Application of Multivariate Adaptive Regression Splines to Sheet Metal Bending Process for Springback Compensation

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Dilan R. A., Balkan T., PLATİN B. E.

12th International Conference on Numerical Methods in Industrial Forming Processes (NUMIFORM), Troyes, Fransa, 4 - 07 Temmuz 2016, cilt.80 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 80
  • Doi Numarası: 10.1051/matecconf/20168014002
  • Basıldığı Şehir: Troyes
  • Basıldığı Ülke: Fransa
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

An intelligent regression technique is applied for sheet metal bending processes to improve bending performance. This study is a part of another extensive study, automated sheet bending assistance for press brakes. Data related to material properties of sheet metal is collected in an online manner and fed to an intelligent system for determining the most accurate punch displacement without any offline iteration or calibration. The overall system aims to reduce the production time while increasing the performance of press brakes.