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Books in Engineering and technology

The Engineering and Technology portfolio includes comprehensive overviews of all major research and practical developments in aerospace and automotive engineering, civil and environmental engineering, mechanical and industrial engineering, materials engineering, electrical engineering, communications engineering, and more. In-depth coverage, innovative state-of-the-art approaches, and real-world case studies provide valuable, actionable insights for researchers, applied engineers and students. The content in Elsevier's Engineering and Technology books program addresses core issues in industry and society, such as sustainability, the circular economy, AI, and automation.

BooksJournals

  • Steels

    Structure, Properties, and Design
    • 5th Edition
    • H.K.D.H. Bhadeshia + 1 more
    • English
    Steels: Structure, Properties and Design is an essential text and reference, providing indispensable foundational content for researchers, metallurgists, and engineers in industry and academia. The book provides inspiring content for undergraduates, yet has a depth that makes it useful to researchers. Steels represent the most used metallic materials, possessing a wide range of structures and properties. By examining the properties of steels in conjunction with structure, the book provides a valuable description of the development and behavior of these materials- the very foundation of their widespread use. The new edition has been thoroughly revised and updated with 2 new chapters, expanded content throughout,and yet it retains its clear writing style, extensive bibliographies, and real-life examples. One of the new chapters deals with the additive manufacture of steels with a focus on structure and properties. The other has visionary applications of steel that lead to a dramatic reduction of the carbon dioxide burden, within a short period of time, and without compromising the quality of life that depends on steels.

  • Fractography in Failure Analysis of Polymers

    • 2nd Edition
    • Michael D. Hayes + 2 more
    • English
    Fractography in Failure Analysis of Polymers, Second Edition provides a practical guide to the science of fractography and its application in the failure analysis of plastic components. In addition to a brief background on the theory of fractography, the book's authors discuss the various fractographic tools and techniques used to identify key fracture characteristics. This second edition includes additional material related to polymer life prediction testing and analysis. Case studies have been expanded, including a wide range of polymer types, new technologies, applications, and failure modes, as well as best practice guidelines, thus enabling engineers to apply these lessons to their work.Detailed images and their appropriate context are presented for reference in failure investigations. This text is vital for engineers who must determine the root causes of failure when it occurs, helping them further study the ramifications of product liability claims, environmental concerns, and brand image. This is also a valuable resource for all plastics professionals, including manufacturers, product designers, and consultants, forensic investigators, as well as educators in materials science.

  • Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0

    • 1st Edition
    • Paolo Mercorelli + 3 more
    • English
    Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 studies and analyzes the role of algorithms in identifying and controlling such a system towards Industry 4.0, which is the digital transformation of manufacturing and related industries and value creation processes. This book focuses on the conception and implementation of intelligent algorithms. It will help readers who work on sensors, virtual sensors, actuators and virtual actuators embedded systems, network infrastructures, servers with computing and storage capacity, autonomous computing software, real-time data processing, and database graphical user interfaces wireless networking technologies. Cyber-Physical Systems are network components that coordinate physical actions with each other. These autonomous systems perceive their surroundings using virtual sensors and actively influence them via virtual actuators. Adaptable and continuously evolving, these systems free up skilled workers to perform complex tasks, avoiding productivity loss and re-work.

  • Digital Manufacturing

    Key Elements of a Digital Factory
    • 1st Edition
    • Chandrakant D. Patel + 1 more
    • English
    Digital Manufacturing: Key Elements of a Digital Factory explains the different devices and agents at the factory floor level that are driving the digital manufacturing revolution, including autonomous robots, process automation, artificial intelligence and cyber-physical systems. Individual chapters explore the fundamentals and benefits of major digital manufacturing tools including robotics, the industrial internet of things, digital twins, edge security, knowledge discovery, service-centric production, and related supply-chain strategies. Real-world case studies from industry are provided throughout to show how these work in practice. In addition to learning about individual technologies, readers will discover how they are integrating to drive the digital transformation of manufacturing ecosystem. Final sections present new business models working towards sustainable net zero operations and economy.

  • Machine Learning Applications in Industrial Solid Ash

    • 1st Edition
    • Chongchong Qi + 2 more
    • English
    Machine Learning Applications in Industrial Solid Ash begins with fundamentals in solid ash, covering the status of solid ash generation and management. The book moves on to foundational knowledge on ML in solid ash management, which provides a brief introduction of ML for solid ash applications. The reference then goes on to discuss ML approaches currently used to address problems in solid ash management and recycling, including solid ash generation, clustering analysis, origin identification, reactivity prediction, leaching potential modelling and metal recovery evaluation, etc. Finally, potential future trends and challenges in the field are discussed.Offering the ability to process large or complex datasets, machine learning (ML) holds huge potential to reshape the whole status for solid ash management and recycling. This book is the first published book about ML in solid ash management and recycling. It highlights fundamental knowledge and recent advances in this topic, offering readers new insight into how these tools can be utilized to enhance their own work.

  • Neuromorphic Photonic Devices and Applications

    • 1st Edition
    • Min Gu + 6 more
    • English
    Neuromorphic Photonic Devices and Applications synthesizes in one volume the most critical advances in photonic neuromorphic models, photonic material platforms, and accelerators for neuromorphic computing. It discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is provided followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. The book includes a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities, and future prospects facing the field. Neuromorphic Photonic Devices and Applications is suitable for researchers and practitioners in academia and R&D in the multi-disciplinary field of photonics.

  • Deep Learning for Medical Image Analysis

    • 2nd Edition
    • S. Kevin Zhou + 2 more
    • English
    Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.

  • Emerging Ferroelectric Materials and Devices

    • 1st Edition
    • Volume 114
    • English
    Semiconductors and Semimetals series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

  • Non-layered 2D Materials

    • 1st Edition
    • Volume 113
    • English
    Semiconductors and Semimetals series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

  • 5G/5G-Advanced

    The New Generation Wireless Access Technology
    • 3rd Edition
    • Erik Dahlman + 2 more
    • English
    5G Advanced: The Next Generation Wireless Access Technology, Third Edition follows the authors' highly celebrated books on 3G and 4G by providing a new level of insight into 5G NR. After an initial discussion of the background to 5G, including requirements, spectrum aspects and the standardization timeline, all technology features of the first phase of NR are described in detail. Included is a detailed description of the NR physical-layer structure and higher-layer protocols, RF and spectrum aspects and co-existence and interworking with LTE. This book provides a good understanding of NR and the different NR technology components, giving insight into why a certain solution was selected.

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