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.
3 Mathematical Modelling Based on Transport Phenomena.
3.1 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.
18.104.22.168 Mechanically Mixed Reactor for Reactions in Liquid Media.
22.214.171.124 Gas Flow in a Fluidized Bed Reactor.
126.96.36.199 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.
188.8.131.52 The Pore Radius and Tortuosity of a Porous Membrane for Gas Permeation.
3.5.2 The Method of Lagrange Multiplicators.
184.108.40.206 One Geometrical Problem.
3.5.3 The Use of Gradient Methods for the Identification of Parameters.
220.127.116.11 Identification of the Parameters of a Model by the Steepest Slope Method.
18.104.22.168 Identifying the Parameters of an Unsteady State Perfectly Mixed Reactor.
3.5.4 The Gauss-Newton Gradient Technique.
22.214.171.124 The Identification of Thermal Parameters for the Case of the Cooling of a Cylindrical Body.
126.96.36.199 Complex Models with One Unknown Parameter.
3.5.5 Identification of the Parameters of a Model by the Maximum Likelihood Method.
188.8.131.52 The Kalman Filter Equations.
184.108.40.206 Example of the Use of the Kalman Filter.
3.6 Some Conclusions.
4 Stochastic Mathematical Modelling.
4.1 Introduction to Stochastic Modelling.
4.1.1 Mechanical Stirring of a Liquid.
Tanase G. Dobre, born in 1950, graduated from Bucharest Politehnica University (UPB) in 1974 in industrial chemistry and process engineering, receiving his PhD in 1985 in the field of high efficiency mass and heat transfer. One year later, he obtained a lecturer position at the Chemical Engineering Department of UPB, becoming a reader in 1987 and a full professor five years after that. Between 2001 and 2006 he cooperated with ENSCM and IEM in Montpellier in membrane processes modeling and simulation. His main research interest covers mathematical modeling and computer simulation of chemical and biochemical processes, mass transfer with porous medium, mathematical modeling of air, soil and water pollution, intensive processes by heat and mass transfer enhancement, advances in separation processes computing, simulation and experimental checking. Professor Dobre has more than 90 papers, eight books and ten patents to his name.
José G. Sanchez Marcano, born in 1958, graduated from Simon Bolivar University in 1980 in chemistry and process engineering, receiving his Doctorat d'Etat in 1987 from the University of Aix-Marseille III in the field of catalysis and petrochemistry. That same year he took up a position in the Department of Operations and Projects at PEQUIVEN, gaining a postdoctoral position two years later at IRC in Lyon where he worked on catalytic oxidation processes. In 1991 he moved to the CNRS at the Laboratory of process engineering and automatics, working on catalytic membrane reactors and modeling and subsequently in 1994 to the Institut Européen des Membranes in Montpellier, France. Since 2002 he has been a research director and additionally leads the group on Membrane Process Engineering at IEM. His main research interest covers catalytic membrane reactors, gas separation, membrane contactors as well as modeling and simulation of membrane processes. Dr. Sanchez Marcano has more than 60 publications and four patents to his name.