Nitinol is widely used as a functional advanced material in various fields. Poor machinability and lack of available joining techniques are the major drawbacks in the application of NiTinol. The effects of process parameters on the bead geometry, microstructure, new phase formation and mechanical properties in laser welding of one mm thick NiTinol sheet in butt-joint configuration were established through this study. Laser power, scan speed and focal position were considered as input parameters, whereas bead area and microhardness value of the bead were taken as output parameters. Statistical regression analysis was performed in order to establish the input-output relationships. Optimization technique was applied in order to get the minimum bead area satisfying the condition of minimum deviation of microhardness of the bead area from that of the parent material. This was formulated as a constrained optimization problem and solved using three recently developed metaheuristic techniques, namely, Grey Wolf Optimizer (GWO), Cricket Algorithm (CA), Bonobo Optimizer (BO), apart from Genetic algorithm (GA), and Desirability function analysis. A good agreement was found between the results predicted by optimization tools and the experimental results.

镍钛诺在各种领域中广泛用作功能先进的材料。可加工性差和缺乏可用的连接技术是应用镍钛诺的主要缺点。通过这项研究，确定了工艺参数对1mm厚的NiTinol薄板对接构型的激光焊接中的焊缝几何形状，微结构，新相形成和力学性能的影响。将激光功率，扫描速度和焦点位置作为输入参数，而将珠子的面积和微硬度值作为输出参数。为了建立输入-输出关系，进行了统计回归分析。为了使最小的焊道面积与母材的显微硬度的最小偏差满足条件，采用了优化技术。这被公式化为约束优化问题，并使用最近开发的三种启发式技术进行了求解，即灰狼优化器（GWO），板球算法（CA），Bo黑猩猩优化器（BO）（除了遗传算法（GA）和合意函数分析） 。在优化工具预测的结果与实验结果之间找到了很好的一致性。和期望函数分析。在优化工具预测的结果与实验结果之间找到了很好的一致性。和期望函数分析。在优化工具预测的结果与实验结果之间找到了很好的一致性。