Open Access
A knowledge-based system for materials selection in mechanical engineering design
Mohd Sapuan Salit
- 01 Dec 2001
52
TL;DR: In this paper, the importance of knowledge-based system (KBS) in the context of concurrent engineering is explained, and the study of KBS in material selection in an engineering design process is described.
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Abstract: This paper studies various work on the development of computerized material selection system. The importance of knowledge-based system (KBS) in the context of concurrent engineering is explained. The study of KBS in material selection in an engineering design process is described. The development in materials databases, which sometimes serve as material selection packages, is also discussed. The use of KBS in material selection and the application in the domain of polymeric-based composite are chosen as typical examples.
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State of the art of the concurrent engineering technique in the automotive industry
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•Journal Article
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Methods for the capture of manufacture best practice in product lifecycle management
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References
Materials Selection for Mechanical Design
David Cebon,Michael F. Ashby +1 more
- 16 Sep 1992
TL;DR: The design process engineering materials and their properties materials selection charts materials selection without shape selection of material and shape materials processing and design sources of material property data materials, aesthetics and industrial design forces for change case studies as mentioned in this paper.
•Book
Total Design: Integrated Methods for Successful Product Engineering
Stuart Pugh
- 01 Feb 1991
TL;DR: The Total Design Activity Design Core: Market/User Needs and Demands Design core: Conceptual Design Design Core, Detail Design (Technical Design), Manufacture Design, Selling (Marketing), Electronic Aids to Total Design Further Methods to Assist the Design Core Total Design: A Summary Exercises to Illustrate the DesignCore Appendices Bibliography Index as discussed by the authors.
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Artificial Intelligence in Civil Engineering
TL;DR: Recently developed methods and theories in the developing direction for applications of artificial intelligence in civil engineering, including evolutionary computation, neural networks, fuzzy systems, expert system, reasoning, classification, and learning, are summarized.
A prototype knowledge-based system for the material selection of polymeric-based composites for automotive components
S.M. Sapuan,Hassan Abdalla +1 more
TL;DR: In this paper, a prototype system for the selection of polymeric-based composite materials for automotive components is presented, using a knowledge-based system KEE (Knowledge Engineering Environment) tool-kit.
72
State of the art of the concurrent engineering technique in the automotive industry
TL;DR: The use of concurrent engineering techniques in the development of the automotive engine and transmission, chassis and body is finally described.
64