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作 者:尹驰 郭永环 范希营 朱志伟 宋昊轩 张亮 YIN Chi;GUO Yonghuan;FAN Xiying;ZHU Zhiwei;SONG Haoxuan;ZHANG Liang(College of Mechanical and Electrical Engineering,Jiangsu Normal University,Xuzhou,221116,China;College of Materials Science and Engineering,Xiamen University of Technology,Xiamen,361024,China)
机构地区:[1]江苏师范大学,机电工程学院,徐州221116 [2]厦门理工学院,材料科学与工程学院,厦门361024
出 处:《焊接学报》2024年第11期140-144,共5页Transactions of The China Welding Institution
基 金:福建省“闽江学者”特聘教授人才项目(闽教高[2022]4号);江苏师范大学2024年研究生科研与实践创新计划项目(2024XKT0653)。
摘 要:针对铝和铜在化学和物理性能上的差异,导致在焊接过程中接头会出现许多缺陷,极大影响了接头性能的问题,文中将FeCoNiCrTi高熵合金粉末作为填充材料,提出使用一种结合黑翅鸢优化算法(black-winged kite algorithm,BKA)优化的梯度提升回归树(gradient boosting regression tree,GBRT)模型与多目标随机绘画优化算法(multi-objective stochastic paint optimizer,MOSPO)结合的方法优化激光焊接参数.结果表明,在激光功率677.2 W,焊接速度639.3 mm/min,离焦量2.75 mm,高熵合金添加量0.05 g的条件下,优化目标达到最优水平,焊接件的翘曲变形量减小了20.14%,焊接件可承受的最大拉力增大了49.72%,成本减少了10.90%.Due to the significant differences in the chemical and physical properties of aluminum and copper,numerous defects can arise at the welded joint during the welding process,severely affecting the joint's performance.High-entropy alloys provide significant advantages in enhancing the welding performance of dissimilar metals.Therefore,this study employed FeCoNiCrTi high-entropy alloy powder as a filler material.Additionally,the study proposed an optimization method for welding parameters using a gradient boosting regression tree model optimized by the black-winged kite algorithm,combined with a multi-objective stochastic paint optimizer.The results indicate that under the conditions of a laser power of 677.2 W,a welding speed of 639.3 mm/min,a defocusing amount of 2.75 mm,and a high-entropy alloy addition of 0.05 g,the optimization objectives reached optimal levels.The warp deformation of the welded part decreased by 20.14%,the maximum tensile strength of the welded part increased by 49.72%,and the cost was reduced by 10.90%.
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