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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.

  • Metal Plasticity

    Experimental Characterization and Constitutive Modeling
    • 1st Edition
    • Yanshan Lou
    • English
    Metal Plasticity: Experimental Characterization and Constitutive Modeling outlines the fundamentals of plastic deformation of metals, related constitutive modeling techniques, and how best to apply these modeling techniques. The book summarizes the plastic behaviors of metals based on experimental observations while also reviewing related constitutive models used to determine their plastic deformation, including isotropic yield functions, anisotropic yield functions, asymmetric yield functions, anisotropic hardening yield functions, and more. It demonstrates the yield surfaces of functions under 2D plane stress, 3D plane stress with shear stress effect, and 3D triaxial loading, amongst others. The development of different plasticity models, including their form, parameters, calibration, accuracy, advantages, and disadvantages are outlined as well, and the book also summarizes and compares various models, emphasizing their costs and user-friendliness, thus allowing readers to select the model that best meets their needs.

  • 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.

  • 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).

  • Rammed Earth Construction and the Use of Additives

    Technologies, Classification, and Applications
    • 1st Edition
    • Hamed Niroumand + 1 more
    • English
    Rammed Earth Construction and the Use of Additives: Technologies, Classification, and Applications reports on earth buildings as viable solution to meet requirements for modern-day, green construction. Opening with a combination of foundational aspects and a discussion on state-of-the-art technologies that enhance the rammed earth technique, the book then investigates the admixtures that can be used to improve raw materials’ durability, strength, and thermal performance. Coverage thoroughly delves into different types of additives, clarifying the origin of those naturally sourced, the manufacturing processes of those manmade, and their specific effects, with a focus on methods for stabilization, reinforcement, and preservation of structures.Real-worl... case studies are also included, bringing practical value-add to an already scientifically robust research resource. This will be an essential guide for a variety of audiences in academic and industry contexts who are committed to finding new ways of thinking and working to fulfill pressing sustainability goals worldwide.

  • 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.

  • 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.

  • 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...

  • 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 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.

  • 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.

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