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1.Non-Ideal Flow and Reactor Characterization<br> 2.Transfer Function in Chemical Reactors<br> 3.Convolution and Deconvolution of Signals in Chemical Reactor Engineering<br> 4.Partial Differential Equations in Chemical Reactor Engineering: Unsteady State<br> 5.Catalytic Reactor Design<br> 6.Multiphase Reactor Design<br> 7.Biochemical Reactor Design<br> <br>

<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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