Abstract
? 2022Mechanical performances have a strong correlation with processing technology for Al0.3CoCrFeNiMn high-entropy alloy. Thus, the current study adopts solution treatment, cold rolling and annealing to investigate their corresponding microstructure and mechanical properties, and the models of backpropagation artificial neural network are established by using collected data set. The results indicate that twinning induced plasticity contributes to the synergized strength and plasticity, and excellent phase stability is found in both solid solution and cold rolling conditions. The neural network structures of 3–1–1, 3–3–1 and 3–3–1 are built for elongation, yield and tensile strength, respectively, the average accuracy of which is up to 93.4% providing an outstanding agreement between predicted and experimental results. According to coefficients matrix measuring the importance of a parameter, the order of significant factors is reduction rate, annealing temperature and solutionizing temperature.
NSTL
Elsevier