Application of Multivariate Adaptive Regression Splines to Sheet Metal Bending Process for Springback Compensation
12th International Conference on Numerical Methods in Industrial Forming Processes (NUMIFORM), Troyes, Fransa, 4 - 07 Temmuz 2016, cilt.80, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 80
- Doi Numarası: 10.1051/matecconf/20168014002
- Basıldığı Şehir: Troyes
- Basıldığı Ülke: Fransa
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- 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.