Artificial Neural Network and Fuzzy Logic Based Techniques for Numerical Modeling and Prediction of Aluminum-5%Magnesium Alloy Doped with REM Neodymium  

作　　者：Anukwonke Maxwell Chukwuma Chibueze Ikechukwu Godwills Cynthia C. Nwaeju Osakwe Francis Onyemachi Anukwonke Maxwell Chukwuma;Chibueze Ikechukwu Godwills;Cynthia C. Nwaeju;Osakwe Francis Onyemachi(Department of Metallurgical and Materials Engineering, Nnamdi Azikiwe University, Awka, Nigeria;Department of Mechanical Engineering, Nigeria Martine University, Okerenkoko, Nigeria)

机构地区：[1]Department of Metallurgical and Materials Engineering, Nnamdi Azikiwe University, Awka, Nigeria [2]Department of Mechanical Engineering, Nigeria Martine University, Okerenkoko, Nigeria

出　　处：《International Journal of Nonferrous Metallurgy》2024年第1期1-19,共19页有色冶金（英文）

摘　　要：In this study, the mechanical properties of aluminum-5%magnesium doped with rare earth metal neodymium were evaluated. Fuzzy logic (FL) and artificial neural network (ANN) were used to model the mechanical properties of aluminum-5%magnesium (0-0.9 wt%) neodymium. The single input (SI) to the fuzzy logic and artificial neural network models was the percentage weight of neodymium, while the multiple outputs (MO) were average grain size, ultimate tensile strength, yield strength elongation and hardness. The fuzzy logic-based model showed more accurate prediction than the artificial neutral network-based model in terms of the correlation coefficient values (R).In this study, the mechanical properties of aluminum-5%magnesium doped with rare earth metal neodymium were evaluated. Fuzzy logic (FL) and artificial neural network (ANN) were used to model the mechanical properties of aluminum-5%magnesium (0-0.9 wt%) neodymium. The single input (SI) to the fuzzy logic and artificial neural network models was the percentage weight of neodymium, while the multiple outputs (MO) were average grain size, ultimate tensile strength, yield strength elongation and hardness. The fuzzy logic-based model showed more accurate prediction than the artificial neutral network-based model in terms of the correlation coefficient values (R).

关 键 词：Al-5%Mg Alloy NEODYMIUM Artificial Neural Network Fuzzy Logic Average Grain Size and Mechanical Properties 

分 类 号：TG1[金属学及工艺—金属学]