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.

Authors with CRIS profile

Philipp Hildenbrand Institute of Manufacturing Technology (LFT) Robert Karl Schulte Institute of Manufacturing Technology (LFT) Manfred Vogel Institute of Manufacturing Technology (LFT) Michael Lechner Institute of Manufacturing Technology (LFT) Marion Merklein Institute of Manufacturing Technology (LFT)

Additional Organisation(s)

Institute of Manufacturing Technology (LFT)

Related research project(s)

Manufacturing of tailored blanks by orbital forming and flexible rolling (SFB/TR73 - A1/1) Umformtechnische Herstellung von komplexen Funktionsbauteilen mit Nebenformelementen aus Feinblechen - Blechmassivumformung Jan. 1, 2016 - March 31, 2021

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

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.

BibTeX: Download