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

Autor: Dilan Rasim Aşkın, Balkan Tuna, Platin Bülent E.
Jazyk: English<br />French
Rok vydání: 2016
Předmět:
Zdroj: MATEC Web of Conferences, Vol 80, p 14002 (2016)
Druh dokumentu: article
ISSN: 2261-236X
DOI: 10.1051/matecconf/20168014002
Popis: 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.
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