This study focuses on optimization of process parameters, which may result in improved mechanical properties of the friction stir weldments of AA2014-T651. Plain taper and threaded taper cylindrical tool pin profiles were used for the study. A set of experiments was conducted at different levels of tool rotational and weld speeds using two tool pin profiles. Mechanical properties such as tensile strength, yield strength, impact strength, percentage of elongation, and hardness were measured. Objective functions are developed for the five mechanical properties in terms of input parameters. The input parameters were optimized using teaching–learning-based optimization algorithm technique to improve mechanical properties. The teaching–learning-based optimization algorithm suggested three best combinations such as combination-I (940 r/min and 32 mm/min), combination-II (1100 r/min and 40 mm/min), and combination-III (1205 r/min and 45 mm/min). The optimization is also validated with experimental results.

中文翻译：

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基于教学优化的AA2014-T651搅拌摩擦焊件多目标优化

本研究侧重于工艺参数的优化，这可能会提高 AA2014-T651 搅拌摩擦焊件的机械性能。研究中使用了普通锥形和螺纹锥形圆柱工具销轮廓。使用两个工具销轮廓在不同水平的工具旋转和焊接速度下进行了一组实验。测量机械性能，例如拉伸强度、屈服强度、冲击强度、伸长率和硬度。根据输入参数为五种机械特性开发目标函数。使用基于教学的优化算法技术优化输入参数以提高机械性能。基于教与学的优化算法提出了三种最佳组合，例如组合 I（940 r/min 和 32 mm/min）、组合 II（1100 r/min 和 40 mm/min）和组合 III（1205 r/min 和 45 mm/min）。优化也得到了实验结果的验证。