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

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2016-07-07

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Dilan, Rasim Askin
Balkan, Raif Tuna
Platin, Bülent Emre

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Air, Identification

URI

https://hdl.handle.net/11511/31462

DOI

https://doi.org/10.1051/matecconf/20168014002

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

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Citation Formats

R. A. Dilan, R. T. Balkan, and B. E. Platin, “Application of Multivariate Adaptive Regression Splines to Sheet Metal Bending Process for Springback Compensation,” 2016, vol. 80, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31462.