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Conventional materials selection system was replaced with sophisticated software tools by rapid changing technology.
In this chapter, a review of different materials selection system for composites under concurrent engineering environment is presented.
However, majority of the computerized materials selection system is still far from commercialization and the most successful materials selection is attributed to Cambridge engineering selector (CES) developed by Ashby and his coworkers.
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Under the umbrella of concurrent engineering, many materials selection systems have been developed using computer software packages like expert system, analytical hierarchy process, neural network, and fuzzy logics.
It is believed that the proposed decision-making model is suitable for linking to material databases and has the potential to enhance the efficiency of computer-aided materials selection systems.
This paper studies various work on the development of computerized material selection system.
This paper describes the development of an intelligent material handling equipment selection system called material handling equipment selection advisor (MHESA).
Depending on the materials selection within this system and detailed coating design, extremely high hardness, low friction and excellent chemical stability can be obtained.
This paper presents a system modelling methodology to support the integration between materials design (including materials selection) and engineering systems design at the early design stage.
The concept proposed in this paper can automate the design of a material handling equipment selection system, and provides artificial intelligence in the decision-making process.
Finally, based on this knowledge framework, a case study on constructing a mold material selection knowledge system is provided.
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