基于DOE方法的机器人焊接试验设计

为了更好地预测机器人焊接工艺参数与焊缝成形参数之间的关系,通过DOE方法的全因子试验设计,在机器人焊接系统上对低碳钢进行两因素三水平焊接实验,定量分析了机器人焊接工艺参数与焊缝成形参数间的关系,建立相关预测模型,将预测结果与测试结果进行了对比验证。熔深、熔宽不仅受焊接功率和焊接速度主效应的影响,还受其交互作用的影响;余高只受到焊接功率和焊接速度主效应的影响,而与交叉效应无关,且通过实验确定了熔深、熔宽和余高的预测范围。结果表明,基于DOE方法的焊接试验设计为获得性能优异的焊接接头质量提供了参考,为实现焊接过程优化设计提供了一种新方法。...

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Published in实验室研究与探索 Vol. 35; no. 1; pp. 54 - 57
Main Author 马晓丽 曹力军 陈秋龙 周伟敏 杨海澜 张跃龙
Format Journal Article
LanguageChinese
Published 上海交通大学材料科学与工程学院,上海,200240 2016
Subjects
余高
焊接功率
焊接速度
熔宽
熔深
焊接功率
welding speed
excess weld metal
熔深
weld penetration
余高
weld width
熔宽
焊接速度
welding power
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Summary:为了更好地预测机器人焊接工艺参数与焊缝成形参数之间的关系,通过DOE方法的全因子试验设计,在机器人焊接系统上对低碳钢进行两因素三水平焊接实验,定量分析了机器人焊接工艺参数与焊缝成形参数间的关系,建立相关预测模型,将预测结果与测试结果进行了对比验证。熔深、熔宽不仅受焊接功率和焊接速度主效应的影响,还受其交互作用的影响;余高只受到焊接功率和焊接速度主效应的影响,而与交叉效应无关,且通过实验确定了熔深、熔宽和余高的预测范围。结果表明,基于DOE方法的焊接试验设计为获得性能优异的焊接接头质量提供了参考,为实现焊接过程优化设计提供了一种新方法。
Bibliography:welding power; welding speed; weld width; weld penetration; excess weld metal
In order to predict the effect of the welding parameters on the shape parameters in robot welding,full factorial experiment of DOE method was designed by two factors and three levels to quantitatively analyze the relationship between welding parameters and shape parameters. Prediction model was established to verify the results between predicting and testing. The main and interaction effect of welding power and welding speed on weld penetration and weld width,the main effect of welding power and welding speed on excess weld metal were determined,and the predict range of weld penetration,weld width and excess weld metal were identified. This new experimental method could verify the effect of welding power and welding speed on shape parameters,provide an evidence for good quality of weld joints and welding process optimization.
MA Xiao-li,CAO Li-jun,CHEN Qiu-long,ZHOU Wei-min,YANG Hai-lan,ZHANG Yue-long（School of Materials Science and E
ISSN:1006-7167