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Books in General engineering

Our General Engineering collection provides a broad foundation across multiple engineering disciplines, including fundamentals, design principles, and interdisciplinary innovations. It supports researchers, students, and professionals with essential tools and insights to tackle complex engineering challenges, foster innovation, and integrate emerging technologies such as AI, sustainability practices, and smart manufacturing.

  • Biomechanics of Orofacial Organs and Structures

    • 1st Edition
    • Mohammad Ali Nazari + 2 more
    • English
    Biomechanics of Orofacial Organs and Structures provides fundamental knowledge in functional anatomy and innervation of the orofacial region, in mechanical characteristics of orofacial soft tissues, in the biomechanical modeling of the orofacial organs, and in their use in the context of clinical applications. The book covers the design of biomechanical models that take into account the anatomy, muscle organization, innervation, and specific mechanical properties of muscles and soft tissue. It also discusses how these functions work under normal conditions, and how they degrade after surgery in the context of aging, or in the context of neuropathy altering the efferent or afferent nervous system in the orofacial region.The book is organized into three parts:General knowledge about orofacial organs and structuresBiomechani... modelsClinical applicationsA new volume in the Biomechanics of Living Organs series, this book features the latest research developments in the truly multidisciplinary scientific domain that tackles the understanding and modeling of basic orofacial functions, which are essential for the quality of life of humans.

  • Artificial Intelligence Methods in Railway Infrastructure Systems

    Application of Data Centric Engineering
    • 1st Edition
    • Diogo Ribeiro + 5 more
    • English
    Artificial Intelligence Methods in Railway Infrastructure Systems: Application of Data Centric Engineering offers a thorough exploration of the latest advancements transforming railway management. With a strong focus on practical and theoretical approaches, this book introduces innovative AI techniques including machine learning, computer vision, and predictive analytics. These methodologies are presented in the context of railway infrastructure, empowering engineers and researchers to utilize cutting-edge technology for enhanced system reliability. By bridging the gap between theory and real-world applications, the book enables early detection of anomalies, supporting proactive maintenance strategies and improved operational efficiency in railway networks.This book acts as a vital reference for those seeking to understand and implement AI-driven solutions in railway systems, encouraging the adoption of anticipatory strategies to shape future trends. Readers will discover how AI innovations can streamline operations, optimize resource allocation, and significantly improve network safety, making it an essential guide for professionals looking to stay ahead in the evolving field of railway infrastructure management.

  • BioMEMS Devices

    • 1st Edition
    • Azrul Azlan Hamzah + 2 more
    • English
    BioMEMS Devices covers the fundamentals of bioMEMS and discusses how MEMS are implemented into biomedical devices. The book discusses the most up-to-date technologies, including the various types of electrochemical, optical, and mechanical MEMS sensors. Other topics include bio cell and particle separation and filtration using microfluidic platform such as dielectrophoresis (DEP) and microfilters. MEMS devices for drug mixing, pumping and transdermal drug delivery using microneedles and micropumps are also discussed, along with recent advances in point-of-care diagnostics and MEMS in medical implantsThe book concludes with a discussion on integration of bioMEMS system with IoT, medical practitioners’ adaptation of the devices, market penetration, emerging technologies, and future outlooks.

  • Applied Artificial Intelligence for Engineering Applications

    Empowering Transformative Innovations in Multidisciplinary Engineering
    • 1st Edition
    • Tarek Saadawi + 5 more
    • English
    Applied Artificial Intelligence for Engineering Applications: Empowering Transformative Innovations in Multidisciplinary Engineering offers an integrated view of AI’s transformative potential in multidisciplinary engineering, bridging the gap between AI advances and their applications in various engineering disciplines, including civil, mechanical, electrical, chemical, and robotics. The book starts with an introduction to the field, providing an overview of AI technologies and their relevance to engineering, discussing different AI approaches such as machine learning, reinforcement learning, neural networks, and natural language processing.In addition, the computational tools and software used for each of these approaches are covered, as are AI-driven innovations in electronics design and manufacturing and the role of AI in the development of advanced sensors and IoT devices. Chapters then cover the deployment of AI in specific engineering disciplines, outlining its use in civil engineering, mechanical engineering, production engineering, and chemical engineering. The use of AI as a solution for energy efficiency and management and renewable energy integration is also discussed.

  • Manufacturing

    Design, Science and Engineering of How Things are Made
    • 2nd Edition
    • Erik Tempelman + 1 more
    • English
    Manufacturing: Design, Science and Engineering of How Things are Made, Second Edition presents a fresh view on the world of industrial production, in terms of both abstraction levels and trade-offs. The book invites its readers to distinguish between what is possible in principle for a certain process (as determined by physical law); what is possible in practice (the production method as determined by industrial state-of-the-art); and what is possible for a certain supplier (as determined by its production equipment). Specific processes considered include metal forging, extrusion, and casting; plastic injection molding and thermoforming; additive manufacturing; joining; recycling, and more. By tackling the field of manufacturing processes from this new angle, the book makes the most out of a reader's limited time. It gives the knowledge needed to not only create well-producible designs, but also to understand supplier needs in order to find the optimal compromise. Apart from improving design for production, this publication raises the standards of thinking about producibility.

  • Digital Twins of Advanced Materials Processing

    • 1st Edition
    • Tarasankar DebRoy + 1 more
    • English
    Digital twins represent an emerging technology of immense potential across various industries. Their significance is particularly pronounced within Industry 4.0 and smart manufacturing paradigms, which strive to elevate efficiency and quality through seamless digital integration. By amassing and scrutinizing extensive data streams, digital twins empower data-centric decision-making—a pivotal asset in contemporary industry. Digital Twins of Advanced Materials Processing bridges the gap in comprehensive resources concerning advanced materials processing, a domain characterized by rapid evolution. It provides pragmatic remedies and real-world case studies, catering to tangible implementation needs. Moreover, digital twins hold the capacity to amplify efficiency and innovation within materials processing—a perspective deeply explored within this book, rendering it invaluable for professionals, researchers, and students alike. The prospects of employing digital twins in materials processing span diverse horizons: refining materials innovation, streamlining processes, enabling data-driven maintenance, enhancing product quality, and unearthing insights rooted in data. The book also undertakes the challenge of addressing key issues encompassing data amalgamation and integrity, model validation and calibration, software and data safeguarding, scalability, and cost considerations.

  • Network-Constrained Data-Driven Control of High-Speed Railway Systems

    Adaptive and Learning-Based Approaches
    • 1st Edition
    • Deqing Huang + 1 more
    • English
    Network-Constrained Data-Driven Control of High-Speed Rail Systems: Adaptive and Learning-Based Approaches addresses critical challenges in high-speed railway (HSR) operational control systems, focusing on enhancing safety, efficiency, and automation in an era of rapid network expansion. The book introduces a transformative framework for data-driven adaptive control and multi-train cooperative control under dynamic network constraints. It integrates next-generation 5G-R communication to enable real-time train-to-train (T2T) coordination, reducing dependency on fixed infrastructure and addressing vulnerabilities like faded channels and interference. By combining rigorous theoretical analysis with simulations, the book proposes solutions to improve operational precision, resilience against disruptions, and transportation capacity.This resource is helpful for researchers, engineers, and graduate students in high speed railway control systems, offering innovative strategies to advance autonomous operations and meet the demands of high-density, high-speed rail networks

  • Engineering Materials for 3D Printing

    Synthesis, Functionalization to Applications
    • 1st Edition
    • Rupinder Singh + 3 more
    • English
    Engineering Materials for 3D Printing: Synthesis, Functionalization to Applications delves into the transformative world of additive manufacturing, covering the development and characterization of polymer-based materials crafted through processes such as extrusion, sol-gel, and pulverization. Over the past three decades, 3D printing has revolutionized the creation of functional prototypes, utilizing an array of materials like thermoplastics, resins, metals, and alloys. This book explores the advantages of 3D printing over conventional manufacturing, emphasizing its potential for structural and non-structural engineering applications. It stands out for its focus on meta-structure properties, offering insights into the fabrication of engineering prototypes.While existing literature extensively covers manufacturing processes, this work bridges the gap by exploring 3D printable materials for diverse engineering uses.

  • INTELLIGENT FAULT DIAGNOSIS AND PROGNOSIS FOR INDUSTRIAL SYSTEMS

    CROSS-DOMAIN, ZERO-SAMPLE, AND DEGRADATION MODELING METHODS
    • 1st Edition
    • Hongpeng Yin + 2 more
    • English
    Industrial Fault Diagnosis and Remaining Useful Life Prediction: Cross-Domain, Zero-Sample, and Degradation Modeling Methods introduces zero-sample learning methods that enable fault diagnosis and Predict Remaining Useful Life (RUL) without the need for labelled fault data. This is particularly valuable in industrial settings where labelled data is scarce or unavailable. Offers step-by-step guidance on implementing zero-shot learning models using real industrial data, reducing the learning curve for practitioners; includes real-world industrial case studies to demonstrate the application of zero-sample learning techniques in various industries, such as manufacturing, energy, and transportation. Such case studies provide readers with actionable insights and practical solutions. The book covers advanced methodologies for predicting the remaining useful life of industrial equipment, supporting readers in optimizing maintenance schedules, reducing downtime and extending the lifespan of critical assets. Covers state-of-the-art algorithms, including deep learning, transfer learning and domain adaptation, tailored for zero-sample scenarios. These tools empower readers to develop robust fault diagnosis and RUL prediction systems, enhancing predictive maintenance capabilities and ensuring the reliability of industrial systems.

  • Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids

    • 1st Edition
    • Guozheng Kang + 4 more
    • English
    Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book’s focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.

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