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范文学, 陈芙蓉. 基于响应面法7A52高强铝合金FSW接头抗拉强度预测及优化[J]. 焊接学报, 2021, 42(9): 55-60. DOI: 10.12073/j.hjxb.20210322001
引用本文: 范文学, 陈芙蓉. 基于响应面法7A52高强铝合金FSW接头抗拉强度预测及优化[J]. 焊接学报, 2021, 42(9): 55-60. DOI: 10.12073/j.hjxb.20210322001
FAN Wenxue, CHEN Furong. Prediction and optimization of tensile strength of 7A52 aluminum alloy friction stir welding joints based on response surface methodology[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2021, 42(9): 55-60. DOI: 10.12073/j.hjxb.20210322001
Citation: FAN Wenxue, CHEN Furong. Prediction and optimization of tensile strength of 7A52 aluminum alloy friction stir welding joints based on response surface methodology[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2021, 42(9): 55-60. DOI: 10.12073/j.hjxb.20210322001

基于响应面法7A52高强铝合金FSW接头抗拉强度预测及优化

Prediction and optimization of tensile strength of 7A52 aluminum alloy friction stir welding joints based on response surface methodology

  • 摘要: 为了研究7A52铝合金搅拌摩擦焊的焊接速度、搅拌头转速及轴肩压深对接头抗拉强度的影响,采用响应面法的中心复合试验设计法设计20组试验,并建立抗拉强度响应函数关系式. 为了验证响应函数关系式的精确性,通过方差分析和回归分析确定该回归模型为显性,相关性系数R2的偏差为3.17%. 通过单一焊接参数因素和双因素焊接参数对抗拉强度的影响分析,进一步验证了模型的准确性,最后通过拉伸试验验证. 结果表明,基于响应面法拟合的搅拌摩擦焊焊接速度、搅拌头转速及轴肩压深与接头抗拉强度响应函数关系式能精确的预算不同焊接参数组合所对应的接头抗拉强度,并获得接头最佳参数组合为焊接速度110 mm/min、搅拌头转速1 436 r/min和轴肩压深0.55 mm,得到最大预测抗拉强度为380 MPa.

     

    Abstract: In order to study the effects of welding speed, stirring head rotation speed and pressure deep of shaft shoulder on tensile strength of 7A52 aluminum alloy friction stir welding. 20 groups of tests were designed by response surface methodology based on central composite test design, and response function relationship were established. In order to verify the accuracy of the response function relationship, variance analysis and regression analysis were used to determine the dominance of the regression model, and the deviation of correlation coefficient R2 was only 3.17%. The accuracy of the model was verified by analyzing the influence of single welding parameter and double welding parameter on tensile strength. Finally, the model was verified by tensile test. The results show that the joint tensile strength can be predicated based on response function relationship of response surface methodology fitting, and the best combination of welding parameter (welding speed 110 mm/min, stirring head rotation speed 1 436 r/min, pressure deep of shaft shoulder 0.55 mm) was gained. The maximum predication tensile strength was 380 MPa.

     

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