Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering (Paperback)Ashok Kumar Verma (author)
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The use of simulation plays a vital part in developing an integrated approach to process design. By helping save time and money before the actual trial of a concept, this practice can assist with troubleshooting, design, control, revamping, and more. Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering explores effective modeling and simulation approaches for solving equations. Using a systematic treatment of model development and simulation studies for chemical, biochemical, and environmental processes, this book explains the simplification of a complicated process at various levels with the help of a "model sketch."
It introduces several types of models, examines how they are developed, and provides examples from a wide range of applications. This includes the simple models based on simple laws such as Fick's law, models that consist of generalized equations such as equations of motion, discrete-event models and stochastic models (which consider at least one variable as a discrete variable), and models based on population balance.
Divided into 11 chapters, this book:Presents a systematic approach of model development in view of the simulation needIncludes modeling techniques to model hydrodynamics, mass and heat transfer, and reactors for single as well as multi-phase systemsProvides stochastic and population balance modelsCovers the application and development of artificial neural network models and hybrid ANN modelsHighlights gradients based techniques as well as statistical techniques for model validation and sensitivity analysisContains examples on development of analytical, stochastic, numerical, and ANN-based models and simulation studies using themIllustrates modeling concepts with a wide spectrum of classical as well as recent research papers
Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering includes recent trends in modeling and simulation, e.g. artificial neural network (ANN)-based models, and hybrid models. It contains a chapter on flowsheeting and batch processes using commercial/open source software for simulation.
Publisher: Taylor & Francis Ltd
Number of pages: 424
Weight: 780 g
Dimensions: 235 x 156 mm
"Overall, the material covered is good. The need for mathematical modeling and simulation, the basic steps involved in the development of mathematical modeling and simulation, and validation of the models are highlighted a systematic way. For large number of situations, the associated mathematical model equations with the relevant boundary conditions/initial conditions are given. The analytical solutions, wherever possible, are given. For situations requiring numerical solutions, MATLAB (R) programs are given. There is a good presentation of the subject materials. The book can be recommended for two courses: one at the undergraduate level (chapters 1 to 4 and 9), and one at the post-graduate level (chapters 5 to 11)."
-Dr. M. Chidambaram, Indian Institute of Technology Madras
"A thorough book on modeling and simulation for different engineering fields that is augmented by case studies from a wide range of applications."
-Jadran Vrabec, Mechanical Engineering, University of Paderborn, Germany
"The strength of the book is the diversity of topics covered starting with models based on simple laws and conservation laws illustrated for multiphase systems without and with reaction. ...The whole picture of process modeling and simulation ends with the last chapter on simulation of large plants."
-Alirio E. Rodrigues, The Faculdade de Engenharia da Universidade do Porto, Portugal
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