Quality Control of Additive Manufacturing Using Statistical Prediction Models
E. Scheideler, A. Ahlemeyer-Stubbe, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , Lemgo, 2017, pp. 3–12.
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Konferenz - Beitrag
| Veröffentlicht
| Englisch
Autor*in
Scheideler, EvaELSA;
Ahlemeyer-Stubbe, Andrea
Herausgeber*in
Padoano, Elio;
Villmer, Franz-JosefELSA
Körperschaftlicher Herausgeber
Department of Production Engineering and Management;
Hochschule Ostwestfalen-Lippe
Einrichtung
Abstract
Additive Manufacturing (AM) is increasingly used to design new products. This is possible due to the further development of the AM-processes and materials. The lack of quality assurance of AM built parts is a key technological barrier that prevents manufacturers from adopting. The quality of an additive manufactured part is influenced by more than 50 parameters, which make process control difficult. Current research deals with using real time monitoring of the melt pool as feedback control for laser power. This paper illustrates challenges and opportunities of applying statistical predictive modeling and unsupervised learning to control additive manufacturing. In particular, an approach how to build a feedforward controller will be discussed.
Erscheinungsjahr
Titel des Konferenzbandes
Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy
Band
2017
Zeitschriftennummer
1
Seite
3-12
Konferenz
7th International Conference on Production Engineering and Management
Konferenzort
Pordenone, Italy
Konferenzdatum
2017-09-28 – 2017-09-29
ISBN
ELSA-ID
Zitieren
Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy . Vol 2017. Publication series in direct digital manufacturing . ; 2017:3-12.
Scheideler, E., & Ahlemeyer-Stubbe, A. (2017). Quality Control of Additive Manufacturing Using Statistical Prediction Models. In E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, & Hochschule Ostwestfalen-Lippe (Eds.), Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy (Vol. 2017, Issue 1, pp. 3–12).
Scheideler E and Ahlemeyer-Stubbe A (2017) Quality Control of Additive Manufacturing Using Statistical Prediction Models. In Padoano E et al. (eds), Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , vol. 2017. Lemgo, pp. 3–12.
Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Quality Control of Additive Manufacturing Using Statistical Prediction Models.” In Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , edited by Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 2017:3–12. Publication Series in Direct Digital Manufacturing . Lemgo, 2017.
Scheideler, Eva und Andrea Ahlemeyer-Stubbe. 2017. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , hg. von Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, und Hochschule Ostwestfalen-Lippe, 2017:3–12. Publication series in direct digital manufacturing . Lemgo.
Scheideler, Eva ; Ahlemeyer-Stubbe, Andrea: Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management ; Hochschule Ostwestfalen-Lippe (Hrsg.): Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , Publication series in direct digital manufacturing . Bd. 2017. Lemgo, 2017, S. 3–12
E. Scheideler, A. Ahlemeyer-Stubbe, Quality Control of Additive Manufacturing Using Statistical Prediction Models, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , Lemgo, 2017: pp. 3–12.
E. Scheideler and A. Ahlemeyer-Stubbe, “Quality Control of Additive Manufacturing Using Statistical Prediction Models,” in Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , Pordenone, Italy, 2017, vol. 2017, no. 1, pp. 3–12.
Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Quality Control of Additive Manufacturing Using Statistical Prediction Models.” Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , edited by Elio Padoano et al., vol. 2017, no. 1, 2017, pp. 3–12.
Scheideler, Eva/Ahlemeyer-Stubbe, Andrea: Quality Control of Additive Manufacturing Using Statistical Prediction Models, in: Padoano, Elio u. a. (Hgg.): Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , Bd. 2017, Lemgo 2017 ( Publication series in direct digital manufacturing ), S. 3–12.
Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy . Lemgo; 2017. p. 3–12. ( Publication series in direct digital manufacturing ; vol. 2017).
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