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.

Covers heat transfer techniques in utilization of base fluids application of phase change materials (PCMs) Describes preparation and characterization of nanofluids and nano based PCMs Explains how nanoscience can be utilized in heat transfer studies Reviews conventional heat transfer fluids

Theory of Elasticity provides a modern and integrated treatment of the foundations of solid mechanics as applied to the mathematical description of material behavior primarily to serve the needs of undergraduate, postgraduate and research students of Civil, Mechanical and Aeronautical engineering. Basic concepts, definitions, theory as well as related practical applications are discussed in a logical and concise manner. The book includes a pedagogical features such as worked examples and problems to consolidate the readers' understanding of fundamental principles and illustrates their applications in many practical situations. An important feature of this book lies in the use of linear theory of elasticity to obtain solutions to some of the specialized problems related to soil mechanics and foundation engineering in particular.

This book provides an introduction to the Human Centred Design of autonomous vehicles for professionals and students. While rapid progress is being made in the field of autonomous road vehicles the majority of actions and the research address the technical challenges, with little attention to the physical, perceptual, cognitive and emotional needs of humans. This book fills a gap in the knowledge by providing an easily understandable introduction to the needs and desires of people in relation to autonomous vehicles. The book is "human centred design" led, adding an important human perspective to the primarily technology-driven debates about autonomous vehicles. It combines knowledge from fields ranging from linguistics to electrical engineering to provide a holistic, multidisciplinary overview of the issues affecting the interactions between autonomous vehicles and people. It emphasises the constraints and requirements that a human centred perspective necessitates, giving balanced information about the potential conflicts between technical and human factors. The book provides a helpful introduction to the field of design ethics, to enhance the reader's awareness and understanding of the multiple ethical issues involved in autonomous vehicle design. Written as an accessible guide for design practitioners and students, this will be a key read for those interested in the psychological, sociological and ethical factors involved in automotive design, human centred design, industrial design and technology.

The art of applying mathematics to real-world dynamical problems such as structural dynamics, fluid dynamics, wave dynamics, robot dynamics, etc. can be extremely challenging. Various aspects of mathematical modelling that may include deterministic or uncertain (fuzzy, interval, or stochastic) scenarios, along with integer or fractional order, are vital to understanding these dynamical systems. Mathematical Methods in Dynamical Systems offers problem-solving techniques and includes different analytical, semi-analytical, numerical, and machine intelligence methods for finding exact and/or approximate solutions of governing equations arising in dynamical systems. It provides a singular source of computationally efficient methods to investigate these systems and includes coverage of various industrial applications in a simple yet comprehensive way.

Current environmental and energy concerns have led to lignin gaining increased attention in the last decade as a renewable biomass. Due to its structural and functional properties, such as antimicrobial behaviour, biodegradability, biocompatibility and ease of surface modifications, lignin-based materials have gained popularity in the biomedical field with applications ranging from tissue engineering scaffolds and wound dressing materials to drug delivery carriers. Using this book, the reader will learn about the chemistry of lignin, and the characterization, fabrication and properties of lignin-based composites with different matrices (thermosets, thermoplastics, elastomers etc.). In addition, the book illustrates how these materials are used in medical applications, covering drug delivery, wound dressing, tissue engineering, imaging, etc. Providing a neat overview of the current research for the biomaterials science community, this book is a one-stop resource for researchers and practitioners working on lignin-based biomaterials. For those active in the broader fields of materials science and biomedical engineering, this will be a useful reference and study aid.

Human Inspired Dexterity in Robotic Manipulation provides up-to-date research and information on how to imitate humans and realize robotic manipulation. Approaches from both software and hardware viewpoints are shown, with sections discussing, and highlighting, case studies that demonstrate how human manipulation techniques or skills can be transferred to robotic manipulation. From the hardware viewpoint, the book discusses important human hand structures that are key for robotic hand design and how they should be embedded for dexterous manipulation. This book is ideal for the research communities in robotics, mechatronics and automation.

Mechanics of Carbon Nanotubes: Fundamentals, Modeling and Safety draws on the latest academic research and nanotechnology applications to provide a comprehensive guide on the most recent developments in the science of carbon nanotubes. The fundamentals of nanomechanics and mechanical behavior of carbon nanotubes are presented in initial chapters, followed by more advanced topics such as the classification of carbon nanotubes, carbon nanotubes in nanocomposites, multiwall carbon nanotubes, and recent trends. This book provides a system for the classification of carbon nanotubes into 20 classes, aiding correct selection for various applications, and includes the Atomic Registry Matrix Analysis for nanoscale interfaces, essential for design involving friction or sliding. Parametric maps are included to help readers pick the correct model for a particular CNT geometry, in addition to a thorough examination of the effective thickness paradox and safety issues related to CNTs, such as toxicity at high aspect ratio. Mechanics of Carbon Nanotubes is essential reading for anyone involved in research or engineering that includes carbon nanotubes, be they students or seasoned professionals in the field. It is particularly useful to those working with applications in the areas of microelectronics, robotics, aerospace, composites, or prosthetics.

1) Includes exemplary MATLAB codes 2) Provides a comprehensive foundation in Fourier methods, essential for a mathematical approach to engineering 3) Applies MFS to hot topics in the field: multi-domain, multi- physics, and multi-scale characteristics 4) Applies Fourier method to structural vibrations, acoustics and vibro-acoustic 5) Aids engineers in solving boundary value problems and differential equations

Hydrogels are highly hydrated three dimensional networks with the ability to mimic the extracellular matrix of bodily tissues and have thus found application in a wide range of biomedical applications. Unique physiochemical properties such as biocompatibility, water permeability, stimuli responsiveness and self-healing characteristics make them especially useful for use as scaffolds and matrices drug delivery, tissue engineering/regeneration and sensing. Their weak and brittle nature, however, often limits their widespread application where improved mechanical strength is required. To resolve this problem, there has been a significant amount of research into the improvement of their mechanical properties. Among these efforts, versatile multicomponent hydrogels have received much attention as their physiochemical properties can be structurally engineered to provide a wide range of desired properties. These multicomponent formulations also allow for the combination of natural and synthetic polymers, which offers the scope to exploit the advantages of each component, with the synergistic effects resulting from mutual interactions. This book critically discusses the fundamental chemistry, synthesis, characterisation, physiochemical and biological properties of various types of multicomponent hydrogels. It reviews the different strategies employed in designing and synthesizing cutting-edge multicomponent hydrogels and their key applications in biomedical fields. The work is suitable for researchers working in the specific area of multicomponent hydrogels, and also more generally for those working in materials science, biomedical engineering, biomaterials science and tissue engineering.

Basic Compounds for Superalloys: Mechanical Properties explores the mechanical properties of the iron group based intermetallic compounds that are the basis of super-alloys. Chapters explore tensile tests and compressive stress and hardness and provide detailed considerations that are devoted to time dependent deformation, namely creep and cyclic deformation. In addition, a discussion of the nano-crystalline L12 and B2 structures and their mechanical properties is included. Fracture and failure of these materials in both macro and nano-iron based compounds is also considered. This book is ideal for engineers, scientists and technical personnel who work in materials engineering, materials science, and mechanical and chemical engineering.

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.

Frontiers in Civil and Hydraulic Engineering focuses on the research of architecture and hydraulic engineering in civil engineering. The proceedings feature the most cutting-edge research directions and achievements related to civil and hydraulic engineering. Subjects in the proceedings including: * Engineering Structure * Intelligent Building * Structural Seismic Resistance * Monitoring and Testing * Hydraulic Engineering * Engineering Facility The works of this proceedings can promote development of civil and hydraulic engineering, resource sharing, flexibility and high efficiency. Thereby, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.

Describes the physical processes leading to the Kelvin-Helmholtz instability as a primary cause of clear air turbulence (CAT). Provides a thorough description of the several factors that increase the CAT probability. Covers in a comprehensive manner all the topics ranging from the discovery of CAT during World War II to modern techniques to observe and predict conditions conducive to CAT formation. Touches on the great variety of proposed CAT detection methods along with their performance and limitations. Suitable for a wide range of readers in physics, geo-engineering, meteorology, aerodynamics as well as in mechanical, aeronautical and manufacturing engineering interested in the phenomenon of CAT, its detection and its effect on aviation hazard.

Describes the quality management underpinnings of SMS, the four components, risk management, reliability engineering, SMS implementation, and the scientific rigor that must be designed into proactive safety. Covers international requirements and implications for harmonization across international boundaries. Offers an expanded treatment of safety culture. Discusses the integration of accident investigation and SMS. Presents an expanded discussion of Probabilistic Risk Assessment and Monte Carlo methods.

This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

This book covers the entire spectrum of green diesel and their applications in existing CI engines. This book discusses how a green diesel is a better fuel than biodiesel and petrodiesel and more suitable fuels for sustainable future development. The book begins with a concise overview of the fundamentals of the green diesel properties, preparation, and characterization of green diesel using hydroprocessing technology. The book covers recent developments in the domain of green diesel derived particularly from the second-/third-generation feedstocks. Various topics covered in this book include the catalysts involved in the processing of green diesel, characterization of the products as per ASTM/EN protocols. In addition, the book also illustrates characteristic features of green diesel and how it is different from biodiesel and petrodiesel. Other chapters cover performance and emission characteristics of green diesel in CI engines and techno-economic analysis. Moreover, the current status of green diesel industries is also incorporated. This book is of particular interest to graduate students and academic or industrial researchers/professionals working in the area of green diesel/green energy, bioenergy and mechanical, automobile, and chemical engineering. This book makes a forceful foundation for the establishment of green diesel refineries/biorefineries for a sustainable, cleaner, and greener future.

This 1940 operation manual for the 1940 Autocar Truck model U-2044 combines: Autocar Company information, including brances and officers; the car building record; instructions; parts list; service bulletins; and schematics.

This book presents mainly experimental studies on the mechanical behavior and damage fracture mechanism of deep rocks including sandstone, marble, mudstone and granite, combining with several advanced technologies of X-ray micro-CT and AE monitoring. It has several unique features: 1) Investigates the influence of loading path on triaxial strength and deformation behavior of sandstone and marble; 2) Analyzes the effect of borehole size on triaxial strength and deformation behavior of hollow sandstone; 3) Explores the influence of high temperature on triaxial deformation and permeability behavior of sandstone and granite; 4) to reveal the damage fracture mechanism of deep rocks using spatial AE techniques and X-ray micro CT observations. This work will appeal to a wide readership from technicians in the field of geotechnical engineering and engineering geology to scholars carrying out research in the rock mechanics.

Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB (R) and Simulink (R). This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino (R). The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB (R) and Simulink (R) codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com.

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.

This textbook and reference fills a critical gap in literature on the comprehensive environmental impacts of industrial organizations. Nineteen chapters examine individual industrial sectors inherent "potential to pollute." The text goes on to analyze new technologies and practices for transforming environmentally degrading effects of industry, and shows how managers can navigate these changes and move their organizations towards long-term environmental sustainability.

Completely revised including six new chapters, this new edition presents a more comprehensive knowledge of issues facing developers of complex products and process management. It includes more tools for implementing a Systems Engineering approach to minimize the risks of delays and cost overruns and helps create the right product for its customers. Designing Complex Products with Systems Engineering Processes and Techniques, Second Edition highlights how to increase customer satisfaction, quality, safety, and usability to meet program timings and budgets using a Systems Engineering approach. It provides decision-making considerations and models for creating sustainable product design and describes many techniques and tools used in product development and the product life-cycle orientation. The book also offers techniques used in Design for Manufacturing, Design for Assembly, and product evaluation methods for verification and validation testing. Many new examples, case studies, six new chapters, and updated program and data charts held on our website are offered. The book targets practicing engineers, engineering management personnel, product designers, product planners, product and program managers in all industrialized and developing countries. In addition the book is also useful to undergraduate, graduate students, and faculty in engineering, product design, and product project and program management.

1. This book gives the reader a comprehensive and in-depth introduction to the variable gain control and details a series of related innovative technologies. Instead of reading various relevant books, this book enables readers to establish an overall understanding of variable gain control methods for different systems. 2. The goal of this book is to interpret complex control knowledge in simple terms. It is easy to understand and needs little background knowledge. 3. It highlights the practical applications of variable gain control in energy conversation. The designed variable gain control has a simple form and is convenient for engineering applications. 4. Discussion remarks are provided in each chapter with new contributions to emphasize the novelty of the presented design and analysis methods. Moreover, a number of interesting remaining problems in the related topics, which are worthy of further investigation, are discussed in this book. 5. Simulation results are given in each chapter, sometimes in a comparative manner, to show the effectiveness of these methods.