Issue |
MATEC Web Conf.
Volume 80, 2016
NUMIFORM 2016: The 12th International Conference on Numerical Methods in Industrial Forming Processes
|
|
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Article Number | 14002 | |
Number of page(s) | 8 | |
Section | IMS2: Engineering simulation of sheet forming processes | |
DOI | https://doi.org/10.1051/matecconf/20168014002 | |
Published online | 24 October 2016 |
Application of Multivariate Adaptive Regression Splines to Sheet Metal Bending Process for Springback Compensation
1 Servo and Stabilization Technologies Design Department, ASELSAN A.S., 06370, Ankara, Turkey
2 Mechanical Engineering Dept., Middle East Technical University, 06530, Ankara, Turkey
a Corresponding author: radilan@aselsan.com.tr
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.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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