This study aims to analyze the accomplishment of cutting performance in hot abrasive jet machining (HAJM) of hardstone quartz concerning surface roughness, taper angle, and material removal rate. Fifteen sets of experimental trials were conducted by considering three cutting parameters (air pressure, abrasive temperature, standoff-distance) based on Box–Behnken’s design of experiments. Additionally, response surface methodology, analysis of variance, and statistical technique (here, desirability function approach) followed by computational approach (here, genetic algorithm) are, respectively, employed for experimental investigation, predictive modeling, and multi-response optimization. Thereafter, the effectiveness of proposed two multi-objective optimization techniques is evaluated by confirmation test and subsequently, the best optimal solution is used for cost analysis to rationalize the usefulness of hot abrasives in AJM process with an intension to raise the awareness in the manufacturing industry. Based on results, application of hot abrasives in AJM process has shown an attention in enhancing the cutting performance for material removal.

本研究旨在分析硬石石英热磨喷射加工（HAJM）的切削性能，涉及表面粗糙度，锥角和材料去除率。根据Box–Behnken的实验设计，通过考虑三个切削参数（气压，磨料温度，支座距离）进行了15组实验。此外，分别采用响应面方法，方差分析和统计技术（在此为合意函数法），然后是计算方法（在此为遗传算法），用于实验研究，预测建模和多响应优化。此后，通过确认测试评估了提出的两种多目标优化技术的有效性，随后，最佳的最佳解决方案用于成本分析，以合理利用AJM过程中的热磨料，以提高制造行业的知名度。基于结果，热磨料在AJM工艺中的应用已显示出在增强切削性能以去除材料方面的关注。