透過您的圖書館登入
IP:216.73.216.134
  • 學位論文

高強度汽車保險桿餘肉面設計及成形參數優化

Parametric Optimization of Die Face Design for Sheet Metal Forming of High-Strength Automobile Bumper

指導教授 : 李碩仁

摘要


本研究目的為針對高強度汽車保險桿模具設計與修改流程,以具有系統化的方式,來對表面品質缺陷的進行改善,制定標準化的作業流程,達到縮短模具設計時間的目標。本研究以鈑件製造商的模面開發設計經驗作為基礎,發展出了AutoForm-Sigma 參數優化技術。 AutoForm-Sigma參數優化技術進行性能分析設計 (Performance analysis Design),藉由影響性分析 (Detail-Influence analysis) 結果,可以知道影響保險桿各區域表面品質的主要參數,快速改善表面缺陷。此外,由Sigma計算結果中的最佳目標函數所對應到的設計參數,可直接得到一較佳的模面。實例分析結果顯示,以經驗法則進行設計,需要大約40次的設計修改,始可獲得模面的目標質量;藉由AutoForm-Sigma參數優化技術,在起始的分析後,則約8次即可獲得。

並列摘要


This study is to develop a systematic method to improve the die surface quality of high-strength automobile bumper, and to generate standard operating procedure for die design. In this study, a real bumper is first designed by an experience engineer with trial-and-error approach. Then, the technology of parametric optimization with AutoForm-Sigma are developed based on the traditional experience. The technology of parametric optimization with AutoForm-Sigma takes the “performance analysis design.” This method uses the results of detail-Influence analysis to find the main influential parameters of surface quality. The surface defects can be improved efficiently by changing these parameters. Besides, the design parameters corresponded with the best objective function value in AutoForm-Sigma analysis could be used to get a better die surface. The results of real bumper case using above three methods show that the traditional design process takes forty design modifications to achieve the acceptable surface quality. The approach of parametric optimization with AutoForm-Sigma takes only eight modifications after the initial analysis runs.

參考文獻


[5] Y. Zhang, X. Kai, P. Zhu, W. Wang, “Lightweight design of automobile component using high strength steel based on dent resistance”, Materials and Design, 27, pp. 64-68, 2006.
[6] S. Kim, M. Park, S. Kim, D. Seo, “Blank design and formability for non-circular deep drawing processes by the finite-element method”, Journal of Materials Processing Technology, 75, pp. 94-99,1998.
[7] R. K. Verma, S. Chandra, “An improved model for predicting limiting drawing ratio”, Journal of Materials Processing Technology, 172, pp. 218-224, 2005.
[8] R. Kumar, “Formability analysis of extra - deep drawing steel”, Journal of Materials Processing Technology, 130-131, pp. 31-41, 2002.
[9] W. Thomas, T. Oenoki, T. Altan, “Process simulation in stamping - recent applications for product and process design”, Journal of Materials Processing Technology, 98, pp. 232-243, 2000.

被引用紀錄


王祖鑑(2005)。台北市九家醫院創傷登錄資料之研究〔碩士論文,臺北醫學大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0007-1704200714550490

延伸閱讀