Accurate localization technique for stamping sheet metal parts with complex surfaces


ESENER E.

Indian Journal of Engineering and Materials Sciences, cilt.28, sa.4, ss.409-419, 2021 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 4
  • Basım Tarihi: 2021
  • Dergi Adı: Indian Journal of Engineering and Materials Sciences
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, INSPEC, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.409-419
  • Anahtar Kelimeler: Computer simulation, Deviation analysis, FEM, Sheet stamping, Surface localization
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

© 2021, National Institute of Science Communication and Information Resources. All rights reserved.Sheet metal stamping processes involving three-dimensional parts have been appealing various engineering research efforts, especially when it comes to high strength steels. Particularly, for those with complex, sculptured surfaces, the springback phenomena causes non-trivial geometry problems in both evaluation and compensation of geometric distortions. Computer simulations based on Finite Element (FE) improve and enhance stamping methods in order to achieve required dimensional tolerances and reduce time-consuming design and production stages. FE results are compared with the desired product geometry for validation of the simulation accuracy, as well as indicating design status with respect to part geometry. In these assessments, part geometric localization at design space is a very critical step that design engineers must pay great attention in positioning both tool and part surfaces. In this study, a new surface localization methodology is presented for comparison of FE analysis results with non-contacted scanned part surfaces. In this methodology, the gap projection and centroid superposing technique are used for localizing the complex surfaces in a design space and applied to the process design steps of a roof stiffener automotive part. An assessment of shape distortion indicators shows that the proposed methodology can localize the surfaces accurately and much efficiently than conventional methods.