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Flow Forming of Tubes: Modeling and Optimization Using RSM, Composite Desirability Function, and TLBO

机译:管的流动形成:使用RSM,复合期望函数和TLBO建模和优化

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Modeling of backward flow forming process is attempted in this study using response surface method. Three inputs such as infeed, feed speed ratio, and axial stagger and three responses, such as spring-back, inside diameter of flow-formed tube and ovality of the inside diameter, are considered in this study. Multi-objective optimization technique was done using composite desirability function and TLBO to attain an optimum combination of input parameters. TLBO was found to be more accurate as compared to composite desirability function.
机译:使用响应面法在该研究中尝试了向后流动形成过程的建模。 在本研究中考虑了三种输入,例如进料,进料比和轴向交错和三个反应,例如弹簧背部,内径的流动管和内径的椭圆形。 使用复合期望函数和TLBO来实现多目标优化技术,以获得输入参数的最佳组合。 与复合期望函数相比,发现TLBO更准确。

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