Grey-Fuzzy Logic Based Approach in Multi-Response Optimization of Semi-Solid Forging of A356 Aluminium Alloy

Abstract:

This paper presents an effective approach for the optimization of the semi-solid forging process of A356 Al-alloy based on the orthogonal array with the grey relational analysis and fuzzy logic analysis. Through the grey-fuzzy logic analysis, the optimization of complicated multiple performance characteristics can be converted into the optimization of a single grey-fuzzy reasoning grade. In this semi-solid forging process of A356 Al-alloy, the forging process parameters, namely the forging temperature, percent deformation, and die temperature are optimized with considerations of multiple performance characteristics including the tensile strength and hardness. The experimental results for the optimal setting have shown that the above performance characteristics in the semi-solid forging process of A356 Al-alloy can be improved effectively together through this approach.

• Periodical: Materials Science Forum (Volume 1016)
• Pages: 1875-1881
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.1016.1875
• Online since: January 2021
• Authors: Rajkumar Ohdar*, Niranjan Kumar Singh, Archana Kumari, Randhir Kumar
• Keywords: Grey Fuzzy Logic, Grey Relational Coefficient, Multiple Response Characteristics, Optimization, Semi-Solid Forging

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