Abstract

In the present study, aluminium hybrid surface composites were prepared by incorporating boron carbide (B₄C) and Aluminium oxide (Al₂O₃) ceramic particles via the Friction Stir Processing (FSP) route. Tool rotational speed, Tool traverse speed, Axial force, and Reinforcement ratio were the chosen process parameters. Response Surface Method (RSM) based Central Composite Design (CCD) was used to conduct the experimental trials. A second-order regression equation was developed for the responses, ultimate tensile strength (UTS), and wear rate (WR). Statistical tests were performed to check the adequacy of the regression models. The effect of process parameters on the responses was studied. It was found that tool traverse speed was the most dominant process parameter, followed by tool rotational speed, axial force, and reinforcement ratio. The optimal process parameters for the responses were found using a genetic algorithm, where the regression equations from RSM were used as the objective function.

摘要

在本研究中，通过掺入碳化硼（B ₄ C）和氧化铝（Al ₂ O ₃）陶瓷颗粒，制备了铝杂化表面复合材料。摩擦搅拌处理 (FSP) 路线。刀具转速、刀具移动速度、轴向力和钢筋比是选择的工艺参数。使用基于响应面法 (RSM) 的中央复合设计 (CCD) 进行实验试验。为响应、极限抗拉强度 (UTS) 和磨损率 (WR) 开发了二阶回归方程。进行统计测试以检查回归模型的充分性。研究了工艺参数对响应的影响。结果表明，刀具移动速度是最主要的工艺参数，其次是刀具转速、轴向力和钢筋比。使用遗传算法找到响应的最佳过程参数，其中来自 RSM 的回归方程用作目标函数。