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Digital logic and knowledge-based system for the automotive piston material selection
M. A. Maleque
,
A. Arifutzzaman
International Islamic University Malaysia
Research output
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Contribution to journal
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Article
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peer-review
Overview
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Weight
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Engineering
Al Alloy
50%
Automotives
100%
Figure of Merit
50%
Grey Cast Iron
50%
Performance Requirement
50%
Reinforced Al
100%
Relative Cost
50%
Selection Method
50%
Weighting Factor
50%
Material Science
Alloy 20
33%
Cast Iron
33%
Composite Material
33%
Copper Alloy
66%
Material Selection
100%
Matrix Composite
66%
Performance Index
100%
Weighting Factor
33%