MATEC Web Conf.
Volume 80, 2016NUMIFORM 2016: The 12th International Conference on Numerical Methods in Industrial Forming Processes
|Number of page(s)||8|
|Section||IMS2: Engineering simulation of sheet forming processes|
|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: firstname.lastname@example.org
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.