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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.

BooksJournals

    • 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.

    • 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 offers a comprehensive exploration of modern industrial production. Opening with a discussion on the importance of abstraction levels and the necessity of balancing trade-offs, the book challenges readers to analyze manufacturing processes from multiple perspectives. By examining what is theoretically possible under physical laws, what can be achieved with current industrial methods, and what is feasible for specific suppliers, the text equips engineers and designers with practical insights. This approach enables readers to optimize design choices and production strategies in real-world manufacturing settings.Beyond its foundational framework, the book covers a wide range of manufacturing processes, including metal forging, extrusion, casting, plastic injection molding, thermoforming, additive manufacturing, joining, and recycling. It emphasizes the critical role of understanding supplier capabilities when seeking optimal production solutions. The material encourages readers to develop not only producible designs but also deeper partnerships with suppliers.

    • 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.

    • 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.

    • Industrial Fault Diagnosis and Remaining Useful Life Prediction

      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 Solid Deformation, Fatigue and Fracture

      • 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.

    • 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 addresses the critical challenges in high-speed railway (HSR) operational control systems, focusing on enhancing safety, efficiency, and automation in an era of rapid network expansion. Railway systems face limitations in automatic driving capabilities and decentralized control, relying heavily on manual adjustments and outdated communication infrastructure like GSM-R (limited to 9.6 kbit/s speeds and 400 ms delays). Network-Constrained Data-Driven Control of High-Speed Rail Systems 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

    • The Control of Multiple Unmanned Aerial Vehicles

      Synthesis, Functionalization to Applications
      • 1st Edition
      • Mingyang Xie + 2 more
      • English
      The Control of Multiple Unmanned Aerial Vehicles provides readers with a unified framework to address the challenges of multi-UAV target encirclement tracking control. This is achieved by comprehensively integrating the concepts of dynamic modelling, state and disturbance estimation, guidance law design, distributed control, obstacle avoidance and reinforcement learning-based formation tracking control with multi-UAV encirclement tracking systems. The book provides practical insight and solutions to the challenges of multi-UAV use, including limited sensing, communication constraint, wind disturbances and obstacle and collision avoidance, enabling readers to effectively apply the concepts to their work or research. Cutting-edge control techniques and advanced theories are explored, including robust distributed control, adaptive neural network approximation, reinforcement learning and multi-agent systems, presenting readers with state-of-the-art methodologies from which to develop practical applications of UAV formation. Each guidance and control method presented in the book is accompanied by a thorough comprehensive analysis to ensure that each is theoretically grounded. The book ensures transparency by providing open-access simulation codes, allowing readers to easily access and reproduce presented results.

    • 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.

    • Foundations of Mathematical Modeling and Analysis in Engineering

      • 1st Edition
      • A. Ted Watson
      • English
      Foundations of Mathematical Modeling and Analysis for Engineering is designed for first-year graduate and advanced undergraduate engineering students. The book explores linear system theory and demonstrates its application in developing analytical solutions to various equations, essential for describing physical systems through mathematical modeling. This foundation is crucial for learning and research in engineering and various scientific fields. It equips students with the mathematical tools needed to solve entire classes of linear algebraic, ordinary-, and partial-differential equations, while also teaching principles for formulating, organizing, and solving linear subsystems, all of which are vital components of both linear and nonlinear mathematical models.This knowledge prepares students for advanced studies in engineering, applied mathematics, and foundational sciences.

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