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Knowledge-Based Assistance System for Part Preparation in Additive Repair by Laser Powder Bed Fusion

Published online by Cambridge University Press:  26 May 2022

N. V. Ganter ,
L. V. Hoppe ,
J. Dünte ,
P. C. Gembarski  and
R. Lachmayer
N. V. Ganter*
Affiliation:
Leibniz Universität Hannover, Germany
L. V. Hoppe
Affiliation:
Leibniz Universität Hannover, Germany
J. Dünte
Affiliation:
Leibniz Universität Hannover, Germany
P. C. Gembarski
Affiliation:
Leibniz Universität Hannover, Germany
R. Lachmayer
Affiliation:
Leibniz Universität Hannover, Germany
*
ganter@ipeg.uni-hannover.de

Abstract

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For the economic use of repair in the spare parts business, additive repair by Laser Powder Bed Fusion (LPBF) is a promising technology. As material can only be applied to a flat surface in LPBF, prior machining is required. The selection of the section plane requires expert knowledge, though. To provide that knowledge and recommend a suitable section plane, an expert system can be used. In this paper, a concept for such an expert system is presented and its functionality is evaluated by an example.

Keywords

additive manufacturingadditive repairdecision makingknowledge-based engineering (KBE)laser powder bed fusion (LPBF)

Information

Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1381 - 1390
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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