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Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design
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ISBN: 9780080993904 0080993907 9780081005415 0081005415 1299261868 9781299261860 Year: 2013 Publisher: Burlington Elsevier Science

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Abstract

It is a constant challenge for designers, even when educated in the fundamentals of materials and mechanical engineering, to make optimal selections of materials to satisfy complex design problems, when faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience to more formalized methods. The latter is available in computer-based form, and includes electronic databases with search engines to facilitate the materials selection process. Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process. Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. This book describes the rapidly growing field of MCDM and its application to materials selection. It aids readers in producing successful designs by improving the decision-making process. This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process. Describes the advantages of Quality Function Deployment (QFD) in the materials selection process through different case studies Presents a methodology for multi-objective material design optimization that employs Design of Experiments coupled with Finite Element Analysis Supplements existing quantitative methods of materials selection by allowing simultaneous consideration of design attributes, component configurations, and types of material Provides a case study for simultaneous materials selection and geometrical optimization processes.


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Multi-criteria decision analysis for supporting the selection of engineering materials in product design
Authors: --- ---
ISBN: 0081005369 1299261868 0080993907 0081005415 0080993869 9780080993904 9780081005361 9780081005415 9781299261860 Year: 2016 Publisher: Burlington

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Abstract

This book describes the growing field of multi-criteria decision making (MCDM) as applied to materials selection in product design. Useful in academic and research contexts, as well as to practitioners in materials engineering and design, it aids readers in producing successful designs by improving the decision-making process in materials selection. It is a constant challenge for designers, even when educated in the fundamentals of materials and mechanical engineering, to select the best materials to satisfy complex design problems. Current approaches to materials selection range fro


Book
Multi-criteria decision analysis : for supporting the selection of engineering materials in product design
Authors: --- ---
ISBN: 9780080993904 0080993907 9780081005415 0081005415 1299261868 9781299261860 0081005369 9780081005361 Year: 2016 Publisher: Butterworth-Heinemann

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Abstract

This book describes the growing field of multi-criteria decision making (MCDM) as applied to materials selection in product design. Useful in academic and research contexts, as well as to practitioners in materials engineering and design, it aids readers in producing successful designs by improving the decision-making process in materials selection. It is a constant challenge for designers, even when educated in the fundamentals of materials and mechanical engineering, to select the best materials to satisfy complex design problems. Current approaches to materials selection range fro

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