Vehicles are intrinsically linked to our lives. This book covers all technical details of the vehicle electrification process, with focus on power electronics. The main challenge in vehicle electrification consists of replacing the engine-based mechanical, pneumatic, or hydraulic ancillary energy sources with electrical energy processed through an electromagnetic device. The book illustrates this evolutionary process with numerous series-production examples for either of body or chassis systems, from old milestones to futuristic luxury vehicles. Electrification of ancillaries and electric propulsion eventually meet into an all-electric vehicle and both processes rely heavily on power electronics. Power electronics deals with electronic processing of electrical energy. This makes it a support technology for the automotive industry. All the automotive visions for the next decade (2020-2030) are built on top of power electronics and the automotive power electronics industry is expected at 15% compound annual growth rate, the highest among all automotive technologies. Hence, automotive power electronics industry is very appealing for recent and future graduates. The book structure follows the architecture of the electrical power system for a conventional engine-based vehicle, with a last chapter dedicated to an introduction onto electric propulsion. The first part of the book describes automotive technologies for generation and distribution of electrical power, as well as its usage within body systems, chassis systems, or lighting. The second part explores deeper into the specifics of each component of the vehicle electric power system. Since cars have been on the streets for over 100 years, each chapter starts with a list of historical achievements. Recognizing the engineering effort span over more than a century ennobles the R&D efforts of the new millennium. Focus on history of electricity in vehicle applications is another attractive treat of the book. The book fills a gap between books targeting practical education and works sharing advanced academic vision, offering students and academics a quick tour of the basic tools and long-standing infrastructure, and offering practicing engineers an introduction on newly introduced power electronics-based technologies. It is therefore recommended as a must-have book for students and early graduates in automotive power electronics activities.

This book provides the knowledge and insight into the fundamental aspects of Electric Discharge Machining (EDM) processes and various hybrid machining technologies derived to improve the machining efficiencies. Fundamental theory of material removal, recent research trends and future research directions have been covered in each chapter. After explaining EDM, Dry and Near-dry EDM processes, Electrochemical Spark Machining, Arc Machining processes, Electric Discharge Hybrid-Turning processes, Electrical Discharge Grinding, Electric Discharge Milling, and various assisted EDM processes have been discussed. Finally, modeling and simulation of hybrid machining processes are also included. The book reflects the recent developments and trends in electric discharge hybrid machining processes. It covers in detail the basics of EDM, various hybrid and assistive technologies in EDM. It includes the updated discussion on the significance of process parameters in various hybrid EDM processes. An overview of modelling and simulation of hybrid EDM process is provided. This book is aimed at Graduate students, researchers in manufacturing engineering, production engineering, and materials engineering.

This book provides a selection of contributions to the DIPSI workshop 2019 (Droplet Impact Phenomena & Spray Investigations) as well as recent progress of the Int. Research Training Group "DROPIT".The DIPSI workshop, which is now at its thirteenth edition, represents an important opportunity to share recent knowledge on droplets and sprays in a variety of research fields and industrial applications. The research training group "DROPIT" is focused on droplet interaction technologies where microscopic effects influence strongly macroscopic behavior. This requires the inclusion of interface kinetics and/or a detailed analysis of surface microstructures. Normally, complicated technical processes cover the underlying basic mechanisms, and therefore, progress in the overall process modelling can hardly be gained. Therefore, DROPIT focuses on the underlying basic processes. This is done by investigating different spatial and/or temporal scales of the problems and by linking them through a multi-scale approach. In addition, multi-physics are required to understand e.g. problems for droplet-wall interactions, where porous structures are involved.

This book presents simple design paradigms related to lightweight design, that are derived from an in-depth and theoretically sound analysis based on Pareto theory. It uses numerous examples, including torsion and inflated tubes, to fully explain the theories discussed. Lightweight Construction Principles begins by defining terms in relation to engineering design and optimal design of complex mechanical systems. It then discusses the analytical derivation of the Pareto-optimal set, before applying analytical formulae to optimal design of bent beams. The book moves through numerous case studies of different beam and tube construction including beams subject to bending, thin walled tubes under torsion and truss structures. This book will be of interest to researchers and graduate students in the field of structural optimisation and multi-objective optimization, as well as to practitioners such as design engineers.

This book provides an introduction to the unique and fascinating properties of alloys and composites from novel commercialized thermosetting resins based on polybenzoxazines. Their outstanding properties such as processability, thermal, mechanical, electrical properties as well as ballistic impact properties of polybenzoxazine alloys and composites make them attractive for various applications in electronic packaging encapsulation, light weight ballistic armour composites and bipolar plate in fuel cells.

This new volume explores the exciting and diverse applications of three-dimensional printing in a variety of industries, including food processing, environmental sciences, biotechnology, medical devices, energy storage, civil engineering, the textile and fashion industry, and more. It describes the various 3D printing methods, the commonly used materials, and the pros and cons. It also presents an overview of the historical development and modern-day trends in additive manufacturing, as well as an exploration of the prospects of 3D printing technology in promoting academic education.

1. Provides a clear taxonomy of design representations that designers can employ. 2. Contains pictorial examples of various representations. 3. Utilizes case studies of projects, examining their approach in terms of representation. 4. Uses simple, understandable terms and definitions to support understanding of representations. 5. Describes various media, methods and tools that are useful to design though representation.

Engineering design concerns us all. In new products we expect higher quality, better reliability, lower cost, improved safety and more respect for the environment. The Design Manager is responsible for fulfilling these disparate and often mutually contradictory expectations, guiding the design team while liaising with and drawing support from project managers, manufacturers, marketing staff, customers and users. Design Managers and their teams will find the revised and expanded second edition of Managing Engineering Design to be a practical book providing a framework of precepts for the management of engineering design projects. Features include: jargon-free language with well-tried, real-world examples;useful tips for managers at the end of each chapter;a comprehensive bibliography at the end of the book. Managing Engineering Design is for design managers in industry, general managers with responsibility for design projects, and those training to become technical or design managers. It is also highly informative for graduate and undergraduate engineering students and ideally suited for establishing a web-based design management system for geographically dispersed teams.

"This remarkable book, based on sound empirical research and design project experience, will be an enormous help to design managers and design engineers " "Professor Ken Wallace, University of Cambridge"

"The practical approach of Hales and Gooch particularly appealed to me they] manage to pull together a concise package of best practice in engineering management and successfully tie together the different activities that are often presented as unconnected. This is no minor feat and I lift my hat to them."

"Doctor Roope Takala, Program Manager, Nokia Group""

There currently exists an abundance of materials selection advice for designers suited to solving technical product requirements. In contrast, a stark gap can be found in current literature that articulates the very real personal, social, cultural and economic connections between materials and the design of the material world. "In Materials Experience: fundamentals of materials and design," thirty-four of the leading academicians and experts, alongside 8 professional designers, have come together for the first time to offer their expertise and insights on a number of topics common to materials and product design. The result is a very readable and varied panorama on the world of materials and product design as it currently stands.
Contributions by many of the most prominent materials experts and designers in the field today, with a foreword by Mike Ashby.The book is organized into4 main themes: sustainability, user interaction, technology and selection.

Between chapters, you willfind theresults of interviews conducted with internationally known designers. These designer perspectives will provide a time out from the academic articles, with emphasis placed on fascinating insights, product examples and visuals. "

The book investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control (ARC) for a class of Euler-Lagrange (EL) systems with minimal or no knowledge of the system dynamics parameters. The newly proposed TDC-based ARC tackles the commonly observed over- and under-estimation issues in switching gain. The consideration of EL systems lends a practical perspective on the proposed methods, and each chapter is supplemented by relevant experimental data. The book offers a unique resource for researchers in the areas of ARC and TDC alike, and covers the state of the art, new algorithms, and future directions.

This book addresses the problem of waste management by using multi-criteria decision-making (MCDM) methods. The authors discuss how to apply MCDM, a complex decision-making tool that involves both quantitative and qualitative factors, to develop strategies for effective waste management using various optimization models to rank alternatives, while also incorporating the concerns and needs of multiple stakeholders to find the most optimal decisions for various types of wastes. Typically, there does not exist a single optimal solution to waste problems; with help of MCDM, far better solutions can often be found and utilized to facilitate sustainable waste management techniques in various industries. This book provides unique, effective, and quick decision-making strategies for waste management. With the ever-increasing population and continuing human development, the problem of managing waste becomes increasingly essential, and this volume helps lead the way to finding sustainable solutions.

- Processes a sustainable by using Design Thinking - Takes an ethical approach into consideration in design projects - Provides Design for responsibility - Co-creates as an aspect of Design Thinking

Machine Learning and Models for Optimization in Cloud's main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features * Comprehensive introduction to cloud architecture and its service models. * Vulnerability and issues in cloud SAAS, PAAS and IAAS * Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models * Detailed study of optimization techniques, and fault management techniques in multi layered cloud. * Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. * Advanced study of algorithms using artificial intelligence for optimization in cloud * Method for power efficient virtual machine placement using neural network in cloud * Method for task scheduling using metaheuristic algorithms. * A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence.

How to design for optimum maintenance capabilities and minimize the repair time Design for Maintainability offers engineers a wide range of tools and techniques for incorporating maintainability into the design process for complex systems. With contributions from noted experts on the topic, the book explains how to design for optimum maintenance capabilities while simultaneously minimizing the time to repair equipment. The book contains a wealth of examples and the most up-to-date maintainability design practices that have proven to result in better system readiness, shorter downtimes, and substantial cost savings over the entire system life cycle, thereby, decreasing the Total Cost of Ownership. Design for Maintainability offers a wealth of design practices not covered in typical engineering books, thus allowing readers to think outside the box when developing maintainability design requirements. The book s principles and practices can help engineers to dramatically improve their ability to compete in global markets and gain widespread customer satisfaction. This important book: Offers a complete overview of maintainability engineering as a system engineering discipline Includes contributions from authors who are recognized leaders in the field Contains real-life design examples, both good and bad, from various industries Presents realistic illustrations of good maintainability design principles Provides discussion of the interrelationships between maintainability with other related disciplines Explores trending topics in technologies Written for design and logistics engineers and managers, Design for Maintainability is a comprehensive resource containing the most reliable and innovative techniques for improving maintainability when designing a system or product.

Evolvable Hardware (EHW) has emerged as a sub-domain of artificial evolution represented by a design methodology (consortium of methods) involving the application of Evolutionary Algorithms (EA) to the synthesis of digital and analogue electronic circuits and systems. Nevertheless, the most benefit for the society and indeed most revolutionizing application of EA is its hardware implementation leading to the EHW. These new EA based methodologies led to a new type of machines that is evolved to attain a desired behaviour, which means they have a behavioural computational intelligence. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The book presents a careful selection of the field that very well reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. The harmonious symbiosis of the engineering approach and the accurate scientific methodology features the aspects of highly relevant and practical design principles governing the development of EHW and its connections with AS/AH. This book is both attractive and useful for everybody interested in the design and analysis of EHW in context of AS/AH and implementation of real time adaptive hardware hybrid intelligent systems.

This book reports research and development that represent the state of the art in artificial intelligence in design, design cognition, design neurocognition, and design theories from the Tenth International Conference on Design Computing and Cognition held in Glasgow, UK, in 2022. The 48 chapters are grouped under the headings of natural language processing and design; design cognition; design neurocognition; learning and design; creative design and co-design; shape grammars; quantum computing; and human behavior. These contributions are of particular interest to design researchers and design educators, as well as to users of advanced computation and cognitive science. This book contains knowledge about the cognitive and neurocognitive behavior of designers, which is valuable to those who need to gain a better understanding of designing.

Old age is currently the greatest risk factor for developing dementia. Since older people make up a larger portion of the population than ever before, the resulting increase in the incidence of dementia presents a major challenge for society. Dementia is complex and multifaceted and impacts not only the person with the diagnosis but also those caring for them and society as a whole. Human-Computer Interaction (HCI) design and development are pivotal in enabling people with dementia to live well and be supported in the communities around them. HCI is increasingly addressing the need for inclusivity and accessibility in the design and development of new technologies, interfaces, systems, services, and tools. Using interdisciplinary approaches HCI engages with the complexities and 'messiness' of real-world design spaces to provide novel perspectives and new ways of addressing the challenge of dementia and multi-stakeholder needs. HCI and Design in the Context of Dementia brings together the work of international experts, designers and researchers working across disciplines. It provides methodologies, methods and frameworks, approaches to participatory engagement and case studies showing how technology can impact the lives of people living with dementia and those around them. It includes examples of how to conduct dementia research and design in-context in the field of HCI, ethically and effectively and how these issues transcend the design space of dementia to inform HCI design and technology development more broadly. The book is valuable for and aimed at designers, researchers, scholars and caregivers that work with vulnerable groups like people with dementia, and those directly impacted.

The papers in this volume are from the Ninth International Conference on Design Computing and Cognition (DCC'20) held virtually at the Georgia Institute of Technology, Atlanta, USA. They represent the state-of-the-art of research and development in design computing and design cognition including the increasingly active area of design cognitive neuroscience. They are of particular interest to design researchers, developers and users of advanced computation in designing as well as to design educators. This volume contains knowledge about the cognitive behavior of designers, which is valuable for those who need to gain a better understanding of designing.

This book considers all aspects of performability engineering, providing a holistic view of the activities associated with a product throughout its entire life cycle of the product, as well as the cost of minimizing the environmental impact at each stage, while maximizing the performance. Building on the editor's previous Handbook of Performability Engineering, it explains how performability engineering provides us with a framework to consider both dependability and sustainability in the optimal design of products, systems and services, and explores the role of performability in energy and waste minimization, raw material selection, increased production volume, and many other areas of engineering and production. The book discusses a range of new ideas, concepts, disciplines, and applications in performability, including smart manufacturing and Industry 4.0; cyber-physical systems and artificial intelligence; digital transformation of railways; and asset management. Given its broad scope, it will appeal to researchers, academics, industrial practitioners and postgraduate students involved in manufacturing, engineering, and system and product development.

Vibration Problems in Machines explains how to infer information about the internal operations of rotating machines from external measurements through methods used to resolve practical plant problems. Second edition includes summary of instrumentation, methods for establishing machine rundown data, relationship between the rundown curves and the ideal frequency response function. The section on balancing has been expanded and examples are given on the strategies for balancing a rotor with a bend, with new section on instabilities. It includes case studies with real plant data, MATLAB (R) scripts and functions for the modelling and analysis of rotating machines.

Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book provides insights into current advances and developments in reliability engineering, and the research presented is spread across all branches. It discusses interdisciplinary solutions to complex problems using different approaches to save money, time, and manpower. It presents methodologies of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization, uncertainty, and maintenance scheduling. Case studies and real-world examples are presented along with applications that can be used in practice. This book will be useful to researchers, academicians, and practitioners working in the area of reliability and systems assurance engineering. Provides current advances and developments across different branches of engineering. Reviews and analyses case studies and real-world examples. Presents applications to be used in practice. Includes numerous examples to illustrate theoretical results.

The Web of Things (WoT) is a concept that describes approaches, programming tools and software architectural systems, which interface networks of real-world objects with the World Wide Web. The book is organized into 11 chapters, each focusing on a unique wireless technological aspect of the Web of Things, and it aims to comprehensively cover each of its various applications, including: A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoT A blend of theoretical and simulation-based problems for better understanding of the concepts behind WoT Various exemplifying applications in which the use of WoT is very attractive and an inspiration for future applications The book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.

Road Vehicle Dynamics: Fundamentals and Modeling with MATLAB (R), Second Edition combines coverage of vehicle dynamics concepts with MATLAB v9.4 programming routines and results, along with examples and numerous chapter exercises. Improved and updated, the revised text offers new coverage of active safety systems, rear wheel steering, race car suspension systems, airsprings, four-wheel drive, mechatronics, and other topics. Based on the lead author's extensive lectures, classes, and research activities, this unique text provides readers with insights into the computer-based modeling of automobiles and other ground vehicles. Instructor resources, including problem solutions, are available from the publisher.

Design is about the creation of meaningful connections to solve problems and advance human wellbeing; the discipline has always explored the beneficial links between form and function, technology and meaning, beauty and utility, people and artefacts and problems and solutions, among others. This book focuses on the crucial connection between design research and design education. Contemporary society grows increasingly hyper-complex and globally competitive. This state of affairs raises fundamental questions for both Design Education and Design Research: Should research skills be integrated into undergraduate courses? How can we modify design courses without compromising the positive aspects of the educational studio experience? Can the three cycles of higher education in design be combined into a creative and inquisitive educational continuum? To examine the relationship between research and education in Design we must address the topic of knowledge, keeping in mind that the development and dissemination of new and useful knowledge is the core purpose of a University. If we agree that design has its own things to know and ways to find out about them, then design knowledge resides in people, processes, products, and philosophy. This book explores the intersection of these four areas with the aim of uncovering insights to advance the current state of the design discipline.

Glaucoma is the second leading cause of blindness globally. Early detection and treatment can prevent its progression to avoid total blindness. This book discusses and reviews current approaches for detection and examines new approaches for diagnosing glaucoma using CAD system. Computer-Aided Glaucoma Diagnosis System, Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today. Chapter 2 presents a review of the medical background of the disease, followed by a theoretical and mathematical background used in fundus image processing. Chapter 3 is a literature review about segmentation and feature extraction. Chapter 4 describes the formulation of the proposed methodology. In Chapter 5, the results of optic disc and optic cup segmentation algorithm are presented, the feature extraction and selection method, experimental results and performance evaluations of the classifier are given. Chapter 6 presents the conclusions and discussion of the future potential for the diagnostic system. This book is intended for biomedical engineers, computer science students, ophthalmologists and radiologists looking to develop a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and improve diagnosis of the disease. Key Features Discusses a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and presents an algorithm that detects optic disc and optic cup Assists ophthalmologists and researchers to test a new diagnostic method that reduces the effort and time of the doctors and cost to the patients Discusses techniques to reduce human error and minimize the miss detection rate and facilitate early diagnosis and treatment Presents algorithms to detect cup and disc color, shape features and RNFL texture features Dr. Arwa Ahmed Gasm Elseid is an assistant professor, Department of Biomedical Engineering, Sudan University of Science and Technology, Khartoum, Sudan. Dr. Alnazier Osman Mohammed Hamza is professor of Medical Imaging, College of Engineering, Sudan University of Sciences and Technology, Khartoum, Sudan.