Best Reference Books – Computer Methods in Chemical Engineering

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We have compiled the list of Top 10 Best Reference Books on Computer Methods In Chemical Engineering subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Computer Methods In Chemical Engineering along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Computer Methods In Chemical Engineering subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Computer Methods In Chemical Engineering" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Computer Methods in Chemical Engineering” by Nayef Ghasem

“Computer Methods in Chemical Engineering” Book Review: This book presents the most ordinarily used simulation software, along with the theory involved. This book covers chemical engineering thermodynamics, fluid mechanics, material and energy balances, mass transfer operations, reactor design, and computer applications suitable for chemical engineering. This book provides students with the functions and theoretical background of basic chemical engineering unit operations, how to simulate chemical processes using software packages, how to size chemical process units manually and with software. This book contains exercises and references, each chapter of this book contains a theoretical description of process units followed by numerous examples that are solved step by step via hand calculations and computer simulation using Hysys/Unisim, PRO/II, Aspen Plus, and SuperPro Designer. The book gives students the tools needed to solve real problems involving thermodynamics and fluid-phase equilibria, fluid flow, material and energy balances, heat exchangers, reactor design, distillation, absorption, and liquid–liquid extraction.

2. “Computational Methods in Chemical Engineering with Maple” by Ralph E White and Venkat R Subramanian

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“Computational Methods in Chemical Engineering with Maple” Book Review: This book presents solutions to a wide range of problems related to chemical engineers and others. Many of these solutions use Maple’s symbolic capability to help bridge the gap between analytical and numerical solutions. This book is suitable for senior undergraduate or a first-year graduate student course in chemical engineering. Most of the examples in this book are done in Maple 10. This book encourages the readers to use the classic worksheet (*. mws) option in Maple as it is more user-friendly. Chapter one of this book gives an introduction to Maple which includes simple basics as a convenience for the students such as plotting, solving linear and nonlinear equations, Laplace transformations, matrix operations, ‘do loop,’ and ‘while loop. Chapter two presents linear ordinary differential equations which include homogeneous and nonhomogeneous ODEs, solving systems of ODEs using the matrix exponential and Laplace transform method, adding to these nonlinear ordinary differential equations are presented and include simultaneous series reactions, solving nonlinear ODEs with Maple’s ‘dsolve’ command, stop conditions, differential-algebraic equations, and steady-state solutions.

3. “Data Integrity in Pharmaceutical and Medical Devices Regulation Operations: Best Practices Guide to Electronic Records Compliance” by Orlando Lopez

“Data Integrity in Pharmaceutical and Medical Devices Regulation Operations: Best Practices Guide to Electronic Records Compliance” Book Review: This book provides practical information to allow yielding with data integrity while highlighting and efficiently integrating worldwide regulation into the subject. The ideas presented in this book are based on experience in regulated industries in various computer systems development, maintenance, and quality functions. A practical approach is presented in this book to increase efficiency and to ensure that the design and testing of the data integrity controls are correctly achieved.

4. “Numerical Simulation of Mechanical Behavior of Composite Materials (Lecture Notes on Numerical Methods in Engineering and Sciences)” by Sergio Oller

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“Numerical Simulation of Mechanical Behavior of Composite Materials (Lecture Notes on Numerical Methods in Engineering and Sciences)” Book Review: This book is intended for graduate engineering students who want to expand their knowledge of composite structure behavior. This book presents an original mechanical formulation to treat the nonlinear orthotropic behavior of composite materials. This book gives a very general formulation to simulate the mechanical behavior for traditional composite structures (plywood, reinforced concrete, masonry, etc.), as well as the new composite materials reinforced with long and short fibers, nanotubes, etc. This comprehensive text also contains, two multiple-scale homogenization methods are given, one based on the analytical study of the cells (Ad-hoc homogenization) and the other one, more general based on the finite element procedure applied on the macro scale (upper-scale) and in the micro-sc-ale (sub-scale). Common events occurring in composite materials are also described in this book including fiber-matrix debonding, local buckling of fibers, and its coupling with the overall buckling of the structure. This book gives several numerical examples that evaluate the qualities and capabilities of the general model formulated.

5. “Performance Assessment for Process Monitoring and Fault Detection Methods” by Kai Zhang

“Performance Assessment for Process Monitoring and Fault Detection Methods” Book Review: This book is designed for scientists and students in the field of process control and statistical quality control, electrical engineers, chemical engineers, hot strip steel mill engineers. This book aims to provide instructions and guidance for choosing appropriate PM-FD methods because the performance assessment study for PM-FD methods has become an area of interest in both academics and industry. The book compares basic FD statistics and then assesses different PM-FD methods to monitor the key performance indicators of static processes, steady-state dynamic processes, and general dynamic processes including transient states. The book confirms the theoretical developments using both benchmark and real industrial processes.

6. “Scientific Computing in Chemical Engineering” by Frerich Keil and Wolfgang Mackens

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“Scientific Computing in Chemical Engineering” Book Review: This book is intended for scientists, practitioners, and graduate students in chemical engineering, industrial engineering, and numerical mathematics. The application of modern methods in numerical mathematics on problems in chemical engineering, especially reactor modeling, process simulation, process optimization, and the use of parallel computing is explained in-depth in this book.

7. “Physical Models of Cell Motility (Biological and Medical Physics, Biomedical Engineering)” by Igor S Aranson

“Physical Models of Cell Motility (Biological and Medical Physics, Biomedical Engineering)” Book Review: This book is essentially formulated for physicists, mathematical biologists, and biomedical engineers working in this rapidly developing field, and can serve as supplementary reading for advanced graduate courses in biophysics and mathematical biology. This book surveys the most recent advances in physics-inspired cell movement models. This synergetic, cross-disciplinary effort to increase the fidelity of computational algorithms will lead to a better understanding of the complex biomechanics of cell movement, and stimulate progress in research on related active matter systems, from suspensions of bacteria and synthetic swimmers to cell tissues and cytoskeleton. This book makes understanding the interplay between adhesion, force generation, and motility an abundance of computational models have been proposed in recent years, from finite elements to immerse interface methods and phase-field approaches. The e-book includes experimental and computer animations illustrating various aspects of cell movement.

8. “Artificial Organic Networks (Studies in Computational Intelligence)” by Hiram Ponce-Espinosa and Pedro Ponce-Cruz

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“Artificial Organic Networks (Studies in Computational Intelligence)” Book Review: This book interests academic researchers and graduate students working in areas associated with computational intelligence, intelligent control, systems approximation, and complex networks. This book describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to utilize them. The student is introduced to various kinds of algorithms designed to deal with approximation problems and then, through some conventional ideas of organic chemistry, to the creation and characterization of artificial organic networks and AHNs in particular. The book provides simulated and experimental examples of the use of fuzzy logic and genetic algorithms with organic neural networks are presented and several modeling problems suitable for treatment by AHNs are described, like approximation, inference, classification, and audio-signal filtering. The book concludes with a consideration of directions in which AHNs could be implemented and developed in the future. A complete LabVIEW™ toolkit, downloadable from the book’s page at springer.com enables students to design and implement organic neural networks of their own.

9. “Bioinformatics and Computational Biology in Drug Discovery and Development” by William T Loging

“Bioinformatics and Computational Biology in Drug Discovery and Development” Book Review: This book provides a road map of the current drug development process and how computational biology approaches play a significant role across the entire drug discovery pipeline. Real-life case studies of the impact of a range of computational approaches are discussed at various phases of the pipelines are discussed in this book. Adding to it, a focus section provides innovative visualization approaches, from both the drug discovery process as well as from other fields that utilize large datasets, recognizing the increasing use of such technology. This book is useful to meet the needs of early careers and more experienced scientists, this up-to-date text provides an essential introduction to the process and background of drug discovery, highlighting how computational researchers can contribute to that pipeline.

10. “Mathermatica® Computer Programs for Physical Chemistry” by imusti

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“Mathermatica® Computer Programs for Physical Chemistry” Book Review: This book brings the computational power and elegance of Mathematica to physical chemistry courses, and is organized along the lines of most modern textbooks. This book discusses different kinds of problems encountered in each area of physical chemistry, together with worked examples which are helpful for the students to understand. The appendix of the book outlines the important calculations in physical chemistry and demonstrates how to handle them in Mathematica code.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter