Featuring contributions from industry leaders in their respective fields, this volume presents comprehensive, authoritative coverage of all the major issues involved in road vehicle dynamic behavior. It begins with a short history of road and off-road vehicle dynamics followed by thorough, detailed state-of-the-art chapters on modeling, analysis and optimization in vehicle system dynamics, vehicle concepts and aerodynamics, pneumatic tires and contact wheel-road/off-road, modeling vehicle subsystems, vehicle dynamics and active safety, man-vehicle interaction, intelligent vehicle systems, and road accident reconstruction and passive safety.
Whether you are an engineer facing decisions in product design, an instructor or student engaged in course work, or a researcher exploring new options and opportunities, you can turn to Decision Making in Engineering Design for: Foundations and fundamentals of making decisions in product design; Clear examples of effective application of Decision-Based Design; State-of-the-art theory and practice in Decision-Based Design; Thoughtful insights on validation, uncertainty, preferences, distributed design, demand modeling, and other issues; End-of-chapter exercise problems to facilitate learning. With this advanced text, you become current with research results on DBD developed since the inception of The Open Workshop on Decision-Based Design, a project funded by the National Science Foundation.
This book discusses how product platform and product family design can be used successfully to increase variety within a product line, shorten manufacturing lead times, and reduce overall costs within a product line. The material serves as a reference and a hands-on guide for practitioners involved in the design, planning and production of products. Real-life case studies that explain the benefits of platform based product development are included.
This book concentrates on intelligent technologies as it relates to engineering systems. The book covers the following topics: networking, signal processing, artificial intelligence, control and software engineering, intelligent electronic circuits and systems, communications, and materials and mechanical engineering. The book is a collection of original papers that have been reviewed by technical editors. These papers were presented at the International Conference on Intelligent Technologies and Engineering Systems, held Dec. 13-15, 2012.
The contents of this book originate from a collection of selected papers presented at the 9th CIRP International Seminar on CAT held in April, 2005 at Arizona State University, USA. The CIRP plans this seminar every two years, and the book is one in a series of Proceedings on CAT. It contains 33 papers by experts from around the world on subjects that range from theoretical models to practical applications.
This book covers the state-of-the-art technologies in dynamic balancing of mechanisms with minimum increase of mass and inertia. The synthesis of parallel robots based on the Decomposition and Integration concept is also covered in detail. The latest advances are described, including different balancing principles, design of reactionless mechanisms with minimum increase of mass and inertia, and synthesizing parallel robots. This is an ideal book for mechanical engineering students and researchers who are interested in the dynamic balancing of mechanisms and synthesizing of parallel robots. This book also: · Broadens reader understanding of the synthesis of parallel robots based on the Decomposition and Integration concept · Reinforces basic principles with detailed coverage of different balancing principles, including input torque balancing mechanisms · Reviews exhaustively the key recent research into the design of reactionless mechanisms with minimum increase of mass and inertia, such as the design of reactionless mechanisms with auxiliary parallelograms, the design of reactionless mechanisms with flywheels, and the design of reactionless mechanisms by symmetrical structure design.
Multidisciplinary design optimization (MDO) can be used in computer aided engineering (CAE) to efficiently improve and balance performance of automotive structures. However, large-scale MDO is not yet generally integrated within automotive product development due to several challenges, of which excessive computing times is the most important one. In this thesis, a metamodel-based MDO process that fits normal company organizations and CAE-based development processes is presented. The introduction of global metamodels offers means to increase computational efficiency and distribute work without implementing complicated multi-level MDO methods. The presented MDO process is proven to be efficient for thickness optimization studies with the objective to minimize mass. It can also be used for spot weld optimization if the models are prepared correctly. A comparison of different methods reveals that topology optimization, which requires less model preparation and computational effort, is an alternative if load cases involving simulations of linear systems are judged to be of major importance. A technical challenge when performing metamodel-based design optimization is lack of accuracy for metamodels representing complex responses including discontinuities, which are common in for example crashworthiness applications. The decision boundary from a support vector machine (SVM) can be used to identify the border between different types of deformation behaviour. In this thesis, this information is used to improve the accuracy of feedforward neural network metamodels. Three different approaches are tested; to split the design space and fit separate metamodels for the different regions, to add estimated guiding samples to the fitting set along the boundary before a global metamodel is fitted, and to use a special SVM-based sequential sampling method. Substantial improvements in accuracy are observed, and it is found that implementing SVM-based sequential sampling and estimated guiding samples can result in successful optimization studies for cases where more conventional methods fail.
