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

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Nicola Viktoria Ganter, Lukas Valentin Hoppe, Jan D
Series: DESIGN
Institution: Leibniz Universit
Section: Design for Additive Manufacturing
Page(s): 1381-1390
DOI number: https://doi.org/10.1017/pds.2022.140
ISSN: 2732-527X (Online)

Abstract

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 manufacturing, additive repair, decision making, knowledge-based engineering (KBE), laser powder bed fusion (LPBF)