Details

<p>Preface xi</p> <p>Nomenclaturexiii</p> <p><b>Part I Non-ideal Flow Characterization and Chemical Reaction 1</b></p> <p><b>1 Non-ideal Flow and Reactor Characterization 3</b></p> <p>Summary of Residence Time Distribution Properties and Most Important Models 3</p> <p>Residence Time Distribution 3</p> <p>RTD in Ideal Reactors 4</p> <p>Tanks-in-series (TIS) Model 4</p> <p>Dispersion Model 4</p> <p>Bo < 0.01 4</p> <p>Bo > 0.01, Closed–Closed Recipient 4</p> <p>Bo > 0.01, Open–Open Recipient 4</p> <p><b>2 Chemical Reaction in Non-ideal Reactors 55</b></p> <p>Summary of Most Important Models 55</p> <p>Calculation of Conversion 55</p> <p>Tanks-in-series (TIS) Model and Chemical Reaction 55</p> <p>Dispersion Model and Chemical Reaction 55</p> <p>From RTD Runs 56</p> <p>Mass Balance in Ideal Reactors 57</p> <p>Arrhenius Law for Kinetic Constants 57</p> <p><b>3 Transfer Function in Chemical Reactor Design 123</b></p> <p>Summary of the Equations and Concepts 123</p> <p>Transfer Function 123</p> <p>Laplace Transform of Some Functions 123</p> <p>Transfer Function in Ideal Reactors 124</p> <p>CSTR 124</p> <p>PFR 124</p> <p><b>Part II Convolution and Unsteady State in Chemical Reactors 139</b></p> <p><b>4 Convolution and Deconvolution of Signals in Chemical Reactor Engineering 141</b></p> <p>Summary of Equations and Methods 141</p> <p>Convolution 141</p> <p>Deconvolution 143</p> <p><b>5 Partial Differential Equations in Chemical Reactor Engineering 157</b></p> <p>Summary 157</p> <p>Finite Differences Method (FDM) 157</p> <p>First Derivative 157</p> <p>Second Derivative 157</p> <p>Stability of the FDM 157</p> <p>Ideal Reactors Working in Unsteady State 158</p> <p>CSTR Working in Unsteady State 158</p> <p>PFR Working in Unsteady State (No Dispersion) 158</p> <p>PFR Working in Dynamic Regime (With Dispersion) 159</p> <p><b>Part III Catalytic and Multiphase Reactor Design 213</b></p> <p><b>6 Reaction Rate in Catalytic Processes 215</b></p> <p>Summary of Equations for the Catalytic Reactor Design 215</p> <p>Rate in Heterogeneous Systems 215</p> <p>Rate of External Diffusion 216</p> <p>Dimensionless Numbers and Their Relationship 216</p> <p>Internal Diffusion Effect 217</p> <p>Combination of Resistances 218</p> <p>Process of Absorption (No Reaction) 218</p> <p><b>7 Catalytic Reactor Design 253</b></p> <p><b>8 Multiphase Reactor Design 299</b></p> <p>Summary of Rate Expressions 299</p> <p>Process of Absorption (No Reaction) 299</p> <p>Fluid–Fluid Reaction 299</p> <p>Fluid–Fluid (Gas–Liquid) Reaction in Catalysts 301</p> <p><b>Part IV Biochemical Reactor Design 335</b></p> <p><b>9 Biochemical Reactor Design: Enzymatic Processes 337</b></p> <p>Summary of Kinetic Expressions 337</p> <p>Enzymatic Reactions 337</p> <p>Michaelis–Menten Kinetics 337</p> <p><b>10 Biochemical Reactor Design: Microbial Growth 357</b></p> <p>Summary of Kinetic Expressions and Mass Balances in Bioreactors 357</p> <p>Bibliography 385</p> <p>Index 387</p>

<p><b>Juan A. Conesa, PhD,</b> is a distinguished Professor of Chemical Engineering at the University of Alicante, Spain. With over 30 years of experience, his research focuses on decomposition kinetics, waste degradation, and pollutant analysis under various conditions. He is particularly renowned for his work on dioxins and furans analysis in waste treatment processes. Since 2015, he has led the research group “Waste, Energy, Environment and Nanotechnology (WEEN)” at the University of Alicante.

<p><b>Extensive workbook with more than 200 up-to-date solved problems on advanced chemical reactors for deeper understanding of chemical reactor design</b> <p><i>Problem Solving in Chemical Reactor Design</i> provides in-depth coverage of more than 200 solved complex reactor design problems extracted from core chemical engineering subject areas. The problems in this book cover the design of non-ideal, catalytic, multiphase, heterogeneous, and biochemical reactors rather than focusing on basic Chemical Reactor Engineering concepts. <p>Each complex problem is solved using simple procedures and mathematical tools, enabling readers to better understand the correct procedure for solving problems and solve them faster, more conveniently, and more accurately. <p>This book is inspired by more than two decades of the author’s teaching experience in chemical reactor engineering. Accompanying electronic materials include spreadsheets and easily understandable Matlab^® programs, which can both be downloaded from the Wiley website. <p>Some of the topics covered in <i>Problem Solving in Chemical Reactor Design</i> include: <ul><li>Optimization, operation, and complexities of reactor design in the face of non-idealities such as mixing issues and residence time distributions</li> <li>Utilization of the tanks-in-series model, dispersion model, and intricate combinations of ideal reactors to elucidate the impact on conversion rates</li> <li>Signal processing within the domain of chemical reactor engineering, specifically focusing on convolution and deconvolution methodologies</li> <li>Reaction kinetics, diffusion dynamics, and catalyst efficiency in catalytic reactor design, and design of gas-catalytic and gas-liquid-solid catalyst systems in multiphase reactors</li></ul> <p><i>Problem Solving in Chemical Reactor Design </i>is an excellent learning resource for students and professionals in the fields of chemical engineering, pharmaceuticals, biotechnology, and fine chemistry.

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