搅拌摩擦焊刀具轨迹误差对EN AW-2024-T3铝合金接头承载能力的影响

IF 3.8 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Magdalena Bucior , Rafał Kluz , Andrzej Kubit , Hamed Aghajani Derazkola , Enrico Cestino , Ján Slota
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引用次数: 0

摘要

研究了刀具轨迹偏差对EN AW-2024-T3铝合金搅拌摩擦焊(FSW)重叠接头承载能力和材料流动的影响。鉴于机器人运动本身就有理论上线性轨迹的偏差误差,本研究旨在评估这些偏差对焊接质量的影响。由于具有fsw功能的机器人具有低刚度,因此使用HAAS TM1P铣床模拟机器人的运动,并结合记录的偏差误差。首先在理想直线条件下进行了1 mm厚薄板的焊接工艺,确定了最佳参数:进给速度为200 mm/min,刀具转速为1517 rpm,插入深度为1.46 mm。随后,在铣床的运动中引入标准偏差为0.05 mm至0.2 mm的可控轨迹误差,以复制机器人的偏差。结果表明,当轨迹偏差达到0.1 mm标准时,对承载能力的影响不显著(从1.01%增加到1.95%),但会增加机械性能的分散性(从2.22%增加到2.5%)。SEM分析表明,当轨迹误差超过0.15 mm时,会出现材料折叠和微裂纹,影响焊缝的完整性。此外,多准则优化表明,可以通过调整焊接参数来补偿轨迹偏差,特别是通过降低进给速度来增加热量积累。这种方法使焊缝的承载能力下降最小(比理想轨迹焊缝低1.55%),减轻了机器人轨迹误差的负面影响。当进给速度x2 = 296 mm/min,转速x3 = 800 rpm时,接头的承载能力平均值为5.36 kN,标准差为σF = 0.07 kN。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Friction stir welding tool trajectory error on the load capacity of EN AW-2024-T3 aluminum alloy joints
This study investigates the influence of tool trajectory deviations on the load capacity and material flow of friction stir welded (FSW) overlap joints made of EN AW-2024-T3 aluminum alloy. Given that robotic movement is inherently burdened with deviation errors from a theoretically linear trajectory, this study aimed to assess the impact of these deviations on weld quality. Since the FSW-capable robot has low stiffness, a HAAS TM1P milling machine was used to simulate the robot's motion, incorporating recorded deviation errors. The welding process of 1 mm thick sheets was first conducted under ideal rectilinear conditions, establishing optimal parameters: feed rate of 200 mm/min, tool rotational speed of 1517 rpm, and plunge depth of 1.46 mm. Subsequently, controlled trajectory errors with standard deviations ranging from 0.05 mm to 0.2 mm were introduced into the milling machine’s movement to replicate robotic deviation. The results indicate that trajectory deviations with a standard deviation of up to 0.1 mm do not significantly affect the load capacity (increase from 1.01% to 1.95%) but increase dispersion in mechanical performance (2.22% - 2.5%). SEM analysis revealed that when trajectory errors exceeded 0.15 mm, material folding and microcracks appeared, compromising weld integrity. Furthermore, multi-criteria optimization demonstrated that compensating for trajectory deviations is possible by adjusting welding parameters—specifically, reducing the feed rate to increase heat accumulation. This approach enables the production of welds with a minimal decrease in load capacity (1.55% lower than an ideal trajectory weld), mitigating the negative effects of robotic trajectory errors. The use of a feed rate of x2 = 296 mm/min and a rotational speed of x3 = 800 rpm allows for achieving a load capacity of the joints with an average value of 5.36 kN with a standard deviation of σF = 0.07 kN.
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来源期刊
CiteScore
7.10
自引率
9.80%
发文量
58
审稿时长
44 days
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