A parametric study on the bending accuracy in micro W-bending using Taguchi method
A parametric study on the bending accuracy in micro W-bending using Taguchi method
复制标题
DOI：
10.1016/j.measurement.2016.12.007
复制
发表时间：
2017-03
期刊：
影响因子：
5.6
通讯作者：
Xiaoyu Liu;Shiping Zhao;Y. Qin;Jie-Hua Zhao;Wan-Adlan Wan-Nawang-Wan-Adlan-Wan-Nawang-1399641537
中科院分区：
文献类型：
--
作者：
Xiaoyu Liu;Shiping Zhao;Y. Qin;Jie-Hua Zhao;Wan-Adlan Wan-Nawang-Wan-Adlan-Wan-Nawang-1399641537
通常需要微弯曲零件的高尺寸精度，特别是所需的弯曲角度。在本文报道的研究中，采用微 W 形弯曲工艺来解决这个问题。考虑了影响微W弯曲零件弯曲精度的四个主要参数：箔厚度、晶粒尺寸、箔取向和冲压频率。基于Taguchi L8正交阵列(OA)，采用配备W形凸模和凹模的微薄板成形机进行微W形弯曲实验。使用信噪比（S/N）和方差分析（ANOVA）对实验结果进行分析。研究发现，这些参数对微 W 形弯曲过程的影响程度取决于回弹行为。箔厚度对弯曲部件的回弹量影响最大。然而，负回弹主要受晶粒尺寸的影响，其次是箔厚度。此外，还获得了不同类型回弹的最佳弯曲条件。然后进行确认实验，不仅验证改进的弯曲精度，而且验证每个参数对回弹量和负回弹量的贡献程度。最后，使用回归分析开发了正回弹和负回弹的数学模型。可以看出，预测值与实验结果吻合良好，表明所建立模型的充分性。
High dimensional accuracy of micro-bent parts, particularly the desired bent angle, is often required. In the study reported in this paper, a micro W-bending process was used for the study addressing this issue. Four main parameters affecting the bending accuracy of the micro W-bent parts were considered: foil thickness, grain size, foil orientation and punch frequency. Based on Taguchi L8orthogonal array (OA), a micro-sheet-metal forming machine equipped with W-shaped punch and die was used to conduct the micro W-bending experiments. The experimental results were analysed using signal-to-noise (S/N) ratio and the analysis of variance (ANOVA). It was identified that the extent of the effect by these parameters on the micro W-bending process depends on springback behaviours. The foil thickness had highest influence on the springback amount of the bent parts. However, the negative springback was influenced mostly by the grain size, closely followed by the foil thickness. Furthermore, the optimum bending conditions for different types of the springback were obtained. Confirmation experiments were then performed not only to validate the improved bending accuracy, but also to verify the extent of the contribution from each parameter to the amounts of the springback and negative springback. Finally, mathematical models for both, positive springback and negative springback, were developed using the regression analysis. It is observed that the predicted values fit well with the experimental results, indicating the adequacy of the established models.