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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.

  • Fused Filament Fabrication 3D Printing

    Processes and Applications
    • 1st Edition
    • Rezgar Hasanzadeh
    • English
    Fused Filament Fabrication 3D Printing: Processes and Applications overviews fused filament fabrication additive manufacturing, highlighting the advantages, limitations, and unique strengths of this 3D printing method. Key process parameters essential for effective slicing and printing of 3D objects are covered, including methods for optimizing these parameters, particularly when working with composite filaments. The mechanical properties of printed parts, with an emphasis on tensile and impact strength performance are discussed, as are design considerations, strategies to mitigate the key limitations of the technique, and analysis of how various FFF process parameters affect the mechanical and morphological properties of the printed parts.Case studies and applications are also included, highlighting the use of FFF technology in biomedicine and tissue engineering, shape memory polymers, acoustic insulation, and auxetic structures with tailored mechanical responses.

  • Diagnostic Imaging Systems

    • 1st Edition
    • Ayman S. El-Baz + 1 more
    • English
    Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature.The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions.To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics.Volume 3 provides a comprehensive review of diagnostic imaging systems and technologies, including brain tumor characterization and classification techniques, tumor segmentation using AI and deep neural networks, dynamic brain imaging analysis, and functional brain imaging. The authors discuss existing challenges in the domain of diagnostic imaging systems and suggest possible research directions.

  • Learning-based Soft Sensing and Predictions for Process Industries

    Theory, Methodology and Applications
    • 1st Edition
    • Hamid Reza Karimi + 1 more
    • English
    Learning-Based Predictions and Soft Sensing 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...

  • Ground Penetrating Radar

    Theory and Practice
    • 2nd Edition
    • Erica Carrick Utsi
    • English
    Ground Penetrating Radar: Theory and Practice, Second Edition provides well-thought-out, fully updated, and expanded coverage of this NDT, trenchless technique for investigating the subsurface. Written by a recognized field specialist, the volume clearly explains not only how the technology works with introductions to the underlying physics and formation of signal patterning, but also spotlights how it can be successfully applied, including experiential insights into how parameters such as wavelength, attenuation (loss), environment, target size, and depth need proper consideration in any sampling strategy to obtain good survey results.Additional chapters explore a variety of methods for velocity calibration and suggest where they may be useful, review data processing, and address signal loss in challenging soil conditions and potential problem environments with a suite of useful resolution best practices. New to this edition are discussions on specialist GPR applications and state-of-the-art innovations (e.g., data digitization tools; machine learning, deep learning, artificial intelligence to improve detection and reliability in data interpretation; and robotization).

  • Fluid Dynamics with the Lattice Boltzmann Method

    • 1st Edition
    • Ilya Karlin + 1 more
    • English
    Originating from the lattice Gas Automaton, LBM has reshaped the field with its straightforward approach and high efficacy. Despite its widespread use, navigating the scattered literature can be daunting for newcomers. Fluid Dynamics with the Lattice Boltzmann Method presents a clear path from novice to expert. This comprehensive guide bridges gaps in understanding, covering essential principles and exploring advanced topics like compressible flows and combustion. Authored by experts, this book consolidates diverse models and recent advancements, ensuring you're equipped to navigate the latest developments in computational fluid dynamics. Whether you're just starting out or aiming to stay ahead of the curve, this book is your essential companion in mastering LBM.

  • 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.

  • Brain Pathologies and Disorders

    • 1st Edition
    • Ayman S. El-Baz + 1 more
    • English
    Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature.The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions.To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics.Volume 4 provides a comprehensive review of brain pathologies and disorders, including Parkinson’s Disease, Alzheimer’s Disease, Attention-Deficit/Hy... Disorder, and Tourette’s Syndrome. The authors discuss existing challenges in the domain of diagnosis, detection, analysis, treatment modalities, as well as possible research directions.

  • Smart Manufacturing 5.0

    Sustainability, Human-Centricity and Resilience
    • 1st Edition
    • Daniel Alejandro Rossit + 1 more
    • English
    Smart Manufacturing 5.0: Sustainability, Human-Centricity and Resilience offers essential insights into sustainable engineering and industrial innovation trends. The fourth industrial revolution, or Smart Manufacturing, integrates digital technologies with production and management systems, enabling real-time data access and improved decision-making. This integration enhances agility, flexibility and control, potentially achieving zero-defect manufacturing. However, the heavy reliance on technology and real-time data processing can challenge human interaction. As humans cannot process vast data in real-time, there is a need for better approaches to facilitate effective human-technology interaction.

  • Digital Technologies in Metal Casting

    Data Analytics, Simulation, Industry 4.0, and Artificial Intelligence
    • 1st Edition
    • Amit Sata + 2 more
    • English
    Digital Technologies in Metal Casting: Data Analytics, Simulation, Industry 4.0, and Artificial Intelligence focuses on integrating cutting-edge technology with metal casting, outlining ways in which simulation methods, data analytics, artificial intelligence, and other interactive and immersive technologies can be leveraged to improve the casting process. The book starts with overviews of both metal casting and the technologies to be integrated, before moving into chapters discussing the specific integration of those technologies into the metal casting process. The utilization of simulation, data analytics, artificial intelligence, cyber manufacturing, and more are highlighted, with each chapter covering specific use cases, commonly encountered challenges, and solutions for overcoming those challenges.

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