Multi-regression modeling for springback effect on automotive body in white stamped parts

Nagur Aziz Kamal Bashah, Norhamidi Muhamad, Baba Md Deros, Ahmad Zakaria, Shaharum Ashari, Achmed Mobin, Mohd Safuan Mohd Abdul Lazat

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The use of high strength steel (HSS) materials in automotive body in white (BIW) stamped parts has increased the occurrence of springback after the forming process. Although HSS exhibits superior strength, weight reduction, and crash energy, it strongly influences springback impact on the sustainable development of BIW stamped parts. In this study, an empirical springback prediction model was synthesized based on the contemporary data sets of springback-prone components of automotive BIW stamped parts. Two different BIW stamped parts from an actual industrial stamping production line were selected as pilot parts for this study. A statistical multi-regression (MR) analysis was used to model the springback prediction effect by examining the sensitivity of springback input parameters on existing die geometry. The outputs represent the total springback values of the stamped parts. A total of 240 data from samples of selected stamped parts were tabulated to synthesize the springback prediction model. The results show that the MR models for the two parts were linear with the springback estimated errors between the measured and predicted values between 0.5° and 3°, which is acceptable from an industrial viewpoint. The proposed MR models are capable of predicting the springback effect with minimal error by incorporating all possible variations that are inherent in the shop floor process.

Original languageEnglish
Pages (from-to)175-190
Number of pages16
JournalMaterials and Design
Volume46
DOIs
Publication statusPublished - Apr 2013

Fingerprint

High strength steel
Stamping
Regression analysis
Sustainable development
Geometry

Keywords

  • Body in white
  • Multi-regression technique
  • Springback
  • Stamped part

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Materials Science(all)

Cite this

Kamal Bashah, N. A., Muhamad, N., Md Deros, B., Zakaria, A., Ashari, S., Mobin, A., & Mohd Abdul Lazat, M. S. (2013). Multi-regression modeling for springback effect on automotive body in white stamped parts. Materials and Design, 46, 175-190. https://doi.org/10.1016/j.matdes.2012.10.006

Multi-regression modeling for springback effect on automotive body in white stamped parts. / Kamal Bashah, Nagur Aziz; Muhamad, Norhamidi; Md Deros, Baba; Zakaria, Ahmad; Ashari, Shaharum; Mobin, Achmed; Mohd Abdul Lazat, Mohd Safuan.

In: Materials and Design, Vol. 46, 04.2013, p. 175-190.

Research output: Contribution to journalArticle

Kamal Bashah, NA, Muhamad, N, Md Deros, B, Zakaria, A, Ashari, S, Mobin, A & Mohd Abdul Lazat, MS 2013, 'Multi-regression modeling for springback effect on automotive body in white stamped parts', Materials and Design, vol. 46, pp. 175-190. https://doi.org/10.1016/j.matdes.2012.10.006
Kamal Bashah, Nagur Aziz ; Muhamad, Norhamidi ; Md Deros, Baba ; Zakaria, Ahmad ; Ashari, Shaharum ; Mobin, Achmed ; Mohd Abdul Lazat, Mohd Safuan. / Multi-regression modeling for springback effect on automotive body in white stamped parts. In: Materials and Design. 2013 ; Vol. 46. pp. 175-190.
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