- Modeling and Simulation
- Modelling and Analysis
- Modeling and Simulation in Process Engineering
- Systems Modeling and Simulation Theory
1. Modeling and Simulation
1."Process Modelling" by M M Denn | |
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2."Chemical Process Simulation" by Hussain Asghar
Book Review: This book is an ideal resource for simulation techniques in chemical engineering. It comprehensively covers the fundamental concepts of flowsheeting, partitioning, equation set tearing, process unit networks, matrices sparsity maintenance, convergence promotion methods, and data banks of properties. Additionally, it delves into the background information on formulating models, numerical methods, graph theory applications, and much more.
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3."Computer Methods for Solving Dynamic Separation Problems" by C D Holland and A I Liapis
“Computer Methods for Solving Dynamic Separation Problems” Book Review: The book covers a range of topics related to separation processes, including the fundamental principles, process modeling, and process control. Additionally, it delves into the numerical methods used to analyze the dynamic behavior of separation processes. The intended audience for the book is primarily students who are new to the subject or have only a basic understanding of it. The book is divided into three main parts. The first part focuses on Two-point methods for solving coupled differential and algebraic equations, while part 2 provides a comprehensive overview of multipoint methods. Part 3 covers selected methods for solving partial differential equations. Throughout the book, the reader will find numerous examples of mathematical models to help them better understand the material.
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4."Fundamentals of Modelling Separation Processes" by C D Holland | |
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5."System Simulation and Modeling" by Sengupta
“System Simulation and Modeling” Book Review: The primary focus of the book centers on the components and processes involved in computer-based simulation and modeling. This resource is particularly useful for individuals who are new to the field of computer simulations. Throughout the book, various examples and applications are presented from a range of areas including computer systems, statistics, manufacturing, and insurance to explain concepts to the reader. Additionally, the book serves as a guide on how to construct simulation models while emphasizing the importance of evaluating the results and utilizing them in decision making. The book places significant emphasis on the ‘arena’ simulation model concept while also providing details on other commercially available simulation software such as ‘GPSS, SMSCRIPT, DYNAMO’.
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6."Modeling, Simulation and Optimization of Adsorption Process" by Suman Dutta
“Modeling, Simulation and Optimization of Adsorption Process” Book Review: The primary focus of the book is on the advancement of a wastewater treatment process that utilizes adsorption. Additionally, the book delves into the extraction of hexavalent chromium from tannery effluent and reactive dyes from textile effluent. The book provides an in-depth explanation of the concept of optimization using response surface methodology, utilizing the software ‘MINITAB’. Furthermore, the book covers the creation and application of neural network models, which were developed using ‘MATLAB’. Through the book, readers will gain familiarity with the fundamentals of the adsorption process.
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7."Polymer Processing: Modeling and Simulation" by Tim Osswald & Juan Pablo Hernandez
“Polymer Processing: Modeling and Simulation” Book Review: In this book, readers will find a comprehensive coverage of both traditional and modern technologies used in the plastics industry. It seamlessly blends the engineering modelling and computer simulation aspects of realistic polymer processes. The book caters to the needs of engineering students from both mechanical and chemical backgrounds, providing them with an overview of the polymer process. It is structured into three parts, with the first and second parts introducing polymer processing to senior to graduate-level students, and the third part specifically focusing on simulation in polymer processing for graduate students. Throughout the book, readers can find numerous examples, illustrations, and problems with solutions, aiding in a better understanding of the subject matter.
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8."Discrete Event Modeling and Simulation Technologies" by Sarjoughian Cellier
“Discrete Event Modeling and Simulation Technologies” Book Review: This book represents a collaborative effort, compiling research findings across the fields of artificial intelligence, modeling, and simulation. As a platform for sharing knowledge, it provides a forum for scientists, academics, and professionals to showcase their latest findings and advances in their respective fields of study. Covering an array of technologies in various fields, the book delves into the concepts of computing’s technological developments and their impact on manufacturing, healthcare organizations, and commerce. Through its collection of research papers contributed by scientists from each field, readers can explore a wealth of insights and perspectives.
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9."Discrete-event Modeling and Simulation Theory and Applications" by Gabriel A Wainer
“Discrete-event Modeling and Simulation Theory and Applications” Book Review: The book presents the discrete-event system modeling concepts through the discrete-system event specification (DEVS) approach. It encompasses a vast array of topics related to DEVS model development support and its interaction with other methodologies. The book commences by providing a detailed account of the various forms of simulations supported by DEVS, followed by a discussion on the real-time application of DEVS. Other key concepts explored include the correlation between DEVS and graph transformation, the impact of DEVS variations on simulation performance, and the importance of interoperability and composability with a focus on DEVS standardization. Additionally, the book sheds light on several extensions and abstractions of DEVS models, while thoroughly explaining the theory and analysis behind real-world system identification. It also showcases numerous applications of DEVS, such as optical network-on-chip, construction/building design, process control, workflow systems, and environmental models.
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10."Ullmann's Modeling and Simulation" by Wileyvch
“Ullmann’s Modeling and Simulation” Book Review: The book functions as a manual for computational chemists, scientists, and engineers, covering mathematical fundamentals and complementary approaches to modeling and simulation in chemistry and engineering. In lieu of the detailed 40-volume encyclopedia, this condensed handbook covers all essential concepts. The book commences with a discussion on the role of mathematics in chemical engineering and then progresses to the concepts of designing equations and mathematical modeling for model reactors. The middle sections of the book concentrate on molecular dynamics simulation and molecular modeling. The final portions of the book address the design of experiments and modeling and simulation of microreactors. For easy navigation, a comprehensive index is included.
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11."Simulation and Modelling Methodologies, Technologies and Applications: 60 (WIT Transactions on Modelling and Simulation)" by Honghuan Tan and G Lee
“Simulation and Modelling Methodologies, Technologies and Applications: 60 (WIT Transactions on Modelling and Simulation)” Book Review: This book is a targeted resource designed for researchers and professionals in the field. This book encompasses the proceedings of the esteemed International Conference on Simulation and Modelling Methodologies, Technologies, and Applications held in China in 2014. It showcases a collection of papers presented during the conference, offering valuable insights into the challenges and solutions within the realm of Simulation and Modelling. With a focus on addressing the pertinent issues in the field, this book serves as a valuable reference for those seeking practical and innovative approaches to Simulation and Modelling.
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2. Modelling and Analysis
1."Process Modeling and Model Analysis" by K M Hangos and I T Cameron
Book Review: This book details the diverse models utilized in process engineering, alongside showcasing techniques for managing, processing, and manufacturing. Additionally, it delves into the interactions between the various elements of processes. The book illustrates how process engineers employ different models to conduct feasibility analysis of process designs, evaluate their impact on the environment, and identify potential hazards.
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2."Mathematical Modelling Techniques" by R Aris
Book Review: The book facilitates process design and the management of complex systems. Additionally, it offers a clear path for the mathematical development of process models and comprehension of their analysis. Emphasizing the significance of model goals, the book illustrates essential concepts like model verification, calibration, and validation. Moreover, it demonstrates process modeling techniques through examples and advanced applications, explaining discrete, hybrid, hierarchical, and empirical modeling techniques in detail.
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3."Mathematical Modelling: A Chemical Engineers Perspective" by R Aris
Book Review: This book showcases a range of modeling techniques that enable mathematicians, physicists, and scientists to construct equations. In addition to providing many useful rules for setting up models and solving mathematical problems, the book also explores how to compare different models and offers numerous examples. Its applications cover a wide range of topics, including convective diffusion, chemical kinetics, heat and mass transfer, and modeling philosophy. Furthermore, the book outlines the principles of mathematical modeling, modeling procedures, and engineering problem examples.
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4."Structural Analysis: Principles, Methods and Modelling" by Gianluca Ranzi and Raymond Ian Gilbert
“Structural Analysis: Principles, Methods and Modelling” Book Review: The book’s primary focus is the analysis of engineering structures, catering to both undergraduate students and working professionals. It is organized into four parts, beginning with an exploration of the subject’s fundamentals. The following sections cover classical analysis techniques for indeterminate structures, computer applications, and analysis software like MATLAB. Additional topics include the finite element method, structural stability, and issues involving material nonlinearity. The book features numerous worked-out problems throughout the text, providing readers with a practical understanding of the material.
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5."Statistical Modelling and Analysis Techniques" by Kiruthika and R Vishnu Vardhan
“Statistical Modelling and Analysis Techniques” Book Review: This book covers different facets of modeling and is accessible to both students and researchers. It delves into analytical aspects of random events and multivariate data analysis. The book also includes a dedicated section on Professor Ronald A. Fisher and his contributions to the field. Moreover, readers can explore topics such as data mining, statistical model inference, sampling methods, and reliability studies.
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6."Process Modelling and Model Analysis (Process Systems Engineering)" by Ian T Cameron and Katalin Hangos
“Process Modelling and Model Analysis (Process Systems Engineering)” Book Review: The book is aimed at both students and practicing engineers in the field of process engineering, and it delves into the use of models in this area. The book covers the mathematical development of process models and analytical strategies, as well as various aspects of modeling methodology, including model verification, calibration, and validation. Furthermore, the book discusses different modeling techniques, such as discrete, hybrid, hierarchical, and empirical modeling, providing clear explanations of each.
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7."Electrical Machines: Modelling and Analysis" by Mrittunjay Bhattacharyya
“Electrical Machines: Modelling and Analysis” Book Review: This book showcases several categories of machines used in modeling and analysis. It serves as a valuable reference for both undergraduate and postgraduate students studying electrical engineering. The book commences by elucidating the fundamental principles of energy conversion and essential circuit components. Additionally, it delves into topics such as energy storage in magnetic fields, the implementation of electrical circuits in electro-mechanical devices, and three-phase systems. The book also delves into modern machine analysis techniques such as transient and dynamic operation. Furthermore, readers can find numerous problem-solving examples in the book.
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8."Power System Modelling and Fault Analysis: Theory and Practice" by Tleis
“Power System Modelling and Fault Analysis: Theory and Practice” Book Review: This book covers a range of topics related to power systems, including modeling and fault analysis. It is beneficial for both students and researchers. The text discusses methods for enhancing the efficiency of electrical power systems in terms of design and operation, for safe and economic advantages. Additionally, recent technological advancements such as wind turbine generators, fault current limiters, multi-phase fault analysis, equipment parameter measurement, probabilistic short-circuit analysis, and electrical interference are also addressed.
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9."Modelling and Analysis: An Introduction to System Performance Evaluation Methodology" by H Kobayashi | |
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10."Enterprise Architecture at Work: Modelling, Communication and Analysis (The Enterprise Engineering Series)" by Marc Lankhorst
“Enterprise Architecture at Work: Modelling, Communication and Analysis (The Enterprise Engineering Series)” Book Review: This book provides an overview of constructing integrated enterprise architecture models. The book is a useful reference for both business architects and computer science students, as it outlines specific tools and techniques for effective architectural practice. Additionally, the book covers communication strategies and methodologies that are essential when interacting with stakeholders. The text also delves into various analysis methods, including those related to cost and performance, and includes multiple real-life case studies for readers to learn from.
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3. Modeling and Simulation in Process Engineering
1."An Introduction to Continuous-Time Stochastic Processes (Modeling and Simulation in Science, Engineering and Technology)" by Vincenzo Capasso and David Bakstein
“An Introduction to Continuous-Time Stochastic Processes (Modeling and Simulation in Science, Engineering and Technology)” Book Review: This is a comprehensive book designed for undergraduate and postgraduate students, as well as researchers and practitioners in various fields such as mathematical finance, biomathematics, biotechnology, and engineering. This book covers essential topics including Markov processes, stochastic differential equations, and arbitrage-free markets. It delves into diverse applications such as insurance risk, population dynamics, epidemics, and agent-based models. Additionally, it explores advanced concepts such as infinitely divisible distributions, random measures, Levy processes, fractional Brownian motion, ergodic theory, and Karhunen-Loeve expansion. With additional exercises and applications, this book provides a solid foundation in continuous-time stochastic processes for readers seeking a comprehensive understanding of the subject.
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2."Thermo–Mechanical Industrial Processes: Modeling and Numerical Simulation (Numerical Methods in Engineering)" by Jean–Michel Bergheau
“Thermo–Mechanical Industrial Processes: Modeling and Numerical Simulation (Numerical Methods in Engineering)” Book Review: This book is designed for individuals engaged in industrial work or studying numerical methods used for solving multiphysics problems that arise in manufacturing processes. It provides an up-to-date compilation of information on simulating industrial processes, including necessary data and the benefits of numerical simulation. The book covers a wide range of topics such as welding, friction stir welding, material removal processes, composite structure fabrication processes, sintering processes, surface-finishing techniques, and thermo-chemical treatments used in assembling processes.
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3."Process Modeling, Simulation, and Environmental Applications in Chemical Engineering" by Bharat A Bhanvase and Rajendra P Ugwekar
“Process Modeling, Simulation, and Environmental Applications in Chemical Engineering” Book Review: This book provides an overview of various topics in chemical engineering and technology, and is intended for a diverse audience including researchers, scientists, industry practitioners, and upper-level students. The book is divided into five sections: modeling and simulation, environmental applications, materials and applications, processes and applications, and analytical methods. Within these sections, readers can find information on topics such as material synthesis, analytical techniques, microreactors, and wastewater treatment. The research presented in this book has potential applications in a wide range of industries including food, paper and pulp, polymers, petrochemicals, surface coatings, and oil technology. The book covers a broad range of topics such as modeling and simulation of chemical processes, process integration and intensification, separation processes, advances in unit operations and processes, chemical reaction engineering, fuel and energy, advanced materials, CFD and transport processes, and wastewater treatment.
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4."Bounded Noises in Physics, Biology, and Engineering (Modeling and Simulation in Science, Engineering and Technology)" by Alberto d'Onofrio
“Bounded Noises in Physics, Biology, and Engineering (Modeling and Simulation in Science, Engineering and Technology)” Book Review: The target audience for this book includes individuals who specialize in applied mathematics, mathematical biology, physics, engineering, and other related fields that have an interest in complexity theory. The book provides insights into the modeling of bounded noises in various fields such as theoretical and applied statistical mechanics, mathematical physics, and quantitative biology. The book is organized into four distinct parts. The first part focuses on presenting different types of bounded noises and their respective applications in theoretical physics. The second part delves into the theory of random dynamical systems and random bifurcations, specifically within the context of framed bounded noises. In the third part, the book explores how bounded stochastic processes can be applied in biology, which represents a significant area of interest for this subject. The final section of the book explores the renewed interest in non-Gaussian bounded noises and their applications in mechanical and structural engineering.
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5."Modeling and Simulation of Heterogeneous Catalytic Processes (Advances in Chemical Engineering)" by Anthony Dixon
“Modeling and Simulation of Heterogeneous Catalytic Processes (Advances in Chemical Engineering)” Book Review: This book is a comprehensive resource in the field of chemical engineering. Authored by Anthony Dixon, this book offers valuable insights into the advances in modeling and simulation techniques specific to heterogeneous catalytic processes. The chapters cover a wide range of topics, including reaction kinetics, surface chemistry, catalytic reactor design, catalyst deactivation, and process optimization. With its in-depth analysis and practical applications, this book serves as a valuable reference for researchers, practitioners, and students interested in exploring the intricacies of heterogeneous catalysis.
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6."Process Dynamics: Modeling, Analysis and Simulation (Prentice-Hall International Series in the Physical and Chemical Engineering Sciences)" by B Wayne Bequette
“Process Dynamics: Modeling, Analysis and Simulation (Prentice-Hall International Series in the Physical and Chemical Engineering Sciences)” Book Review: This book offers an introduction to process modeling and dynamics using MATLAB and SIMULINK, with a target audience ranging from Ph.D. professionals to non-degreed technicians and students in the field of chemical engineering. It covers a broad range of topics such as the rationale for process modeling, algebraic equations, numerical integration, linear systems analysis, linear nth Order ODE models, Laplace transforms and transfer function analysis, phase plane analysis, quadratic maps bifurcation behavior, and analysis of chaotic behavior via Lorenz equations.
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7."Complex Flows in Industrial Processes (Modeling and Simulation in Science, Engineering and Technology)" by Antonio Fasano | |
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8."Stochastic Modeling of Microstructures (Modeling and Simulation in Science, Engineering and Technology)" by Kazimierz Sobczyk and David J Kirkner | |
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9."Process Simulation and Parametric Modeling for Strategic Project Management (SpringerBriefs in Electrical and Computer Engineering)" by Peter J Morales and Dennis Anderson
“Process Simulation and Parametric Modeling for Strategic Project Management (SpringerBriefs in Electrical and Computer Engineering)” Book Review: This book is a comprehensive guide designed for electrical and computer engineers and professionals who want to learn about simulation and modeling for strategic project management. The book focuses on the practical implementation of simulation and modeling for strategic project management. It includes topics like process modeling, parametric modeling, strategic project management, and simulation tools. The book also covers concepts like risk management, resource optimization, and cost analysis. The authors provide several case studies and examples to explain the concepts clearly. The book is a useful resource for professionals who want to improve their skills in process simulation and parametric modeling.
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10."Chromatographic Processes: Modeling, Simulation, and Design (Cambridge Series in Chemical Engineering)" by Roger-Marc Nicoud
“Chromatographic Processes: Modeling, Simulation, and Design (Cambridge Series in Chemical Engineering)” Book Review: This practical guidebook is targeted at professionals and researchers in chemical, biochemical, food, and pharmaceutical engineering. The book covers all aspects of chromatographic process design, modeling, and simulation. It includes simple and complex scenarios, multicomponent systems, non-uniform velocity profiles, bed instability, particle size distributions, and the impact of complex environments on process design. Additionally, the book introduces efficient tools for investigating chromatographic processes, such as the ‘Russian-Lego’ approach for linear systems and phenomenological models. It also provides specific shortcuts for deriving key properties of industrial processes, real-world problems and applications, step-by-step modeling design guidelines, and self-assessment exercises.
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4. Systems Modeling and Simulation Theory
1."System Modelling and Response" by Deoblin E O | |
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2."Modern Control Engineering" by Ogata K
“Modern Control Engineering” Book Review: This book focuses on continuous-time control systems’ analysis and design, emphasizing the fundamental principles. The content is organized to facilitate the gradual development of control theory. Additionally, the book provides numerous examples and solved problems to reinforce the concepts.
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3."System Simulation with Digital Computer" by Narasingh Deo | |
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4."Simulation Modelling and Analysis" by Law A M and Kelton W D | |
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5."Theory of Modeling and Simulation, Second Edition" by Bernard P Zeigler and Herbert Praehofer
“Theory of Modeling and Simulation, Second Edition” Book Review: This book presents a comprehensive mathematical framework for modeling and simulating complex systems. It encompasses an extensive modeling and simulation system that integrates diverse simulation approaches. The book covers various aspects of the modeling process, including the formulation of models, implementation of simulation models, and the core activities of model abstraction and simplification. Overall, this book provides an in-depth treatment of the model building process for computer simulation.
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6."Cable System Transients: Theory, Modeling and Simulation" by Akihiro Ametani and Teruo Ohno | |
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7."Modeling and Simulation of Discrete Event Systems" by Byoung Kyu Choi and DongHun Kang
“Modeling and Simulation of Discrete Event Systems” Book Review: This book provides an analysis of a formal model represented by an event graph, which is also referred to as an ACD or state graph. As a formal model, the event graph, ACD, or state graph comprises several modeling techniques and practical illustrations that can aid in constructing intricate real-world models. This book will prove beneficial for students pursuing undergraduate or graduate studies in simulation/industrial engineering and computer science.
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8."Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)" by Averill Law
“Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)” Book Review: This comprehensive book delves into various crucial facets of simulation analysis. It relies on both intuition and an array of statistics, examples, and problems to provide a thorough understanding. Additionally, it serves as an introduction to simulation as part of a broader course in operations research or management science. Whether pursuing a degree in engineering, manufacturing, business, or computer science, this book will prove advantageous to students at the beginner-graduate level.
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9."Dynamic Systems: Modeling, Simulation, and Control" by Craig A Kluever
“Dynamic Systems: Modeling, Simulation, and Control” Book Review: This book delves into significant subjects such as the analysis, design, and control of physical engineering devices, which consist of subsystem components in the realms of mechanics, electricity, and fluid mechanics that interact with each other. The book also covers essential topics such as mathematical modeling, system-response analysis, and an introduction to feedback control systems.
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10."Modeling and Simulation" by Hartmut Bossel
“Modeling and Simulation” Book Review: This book is a comprehensive resource for those interested in understanding the principles and applications of modeling and simulation. The book covers a wide range of topics, including system dynamics, discrete-event modeling, agent-based modeling, and network modeling. It explores the process of building models, data collection and analysis, model validation, and scenario development. With clear explanations and practical examples, Bossel provides readers with the necessary tools and techniques to apply modeling and simulation in various domains. This book is an invaluable reference for students, researchers, and professionals in the field.
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11."Model Design and Simulation Analysis" by Syng Yup Ohn and Sung Do Chi
“Model Design and Simulation Analysis” Book Review: This book is a collection of carefully selected and revised full papers from the 15th International Conference on Systems Simulation, Asia Simulation 2015. It covers model design and simulation analysis and contains 11 papers that were chosen from 126 submissions. The book is organized into sections, allowing readers to easily find and read about specific topics of interest.
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12."Modeling and Simulation in Industrial Engineering (Management and Industrial Engineering)" by Mangey Ram and J Paulo Davim
“Modeling and Simulation in Industrial Engineering (Management and Industrial Engineering)” Book Review: This book presents the most recent advancements in modeling and simulation within the realm of industrial engineering. It comprehensively encompasses topics such as decision and performance analysis, industrial control systems, as well as industry and service case studies. Furthermore, the book delves into engineering economy and cost estimation through the discussion of relevant case studies.
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