Prediction of the influence of processing parameters on synthesis of Al2024-B4C composite powders in a planetary mill using an artificial neural network

In this study, an artificial neural network approach was employed to predict the effect of B 4 C size, B 4 C content, and milling time on the particle size and particle hardness of Al2024-B 4 C composite powders. Al2024-B 4 C powder mixtures with various reinforcement weight percentages (5%, 10%, and 20% B 4 C), reinforcement size (49 and 5 μm), and milling times (0–10 h) were prepared by mechanical alloying process. The properties of the...