Corrosion Resistance and Prevention for Sustainable Automotive Manufacturing is a resource that a wide range of readers both in academia and industry will find beneficial to stay up-to-date with advancements in automotive materials, coatings, and treatments designed to combat corrosion and extend the life of vehicles. With insights from leading experts in automotive engineering, materials science, and sustainable manufacturing, the book brings together the latest research, industry best practices, and real-world examples to provide a better understanding of the science behind corrosion prevention while exploring the pioneering solutions and strategies that are driving innovation in the sector in response to increasing pressures to reduce environmental impact of production processes and final products.
Sustainable Composites for Automotive Engineering presents recent trends in this important research field. Emphasis is placed on the development, characterization, and application of lightweight composites in various automobile components. The types of materials covered include polymer composites, metal matrix and ceramic matrix composites. The book takes a 360-degree approach and covers all aspects of the product development cycle including materials selection, as well as design and development processes, testing, characterization, modelling and simulation, and applications. The book will be a valuable reference resource for academic and industrial researchers, materials scientists and engineers, industrial R&D, automotive engineers, and manufacturers working in the design and development of composite materials for applications in automotive components.
Brake Pads: Materials, Manufacturing Processes, and Testing offers a comprehensive resource on this vital component of the braking system of a variety of vehicles (passenger cars, light commercial vehicles, buses, trucks, and airplanes). This specialized volume aims to bridge the theory and practice of designing and producing well-performing, greener, and cost-effective brake pads.It encompasses, in part I, an overview of friction materials already available on the market and other more recently developed formulations and, in part II, step-by-step examinations of a range of manufacturing parameters with related effects on the specific properties of the selected compounds as well as testing techniques.Discussions on regulatory standards, literature reviews, case studies, application scenarios, and analytical modeling make for a unique contribution that is not only timely but also shows the field’s potential for ever-growing transformation.
Structural Adhesive Bonding for Automotive Applications covers materials selection, design and manufacturing processes, quality control techniques, durability analysis, and repair methods. Practical examples support investigations into the improvements that adhesively bonded configurations offer (including resistance to dynamic fatigue, body stiffness, crash performance compared with other conventional joining methods, and enhanced corrosion resistance). The book provides a timely compendium of specialized knowledge for students who wish to further their understanding of adhesive science and bonded vehicle structures and manufacturing, but it is also ideal for design engineers who wish to gain an appreciation of new technology in adhesive joining.
Automotive structural components are an important component that affects the performance of the entire vehicle. The light weight of automotive structural components is one of the sustainable solutions to energy and environmental issues, and the development technology of its core components and vehicle performance evaluation technology are its key development directions. To gradually replace traditional cars on a large scale, electric vehicles need to address the durability and reliability issues of the entire vehicle and key components. Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components helps readers understand how they can do this
Resilient, Sustainable and Smart Ballasted Railway Track explores the optimization of railway ballast tracks to achieve resilience, sustainability, and intelligence in railway infrastructure. It summarizes and examines new technologies and developments that address unresolved rapid defects in track components: such as rail damage, track stability, ballast flight, and ballast fouling. The book discusses the application of innovative materials derived from waste and recycled railway components, including tyre-derived aggregates, recycled ballast, Neoballast, and polyurethane (often referred to as ballast glue).Finally, the book examines state-of-the-art structural health monitoring techniques, such as smart sleepers, Interferometric Synthetic Aperture Radar (InSAR), ground-penetrating radar, and inspection robots.
The global race to develop and deploy automated vehicles is still hindered by significant challenges, with the related complexities requiring multidisciplinary research approaches. Knowledge Graph-Based Methods for Automated Driving offers sought-after, specialized know-how for a wide range of readers both in academia and industry on the use of graphs as knowledge representation techniques which, compared to other relational models, provide a number of advantages for data-driven applications like automated driving tasks. The machine learning pipeline presented in this volume incorporates a variety of auxiliary information, including logic rules, ontology-informed workflows, simulation outcomes, differential equations, and human input, with the resulting operational framework being more reliable, secure, efficient as well as sustainable. Case studies and other practical discussions exemplify these methods’ promising and exciting prospects for the maturation of scalable solutions with potential to transform transport and logistics worldwide.
Autonomous Electric Vehicles explores cutting-edge technologies revolutionizing transportation and city navigation. Novel solutions to the control problem of the complex nonlinear dynamics of robotized electric vehicles are developed and tested. The new control methods are free of shortcomings met in control schemes which are based on diffeomorphisms and global linearization (complicated changes of state variables, forward and backwards state-space transformations, singularities). It is shown that such methods can be used in the steering and traction system of several types of robotized electric vehicles without needing to transform the state-space model of these systems into equivalent linearized forms. It is also shown that the new control methods can be implemented in a computationally simple manner and are also followed by global stability proofs.
Human-Machine Interface for Intelligent Vehicles: Design Methodology and Cognitive Evaluation examines the fields of designing and developing intelligent design and intelligent vehicle driving evaluation by using virtual reality, augmented reality, and other technologies. The book explains the methodologies and systems of interactive design, user evaluation and testing using virtual reality technology and augmented reality technology in intelligent cockpit design. With the rising prominence of electric vehicles and automatic driving (assisted) technology, intelligent vehicles are becoming a reality.Compared to traditional interactive design, artificial intelligence provides new opportunities and challenges for the interactive design of intelligent cockpit space, especially under the condition of intelligent assisted driving, the driver's behavior performance, multimodal interactive display interface design and evaluation.
Vehicular Platoon System Design: Fundamentals and Robustness provides a comprehensive introduction to connected and automated vehicular platoon system design. Platoons decrease the distances between cars or trucks using electronic, and possibly mechanical, coupling. This capability allows many cars or trucks to accelerate or brake simultaneously. It also allows for a closer headway between vehicles by eliminating reacting distance needed for human reaction. The book considers the key issues of robustness and cybersecurity, with optimization-based model predictive control schemes applied to control vehicle platoon.In the controller design part, several practical problems, such as constraint handling, optimal control performance, robustness against disturbance, and resilience against cyberattacks are reviewed. In addition, the book provides detailed theoretical analysis of the stability of the platoon under different control schemes.