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Books in Process design simulation control

  • Digital Twins in Manufacturing: Concepts and Methods

    • 1st Edition
    • Masoud Soroush + 1 more
    • English
    Digital Twins in Manufacturing: Concepts and Methods explores digital twin technologies, providing innovative perspectives and practical insights that transcend traditional coverage. The book addresses the complexities of understanding and applying digital twin concepts in manufacturing environments where professionals often struggle to bridge the gap between physical and virtual systems. Sections cover critical areas such as the systems components of digital twins, foundational definitions, modeling and simulation techniques, data integration, and the role of AI and machine learning. Readers will also gain insights into communication technologies, interoperability, security considerations, and the development lifecycle of digital twins.Each chapter is designed to equip professionals with the knowledge needed to effectively replicate and monitor real-world assets, ultimately enhancing operational efficiency and driving innovation. This is an invaluable asset for engineers, data scientists, IT professionals, and researchers in manufacturing and industrial engineering.

  • Digital Twins in Manufacturing

    Applications and Case Studies
    • 1st Edition
    • Masoud Soroush + 1 more
    • English
    Digital Twins in Manufacturing: Applications and Case Studies explores digital twin technologies, demonstrating how digital twins enhance manufacturing processes, optimize efficiency, and facilitate informed decision-making. By bridging the gap between theoretical knowledge and practical implementation, the book equips professionals with the tools needed to leverage digital twins for improved product quality and operational effectiveness. It covers a wide array of topics, including digital twins for biomanufacturing, polymerization processes, additive manufacturing, and energy industries. Readers will find detailed discussions on predictive maintenance, process optimization, and the integration of AI and IoT strategies.Each chapter presents actionable insights and step-by-step implementation guides, addressing real-world challenges and showcasing successful applications in smart factories and high-risk environments. By bridging the gap between theoretical knowledge and practical implementation, the book equips professionals with the tools needed to leverage digital twins for improved product quality and operational effectiveness.

  • Introduction to Process Systems Engineering

    Basic Principles and Calculations with MATLAB and Python
    • 1st Edition
    • Ioannis K. Kookos
    • English
    Introduction to Process Systems Engineering: Basic Principles and Calculations with MATLAB and Python comprehensively approaches mastering core chemical engineering concepts through computational methods. The book bridges the gap between theory and practice by integrating numerical computations from the outset, enabling students and professionals to develop practical skills alongside foundational knowledge. Covering essential topics such as mass and energy balances, property calculations, vapor-liquid equilibria, and process optimization, the book emphasizes realistic problem-solving using accessible MATLAB and Python programs. Each chapter features real-world examples, progressively increasing in complexity to build confidence and competence. The material is tailored to current chemical engineering practice, making it an invaluable resource for students, researchers, and industry practitioners seeking to enhance their computational and analytical capabilities in process systems engineering. This book empowers readers to learn by doing, fostering a deeper understanding of both theoretical principles and their practical applications.

  • Applied Machine Learning in Chemical Process Engineering

    A Practical Approach
    • 1st Edition
    • Zafar Said + 1 more
    • English
    As machine learning capabilities and functionality increases, more industry experts and researchers are integrating applied machine learning into their research. Applied Machine Learning in Chemical Process Engineering: A Practical Approach serves as a comprehensive guide to equip the reader with the fundamental theory, practical guidance, methodologies, experimental design and troubleshooting knowledge needed to integrate machine learning into their processes. This book offers a comprehensive overview of all aspects of machine learning, from inception to integration that will allow readers from any scientific discipline to begin to examine the capabilities of machine learning. This book will then build upon this overview to offer worked examples and case studies, alongside practical methods-based guidance to walk the reader through integrating machine learning end-to-end. Finally, this book will offer critical discussion of concepts that are interwoven into the ever-evolving principles of machine learning such as ethics, safety and culpability that are crucial when working with machine learning. Applied Machine Learning in Chemical Process Engineering: A Practical Approach will be an invaluable resource for researchers, professionals in industry and academia, and students at graduate level and above who work in chemical engineering and are looking to automate, optimize or intensify their chemical processes. This book will also help professionals in other disciplines and industries looking into integrate machine learning into their work, such as though looking to scale up their processes to an industrial scale or conduct novel research.

  • Supercritical Fluid Technology in Industry

    Recent Advances and Challenges (2014-2024)
    • 1st Edition
    • Ádina L. Santana
    • English
    Supercritical Fluid Technology in Industry: Recent Advances and Challenges (2014-2024) offers new insights into the theoretical and industrial applications of multiple processes included in supercritical technology - combining a review of the established literature with recent advances in theory, current applications, and case studies, to help promote more a sustainable research approach. This books outlines supercritical fluid technology and processes operated with substances at conditions above or near the critical point and enables the reader to understand the basic steps of equipment and processing, explains the different methods of using supercritical technology and applications, current developments that increase economic feasibility and reduce environmental impact. Supercritical Fluid Technology in Industry will be a great guide for anyone looking to supercritical technology as a means of optimizing existing processes or designing new processes with sustainability in mind; this includes industry experts, researchers, academics, students at graduate level and above. This book will also be of value to researchers working with supercritical fluid in other industries, such as the food, pharmaceutical, mineral, electronics, engineering and energy fields.

  • Mechanical and Chemical Engineering in the Age of Artificial Intelligence

    • 1st Edition
    • Hossein Pourrahmani
    • English
    Mechanical and Chemical Engineering in the Age of Artificial Intelligence serves as a comprehensive guide to the integration of artificial intelligence (AI) technologies. The book addresses the critical need to adapt to data-driven approaches, moving beyond traditional deterministic methods. Covering a wide array of topics, from generative design and predictive maintenance to smart manufacturing and sustainability initiatives, this book equips students, academics, and industry professionals with the essential knowledge and tools to thrive in an AI-driven landscape. Delving into the specifics, the book begins with an introduction to AI's role in Industry 4.0 and progresses through practical applications in robotics, energy systems, and process optimization. It explores the revolutionary impact of AI on drug discovery, green engineering, and the circular economy, while also addressing the challenges of adopting these technologies. Each chapter is designed to provide actionable insights, ensuring readers can implement AI solutions to real-world engineering challenges effectively.Mechanic... and Chemical Engineering in the Age of Artificial Intelligence bridges the gap between traditional engineering practices and modern AI applications, empowering the reader to navigate the shifts in their fields, and ensuring they are well-prepared for the future of engineering.

  • Industrial Chemical Process Analysis and Design

    • 2nd Edition
    • Mariano Martín Martín
    • English
    Industrial Chemical Process Analysis and Design, Second Edition uses chemical engineering principles to explain the transformation of basic raw materials into major chemical products. The book discusses traditional processes to create products like nitric acid, sulphuric acid, ammonia, and methanol, as well as more novel products like bioethanol and biodiesel.In addition to providing full code and datasets for download, detailed discussion of advanced in technology, this edition also contains three new chapters. Firstly, covering polymers, including H and L D PE, PMMA, PC, biobased and full analysis of each, including full code for modelling across popular software. Secondly , evaluating phosphoric acid production and fertilizers, and Finally, the third new chapter focuses on blast furnaces – outlining not only the traditional technologies using C as reducing agent, but also analysis of novel technologies using hydrogen. This book will be a comprehensive guide to students and academics working with the latest techniques in process optimization at graduate level and above, including some upper undergraduate researchers. This book will also be very valuable for academics looking to teach or lecture in chemical process engineering. This books will also be a very useful resource for anyone within the process industry - to introduce the analysis of novel technologies as well as the modelling examples including recent software such as python, gProms or even Excel or Matlab to solve reactor modelling and units operation but also process simulators applied to typical chemical processes.

  • Industrial Water Conservation

    Systematic Design Tools and Case Studies
    • 1st Edition
    • Dominic Foo + 3 more
    • English
    Industrial Water Conservation: Systematic Design Tools and Case Studies offers fundamental knowledge of various established process integration tools for water conservation, including water pinch analysis and mathematical programming techniques. The book provides a demonstration of water conservation tools on various industrial case studies, enabling readers to learn how these methods can be implemented in actual industrial settings. Part A provides various systematic methods on water recovery system design based on process integration techniques, whereas Part B provides various industrial case studies covering the success stories of the implementation of the methods covered in Part A.This is an indispensable resource for practitioners in various industrial sectors – chemicals and petrochemicals, pulp and paper, food and beverage, textile, etc., consultants in water-related industries, as well as (post)-graduate students in chemical engineering.

  • Process Plant Design for Chemical Engineers

    Guide to Practical Aspects of Engineering Decision Making
    • 1st Edition
    • Peter Mullinger
    • English
    Process Plant Design for Chemical Engineers: Guide to Practical Aspects of Engineering Decision Making serves as a practical guide for making appropriate, evidence-based decisions in process design. The book provides descriptions and analysis of many examples of real applications from different industries as examples of good and bad decisions, particularly how the information was used. Lessons learned from each example are considered and described to help engineers understand the risks associated with process design decisions and effective management. This resource will be valuable for both chemical engineering students and engineers in industry with it guidance on evidence-based decisions to ensure successful outcomes. It will also be incredibly helpful to engineers faced with the task of scaling up a new process based on lab-scale research, especially those tasked with plant design and designing commercial scale processes. Students and engineers in a range of process industries such as chemical processing, minerals processing, food and wine, energy engineering, and similar related engineering fields will also find the content useful.

  • Artificial Intelligence in Chemical Engineering

    • 1st Edition
    • Farooq Sher
    • English
    Artificial Intelligence in Chemical Engineering explores the integration of artificial intelligence (AI) into various facets of chemical engineering. The book introduces historical information, highlights current state and trends in AI applications, and discusses challenges and opportunities within the field. Foundational principles of AI and machine learning are thoroughly covered, giving readers a solid understanding of basic AI principles, machine learning algorithms, and the crucial processes of model training and validation. The book then delves into the critical phase of data acquisition and preprocessing for AI models, addressing strategies for data collection, ensuring data quality, and techniques for feature engineering and selection.Subsequent chapters cover a wide spectrum of AI applications in chemical engineering. From supervised and unsupervised learning for process modeling to the advanced realm of deep learning applications, this book explores neural networks, convolutional and recurrent architectures, and their real-world applications in process optimization and analysis.