Data-driven Model Development for Quality Prediction in Forming Technology

Kirchen I, Vogel-Heuser B, Hildenbrand P, Schulte RK, Vogel M, Lechner M, Merklein M (2017)


Publication Type: Conference contribution

Publication year: 2017

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 775-780

Conference Proceedings Title: 15th IEEE International Conference on Industrial Informatics (INDIN)

ISBN: 9781538608371

DOI: 10.1109/INDIN.2017.8104871

Abstract

this investigation data recorded from a flexible rolling process is processed by data driven methods to develop a quality prediction model for manufactured blanks. A concept for an incremental prediction method is proposed, which takes into account the specific character of the discrete manufacturing process. The method is evaluated based on a data set of process and quality data provided by a test rig. By the example of a specific quality parameter the effectiveness of the proposed method is confirmed. A precise quality prediction model is developed, which predicts the quality value with a high accuracy.

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How to cite

APA:

Kirchen, I., Vogel-Heuser, B., Hildenbrand, P., Schulte, R.K., Vogel, M., Lechner, M., & Merklein, M. (2017). Data-driven Model Development for Quality Prediction in Forming Technology. In 15th IEEE International Conference on Industrial Informatics (INDIN) (pp. 775-780). Institute of Electrical and Electronics Engineers Inc..

MLA:

Kirchen, Iris, et al. "Data-driven Model Development for Quality Prediction in Forming Technology." Proceedings of the 15th IEEE International Conference on Industrial Informatics (INDIN) Institute of Electrical and Electronics Engineers Inc., 2017. 775-780.

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