A Fuzzy Logic Approach for Modeling and Prediction of Mechanical Properties of Al-5%Mg Doped with Nickel
Publication Date : 08/03/2021
In this research, the average grain size and mechanical properties of aluminum-magnesium alloy doped with nickel were predicted using Fuzzy logic. The single input to the Fuzzy logic model was variation in percentage weight of nickel, while the multiple outputs were average grain size, ultimate tensile strength, yield strength, percentage elongation, hardness, and impact strength. In order for fuzzy model to accurately predict the mechanical properties of aluminum magnesium alloy, membership functions were established. In addition, a set of test case experiments were done so as to validate the fuzzy logic model. Fuzzy logic with a correlation coefficient (R) value of 0.99779 for average grain size, 0.99935 for ultimate tensile strength, 0.99733 for yield strength, 0.9906 for % elongation, 0.9996 for hardness and 0.9970 for impact strength were obtained. This result demonstrated agreement between the experimental values and Fuzzy model.
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