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首页> 外文期刊>Journal of Materials Engineering and Performance >Optimization of FS Welding Parameters for Improving Mechanical Behavior of AA2024-T351 Joints Based on Taguchi Method
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Optimization of FS Welding Parameters for Improving Mechanical Behavior of AA2024-T351 Joints Based on Taguchi Method

机译：Taguchi法优化FS焊接参数以改善AA2024-T351接头的力学性能

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摘要

In the present study, the design of an experiment technique, the Taguchi method, has been used to optimize the friction stir welding (FSW) parameters for improving mechanical behavior of AA2024-T351 joints. The parameters considered were vertical downward forging force, tool travel speed, and probe length. An orthogonal array of L_9 (3~4) was used; ANOVA analyses were carried out to identify the significant factors affecting tensile strength (Global Efficiency to Tensile Strength - GETS), bending strength (Global Efficiency to Bending - GEB), and hardness field. The percentage contribution of each parameter was also determined. As a result of the Taguchi analysis in this study, the probe length is the most significant parameter on GETS, and the tool travel speed is the most important parameter affecting both the GEB and the hardness field. An algebraic model for predicting the best mechanical performance, namely fatigue resistance, was developed and the optimal FSW combination was determined using this model. The results obtained were validated by conducting confirmation tests, the results of which verify the adequacy and effectiveness of this approach.
机译：在本研究中，实验技术的设计，即Taguchi方法，已用于优化搅拌摩擦焊（FSW）参数，以改善AA2024-T351接头的机械性能。考虑的参数是垂直向下锻造力，刀具行进速度和探针长度。使用L_9（3〜4）的正交数组;进行了ANOVA分析，以确定影响拉伸强度（抗拉强度的整体效率-GETS），抗弯强度（抗弯曲的整体效率-GEB）和硬度场的重要因素。还确定了每个参数的百分比贡献。 Taguchi分析的结果是，探针长度是GETS上最重要的参数，而刀具行进速度是影响GEB和硬度场的最重要参数。建立了预测最佳机械性能即抗疲劳性的代数模型，并使用该模型确定了最佳FSW组合。通过进行确认测试来验证所获得的结果，其结果验证了该方法的充分性和有效性。

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