Skip to main content
Elsevier

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.

  • Additively Manufactured Engineering and Structural Materials with High Mechanical Performance

    • 1st Edition
    • Laichang Zhang + 1 more
    • English
    Additively Manufactured Engineering and Structural Materials with High Mechanical Performance presents state-of-the-art research advances and applications of high-performance materials and structures manufactured by different 3D printing methods. It covers the design, manufacturing, mechanical properties, post-processing, and applications of various engineering materials, including a broad array of metals and alloys, ceramics, polymers, and composites, examining their microstructures and what determines their optimal mechanical performance. Cutting-edge topics such as artificial intelligence-assiste... quality control, machine learning-assisted performance evaluation, and 4D printing are each discussed. Multi-material additive manufacturing, the thermomechanics of additive manufacturing, and metal powder recycling are also covered, and the book also provides insight into potential applications of these materials through illustrative case studies from the automotive, construction, and bioengineering industries.

  • Chassis Technology for Autonomous Electric Vehicles

    • 1st Edition
    • Jinyue Tian
    • English
    The automotive industry is undergoing a transformation and an upgrade towards electrification, intelligence, and digitization. Focusing on the indispensable aspect of automobiles, the "electric vehicle chassis" has become the integrated carrier of the transformation towards electrification and intelligence, and the foundation for the implementation of autonomous driving in automobiles. The chassis of autonomous electric vehicles is defined as an integrated system that uses computer, control, communication, and various automation technologies to improve the safety and operational efficiency of road traffic, reduce energy consumption, and minimize environmental impact. Electric Chassis Technology for Autonomous Vehicles provides an up-to-date review of current development and likely future trends.

  • Sustainable Plant-Based Natural Fibres in Textiles

    • 1st Edition
    • Sheraz Ahmad + 3 more
    • English
    Sustainable Plant‑based Natural Fibres in Textiles provides a focused and up‑to‑date overview of renewable, biodegradable fibre alternatives and their increasing importance in modern textile science and manufacturing. Addressing the growing demand for environmentally responsible materials, the book explores plant‑based natural fibres in terms of their structure, properties, processing methods, and performance, offering readers a clear understanding of their potential as sustainable textile solutions.Through applied examples and discussion of implementation strategies, it supports individuals, professionals, researchers, students and industry practitioners in evaluating and adopting plant‑based fibres as part of a broader transition toward more sustainable textile systems.

  • Learning-Based Soft Sensing and Predictions for Process Industries

    Theory, Methodology, and Applications
    • 1st Edition
    • Hamid Reza Karimi + 1 more
    • English
    Learning-Based Soft Sensing and Predictions for Process Industries: Theory, Methodology and Applications covers prediction and soft sensing in industrial processes that are subject to specific challenges with AI-empowered learning algorithms. With the aid of a data-driven modeling strategy, the book explores the problems of industrial prediction and soft sensing and formulates a series of learning-based theory, methodologies, and applications. The book introduces the basics of prediction and soft sensing backgrounds, including different categories of prediction theory. Secondly, covers the foundations of machine learning methodologies, including supervised learning prediction, semi-supervised, and self-supervised prediction. Finally, the book examines novel learning-based models/architectures...

  • Deformation and Safety Control of Deep Excavation Engineering in Soft Soils

    • 1st Edition
    • Gang Zheng
    • English
    Deformation and Safety Control of Deep Excavation Engineering in Soft Soils provides a comprehensive overview of the challenges and solutions in deep excavation engineering within soft soil environments. The book covers deformation mechanisms, advanced control techniques, and sustainable excavation strategies. Readers gain insights into both theoretical frameworks and practical applications, including passive and active control methods, monitoring technologies, and case studies of projects. The book is designed to serve as a reference for both researchers and engineers looking to enhance safety and performance in deep excavation projects.

  • Humanizing Artificial Touch

    Skin, Sensing, and Structures
    • 1st Edition
    • John-John Cabibihan
    • English
    Humanizing Artificial Touch: Skin, Sensing, and Structures contains recent advances in artificial skin modelling and robotic tactile sensing technologies, integrating these in the structure of an artificial hand mimicking its important features. This book will give special treatment to the relationship between the artificial skin material and embedded tactile sensors, describing how artificial skin and embedded sensors can be designed and constructed using 3D printing technologies with case examples on how these were created for amputees achieve a more a natural and rich human-robot tactile interaction.This book is oriented towards students, researchers, and clinical practitioners who are working in the design and construction of artificial hands for prosthetics and social robotics.

  • Deformation Processing of High Entropy Alloys

    • 1st Edition
    • Bharat Gwalani + 1 more
    • English
    Deformation Processing of High Entropy Alloys offers an in-depth exploration of the mechanical properties and processing methods of high entropy alloys (HEAs), covering topics such as microstructural evolution, deformation mechanisms, alloy composition, processing techniques, and various applications. The book provides an introduction to HEAs, outlining their differences from more traditional alloys before diving into more complex subjects such as their stability and metastability, their crystal structures, FCC- and BCC-based HEAs, as well as thermomechanical treatments and their mechanical properties. Deformation processing techniques, solid state processing methods, and additive manufacturing of HEAs are each discussed as well, as are modeling and simulation approaches. Finally, a broad range of applications and limitations for these cutting-edge materials are also covered.

  • Causal Machine Learning in Civil and Environmental Engineering

    Case Studies and Datasets
    • 1st Edition
    • M. Z. Naser
    • English
    Machine learning (ML) is in constant transformation and various engineering disciplines are now heavily investing in it too. Currently, the majority of civil- and environmental-based works on ML are utilizing pure data-driven (i.e., black box) models built on correlations and associations. These models, however, do not truly identify the cause-effect relationship needed to answer questions such as: what caused a given structure to fail? Why does a particular construction material behave the way it does under specific conditions?Causal Machine Learning in Civil and Environmental Engineering: Case Studies and Datasets aims to introduce causal ML approaches to civil and environmental engineering, covering theories, applications, as well as providing datasets, code, and examples of solutions to key problems in the sector. Students, academics, and engineering professionals both in the private and public sectors will find this book to be an invaluable reference source.

  • Physical Principles of Imaging in Medicine

    • 1st Edition
    • Adam W. Anderson + 3 more
    • English
    Medical Imaging: Mathematical and Physical Principles gives an introduction to the mathematical and physical concepts and principles that underlie modern radiological imaging techniques. It explains the basic phenomena and mathematical concepts that are central to the use of physical methods for image formation in biomedicine. By focusing on the physical and mathematical principles, it provides knowledge that will continue to hold true even as technological and other advances change the nature and detail of future medical imaging applications.Written as a pedagogic textbook explaining the principles rather than a technical manual describing imaging methods, Medical Imaging: Mathematical and Physical Principles is very suitable as a foundational reference for senior undergraduates, graduate students and researchers with a background in either biomedical engineering, engineering, applied physics, computer science, and mathematics. It will be a well-thumbed resource throughout a researcher’s career.

  • AI and Blockchain for Wireless Communications

    Creating Resilient and Secure Systems
    • 1st Edition
    • Ferheen Ayaz + 1 more
    • English
    AI and Blockchain for Wireless Communications: Creating Resilient and Secure Systems describes the merger of AI and blockchain for the smooth functioning of secure wireless communications. The book covers both sides of blockchain and AI integration – blockchain for assisting AI, such as solutions involving distributed learning and trustworthy AI, and AI solutions designed to support blockchain, such as solutions embedded in smart contracts for automation and authentication. The methods and techniques presented in the book are also supported by use cases that show the practical implementation of AI and blockchain based wireless communication systems. It is suitable for students, researchers, and industry engineers in AI, blockchain, and wireless communications, and will help AI developers grasp concepts and see the benefits of blockchain integrated with AI—particularly in wireless communications—thus setting the groundwork for their future development.

Related subjects