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IMPROVING THE RELIABILITY OF TUBE HYDROFORMING PROCESS BY THE TAGUCHI METHOD

机译:田口法提高管子加氢成型过程的可靠性

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摘要

The tube hydroforming process has undergone extremely rapid development, especially in applications for the automobile industry. In-process variation of forming parameters such as material properties, friction conditions and part geometries will directly affect the quality of forming response by causing variation in the process output. To ensure a reliable hydroforming process at the design stage, applying robust design methodologies becomes crucial to the success of the resulting process. The reliability of the tube hydroforming process based on the tube wall thickness thinning ratio is studied in this paper. In order to improve the reliability of the process, the Taguchi method, which is capable of evaluating the effects of process variables on both the mean and variance of process output, is used to determine the optimal forming parameters for minimizing the variation and average value of the thinning ratio. The Taguchi method is applied to design experimental arrays which incorporate design (i.e., controllable) parameters and noise (i.e., non-controllable) parameters. Finite element simulation is used to analyze the virtual experiments according to the experimental arrays. Through statistical analysis, the influence of each design parameter on both the mean and variance of the thinning ratio is obtained, and is used to find the optimal combination of design parameters for minimum thinning ratio, minimum variance of thinning ratio, and maximum expected process reliability. A cross-extrusion hydroformed tube is employed as an example to illustrate the effectiveness of this approach.
机译:管的液压成型工艺已经得到了飞速发展,特别是在汽车工业中。诸如材料特性,摩擦条件和零件几何形状之类的成形参数在工艺中的变化将通过引起工艺输出的变化而直接影响成形响应的质量。为了确保在设计阶段进行可靠的液压成形工艺,采用可靠的设计方法对于最终工艺的成功至关重要。本文研究了基于管壁厚度变薄率的管液压成形工艺的可靠性。为了提高过程的可靠性,Taguchi方法可以评估过程变量对过程输出的均值和方差的影响,它被用来确定最佳成形参数,以最大程度地减小过程的变化和平均值。稀疏率。 Taguchi方法用于设计结合了设计(即,可控)参数和噪声(即,不可控)参数的实验阵列。有限元模拟用于根据实验阵列分析虚拟实验。通过统计分析,获得每个设计参数对稀疏率均值和方差的影响,并用于找到最小稀疏率,最小稀疏率方差和最大预期工艺可靠性的设计参数的最佳组合。 。以交叉挤压液压成型管为例来说明这种方法的有效性。

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