Data Driven Design Selection and Generation - An Industrial Case Study on Electric Motors

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(Konferenzbeitrag)


Details zur Publikation

Autor(en): Tüchsen J, Pop AC, Koch M, Schleich B, Wartzack S
Jahr der Veröffentlichung: 2018
Seitenbereich: 1709-1720
Sprache: Englisch


Abstract

This paper presents a novel design selection and generation mechanism for fast and efficient solution-finding based on the knowledge-based systems concept. Such a mechanism can be fully exploited in the early design phases (i.e. quotation phase), when the supplier has to propose both a technically feasible and pricewise attractive solution to the OEM's request. The benefits of the presented method are a massive time reduction from several weeks to less than one day as well as an improvement of the overall solutions quality as all possible technologies are evaluated parallel.


FAU-Autoren / FAU-Herausgeber

Schleich, Benjamin Dr.-Ing.
Lehrstuhl für Konstruktionstechnik
Tüchsen, Johann
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik


Zitierweisen

APA:
Tüchsen, J., Pop, A.-C., Koch, M., Schleich, B., & Wartzack, S. (2018). Data Driven Design Selection and Generation - An Industrial Case Study on Electric Motors. (pp. 1709-1720). Dubrovnik, HR.

MLA:
Tüchsen, Johann, et al. "Data Driven Design Selection and Generation - An Industrial Case Study on Electric Motors." Proceedings of the DESIGN 2018 - 15th International Design Conference, Dubrovnik 2018. 1709-1720.

BibTeX: 

Zuletzt aktualisiert 2018-28-10 um 13:37