Best Reference Books – Computational Methods in Process Engineering

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We have compiled the list of Top 10 Best Reference Books on Computational Methods In Process 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 Computational Methods In Process Engineering along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Computational Methods In Process 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 "Computational Methods In Process 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. “Numerical Heat Transfer and Fluid Flow (Hemisphere Series on Computational Methods in Mechanics and Thermal Science)” by Suhas Patankar

“Numerical Heat Transfer and Fluid Flow (Hemisphere Series on Computational Methods in Mechanics and Thermal Science)” Book Review: This book discusses the topics regarding numerical heat transfer and fluid flow. Main topics included are fluid flow, chemical reaction, heat and mass transfer and processes in engineering equipment. Several numerical methods are discussed for the prediction of the processes used in heat and mass transfer. Simple algebra and elementary calculus are also discussed in this book for easier explanation of numerical methods. students studying mechanical engineering and thermal science can refer to this book.

2. “The Finite Element Method: Basic Concepts and Applications” by Darrell W Pepper and Juan C Heinrich

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“The Finite Element Method: Basic Concepts and Applications” Book Review: This book describes the basic concepts and applications of finite element methods. Topics included are the method of weighted residuals and Galerkin approximation, the finite element method in one dimension, the 2-dimensional triangular element. Other chapters mentioned are the 2-dimensional quadrilateral element, isoperimetric 2-dimensional elements, the 3-dimensional element. Exercises with worked out solutions are provided at the end of each chapter for student’s practice. Graphs, figures and labelled diagrams are provided throughout the book 4 easier explanation of the topics. This book is suitable for students studying advanced level physics.

3. “Computational Fluid Mechanics and Heat Transfer” by Richard H Pletcher and John C Tannehill

“Computational Fluid Mechanics and Heat Transfer” Book Review: This book covers the topics regarding heat transfer and computational fluid mechanics. Main chapters included are partial differential equations, basic discretization methods, application of numerical methods to selected model equations. Other chapters mentioned are applications of numerical methods to the equations of fluid mechanics and heat transfer, Euler’s equations, boundary layer equations, numerical methods for inviscid flow equations. Problems with the respective solutions are described at the end of each unit. All the equations and examples are described in detail with proper labelling. This book is beneficial for mechanical engineering and physics students.

4. “Theoretical Molecular Biophysics (Biological and Medical Physics, Biomedical Engineering)” by Philipp O J Scherer and Sighart F Fischer

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“Theoretical Molecular Biophysics (Biological and Medical Physics, Biomedical Engineering)” Book Review: This book describes the tools for understanding the basic processes in biology. Main topics covered are entropic forces, biophysics, phase separation. Other topics mentioned electron transfer and proton transfer and potentials of mean force. All the equations and processes are described in detail. This book is useful for medical physics and biomedical engineering students.

5. “Introducing Monte Carlo Methods with R” by George Casella and Christian Robert

“Introducing Monte Carlo Methods with R” Book Review: This book mentions the Monte Carlo methods with use of R programming language. Chapters mentioned are basic R programming, random variable generation, Monte Carlo integration, controlling and accelerating convergence. Other chapters mentioned are Monte Carlo optimization, metropolis hasting algorithms, Gibbs samplers, monitoring and adaptation of MCMC algorithms. Exercises and programming problems are added at the end of each unit for student’s practice. References and the terminology are discussed at the end of the book. sufficient examples and illustrations are provided throughout the book. students studying statistics and computer engineering can refer to this book.

6. “Computational Fluid Dynamics With Moving Boundaries (Series in Computational Methods and Physical Processes in Mechanics and Thermal Sciences)” by Wei Shyy

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“Computational Fluid Dynamics With Moving Boundaries (Series in Computational Methods and Physical Processes in Mechanics and Thermal Sciences)” Book Review: This book covers the recent developments in the field of computational fluid dynamics with moving boundaries. Various computational techniques such as Thermo fluid physics, multiphase flow and applied mechanics which involves moving flow boundaries are discussed in this book. Applications on numerous techniques along with numerical solutions of moving boundary problems are provided in this book. All the topics and methods are described in detail with proper examples. This book is beneficial for mechanical engineering and thermodynamics students.

7. “An Introduction to Neural Network Methods for Differential Equations (SpringerBriefs in Applied Sciences and Technology)” by Manoj Kumar and Anupam Yadav

“An Introduction to Neural Network Methods for Differential Equations (SpringerBriefs in Applied Sciences and Technology)” Book Review: This book discusses Different neural network methods for solving differential equations. Network techniques are mentioned in heuristics and intuitive manner for easier understanding of the topics. Step by step instructions on the implementation of methods are provided. Applications and recent developments on solving differential equations through neural network methods are described in this book. This book is beneficial for computer science engineering students.

8. “The Fokker-Planck Equation: Methods of Solution and Applications (Springer Series in Synergetics)” by Hannes Risken and Till Frank

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“The Fokker-Planck Equation: Methods of Solution and Applications (Springer Series in Synergetics)” Book Review: This book covers the solutions and applications of the Fokker Planck equation. Methods covered in this book are the simulation method, the Eigen-function expansion, numerical integration and the variational methods. All the methods are described in detail with proper explained equations and figures. This book is suitable for graduate students in chemical physics, electrical engineering.

9. “Computational Methods in Systems Biology” by Corrado Priami

“Computational Methods in Systems Biology” Book Review: This book discusses the computational methods used in systems biology. Chapters included are modal logics for brane calculus, deciding behavioural properties in brane calculi, type interface in systems biology. Other topics included are A formal approach to molecular docking, regulatory network reconstruction using stochastic logical networks, and a computational model of a central pattern generator. Various scientists and researchers have contributed to writing chapters in this book. Data tables, labelled figures and equations are described in detail for easier understanding of the topics. This book is suitable for advanced medical and molecular biology students.

10. “Stability and Synchronization Control of Stochastic Neural Networks (Studies in Systems, Decision and Control)” by Wuneng Zhou and Liuwei Zhou

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“Stability and Synchronization Control of Stochastic Neural Networks (Studies in Systems, Decision and Control)” Book Review: This book mentions the recent developments in the study of stochastic neural networks. The basic principles, algorithms, methods and applications of stochastic neural networks are presented in this book. Topics included are the novel model of the disturbance driven by Lewy process, research method of M matrix and the adaptive control method of the SNN. This book is beneficial for advanced physics students.

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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