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Modeling and Optimization of the Yield Strength and Tensile Strength of Al7075 Butt Joint Produced by FSW and SFSW Using RSM and Desirability Function Method
Transactions of the Indian Institute of Metals ( IF 1.6 ) Pub Date : 2020-08-19 , DOI: 10.1007/s12666-020-02075-8
Mahdi Vahdati , Mahmoud Moradi , Mahmoud Shamsborhan

Friction stir welding (FSW) is introduced as a solid-state welding process. Despite the many benefits of the FSW, the effects of the thermal cycles in this process are causing softening of the joint. This phenomenon generally occurs in heat-treatable aluminum alloys and results in reduced mechanical properties of the joint. To solve this limitation, submerged friction stir welding (SFSW) has been developed which is suitable for welding of heat-sensitive alloys. In this study, 31 butt joints were first produced from Al7075-T6 using the FSW. For this purpose, the response surface methodology was selected as the design of experiments method, and the variables: tool rotational speed, tool feed rate, tool shoulder diameter, and tool tilt angle were determined as the input variables. Then, the statistical analysis of the parameters affecting the yield strength and tensile strength of the joints was investigated. Then, 10 joints were produced using the SFSW based on the optimal values of the tool feed rate and tool tilt angle. Results of the ANOVA and regression analysis of the experimental data confirmed the accuracy and precision of regression equations and showed that the linear, interactional and quadratic terms of tool shoulder diameter and tool rotational speed effect on the yield strength and ultimate tensile strength of submerged joints. Also, the optimal conditions of input variables were determined by the desirability method and confirmed by the verification test.



中文翻译:

用RSM和期望函数法对FSW和SFSW生产的Al7075对接接头的屈服强度和拉伸强度进行建模和优化

搅拌摩擦焊(FSW)是一种固态焊接工艺。尽管FSW有许多好处,但是在此过程中,热循环的影响导致接头软化。这种现象通常发生在热处理铝合金中,并导致接头的机械性能降低。为了解决此限制,已开发了适用于热敏合金焊接的浸入式搅拌摩擦焊(SFSW)。在这项研究中,首先使用FSW从Al7075-T6生产了31个对接接头。为此,选择响应面方法作为实验方法的设计,并将变量:刀具转速,刀具进给速率,刀肩直径和刀具倾斜角确定为输入变量。然后,研究了影响接头屈服强度和抗拉强度的参数的统计分析。然后,根据刀具进给速度和刀具倾斜角的最佳值,使用SFSW生产10个接头。方差分析和实验数据的回归分析结果证实了回归方程的准确性和精确度,并表明,刀肩直径和刀具转速的线性,相互作用和二次项对浸没接头的屈服强度和极限抗拉强度产生影响。另外,通过期望方法确定输入变量的最佳条件,并通过验证测试确认。根据刀具进给速度和刀具倾斜角的最佳值,使用SFSW生产了10个接头。方差分析和实验数据的回归分析结果证实了回归方程的准确性和精确度,并显示了工具肩部直径和工具转速的线性,相互作用和二次项对水下接头的屈服强度和极限抗拉强度的影响。另外,通过期望方法确定输入变量的最佳条件,并通过验证测试确认。根据刀具进给速度和刀具倾斜角的最佳值,使用SFSW生产了10个接头。方差分析和实验数据的回归分析结果证实了回归方程的准确性和精确度,并显示了工具肩部直径和工具转速的线性,相互作用和二次项对水下接头的屈服强度和极限抗拉强度的影响。另外,通过期望方法确定输入变量的最佳条件,并通过验证测试确认。肩部直径和工具转速的相互作用和二次项对水下接头的屈服强度和极限抗拉强度的影响。另外,通过期望方法确定输入变量的最佳条件,并通过验证测试确认。肩部直径和工具转速的相互作用和二次项对浸没接头的屈服强度和极限抗拉强度的影响。另外,通过期望方法确定输入变量的最佳条件,并通过验证测试确认。

更新日期:2020-08-20
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