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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.

  • Nanostructured Nonlinear Optical Materials

    Formation and Characterization
    • 1st Edition
    • Rashid A. Ganeev
    • English
    Nanostructured Nonlinear Optical Materials: Formation and Fabrication covers the analysis of the formation, characterization and optical nonlinearities of various nanostructures using different methods. It addresses many areas of research in the field, including the modification of the surfaces of materials for the formation of various nanostructures, transmission electron microscopy and time-of-flight mass spectroscopy studies of ablated bulk and nanoparticle targets, the low-order nonlinearities of metal and semiconductor nanoparticles, the nonlinear refraction and nonlinear absorption of carbon-contained nanoparticles, and low- and high-order harmonic generation in nanoparticle-contain... plasmas, amongst other topics. The book is an essential reference for all nanomaterials researchers in the fields of photonics, materials, physics, chemistry and nanotechnology.

  • Optical Thin Films and Coatings

    From Materials to Applications
    • 2nd Edition
    • Angela Piegari + 1 more
    • English
    Optical Thin Films and Coatings: From Materials to Applications, Second Edition, provides an overview of thin film materials and their properties, design and manufacture across a wide variety of application areas. Sections explore their design and manufacture and their unconventional features, including the scattering properties of random structures in thin films, optical properties at short wavelengths, thermal properties and color effects. Other chapters focus on novel materials, including organic optical coatings, surface multiplasmonics, optical thin films containing quantum dots, and optical coatings, including laser components, solar cells, displays and lighting, and architectural and automotive glass. The book presents a technical resource for researchers and engineers working with optical thin films and coatings. It is also ideal for professionals in the security, automotive, space and other industries who need an understanding of the topic.

  • Hybrid Machining

    Theory, Methods, and Case Studies
    • 1st Edition
    • Xichun Luo + 1 more
    • English
    Hybrid Machining: Theory, Methods, and Case Studies covers the scientific fundamentals, techniques, applications and real-world descriptions of emerging hybrid machining technology. This field is advancing rapidly in industrial and academic contexts, creating a great need for the fundamental and technical guidance that this book provides. The book includes discussions of basic concepts, process design principles, standard hybrid machining processes, multi-scale modeling approaches, design, on-machine metrology and work handling systems. Readers interested in manufacturing systems, product design or machining technology will find this one-stop guide to hybrid machining the ideal reference.

  • Multiphysics Modeling

    Materials, Components, and Systems
    • 1st Edition
    • Murat Peksen
    • English
    Multiphysics Modelling: Materials, Components, and Systems focuses on situations where coupled phenomena involving a combination of thermal, fluid, and solid mechanics occur. Important fundamentals of the various physics that are required in multiphysics modelling are introduced and supported with practical problems. More advanced topics such as creep deformation, fatigue and fracture, multiphase flow or melting in porous media are tackled. 3D interactions in system architectures and energy systems such as batteries, reformer or fuel cells, and modelling of high-performance materials are exemplified. Important multiphysics modelling issues are highlighted. In addition to theory, solutions to problems, such as in linear and non-linear situations are addressed, as well as specific solutions for multiphysics modelling of fluid-solid, solid-solid and fluid-fluid interactions are given. Drawing on teaching experience, industry solutions, and the latest research, this book is the most complete guide to multiphysics modelling available for students and researchers in diverse science and engineering disciplines.

  • Advances in Imaging and Electron Physics

    • 1st Edition
    • Volume 206
    • English
    Advances in Imaging and Electron Physics, Volume 206, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.

  • Drag Reduction of Complex Mixtures

    • 1st Edition
    • Keizo Watanabe
    • English
    Drag Reduction of Complex Mixtures discusses the concept of drag reduction phenomena in complex mixtures in internal and external flows that are shown experimentally by dividing flow patterns into three categories. The book is intended to support further experiments or analysis in drag reduction. As accurately modeling flow behavior with drag reduction is always complex, and since drag reducing additives or solid particles are mixed in fluids, this book covers these complex phenomena in a concise, but comprehensive manner.

  • Estimation and Control of Large-Scale Networked Systems

    • 1st Edition
    • Tong Zhou + 2 more
    • English
    Estimation and Control of Large Scale Networked Systems is the first book that systematically summarizes results on large-scale networked systems. In addition, the book also summarizes the most recent results on structure identification of a networked system, attack identification and prevention. Readers will find the necessary mathematical knowledge for studying large-scale networked systems, as well as a systematic description of the current status of this field, the features of these systems, difficulties in dealing with state estimation and controller design, and major achievements. Numerical examples in chapters provide strong application backgrounds and/or are abstracted from actual engineering problems, such as gene regulation networks and electricity power systems. This book is an ideal resource for researchers in the field of systems and control engineering.

  • Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

    • 1st Edition
    • Jing Na + 2 more
    • English
    Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering.

  • Mathematical Techniques of Fractional Order Systems

    • 1st Edition
    • Ahmad Taher Azar + 2 more
    • English
    Mathematical Techniques of Fractional Order Systems illustrates advances in linear and nonlinear fractional-order systems relating to many interdisciplinary applications, including biomedical, control, circuits, electromagnetics and security. The book covers the mathematical background and literature survey of fractional-order calculus and generalized fractional-order circuit theorems from different perspectives in design, analysis and realizations, nonlinear fractional-order circuits and systems, the fractional-order memristive circuits and systems in design, analysis, emulators, simulation and experimental results. It is primarily meant for researchers from academia and industry, and for those working in areas such as control engineering, electrical engineering, computer science and information technology. This book is ideal for researchers working in the area of both continuous-time and discrete-time dynamics and chaotic systems.

  • Adaptive Learning Methods for Nonlinear System Modeling

    • 1st Edition
    • Danilo Comminiello + 1 more
    • English
    Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems.

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