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.

Details

Title
Knowledge-Based Assistance System for Part Preparation in Additive Repair by Laser Powder Bed Fusion
Author
Ganter, N V 1 ; Hoppe, L V 1 ; Dünte, J 1 ; Gembarski, P C 1 ; Lachmayer, R 1 

1  Leibniz Universität Hannover, Germany 
Pages
1381-1390
Section
Article
Publication year
2022
Publication date
May 2022
Publisher
Cambridge University Press
e-ISSN
2732-527X
Source type
Conference Paper
Language of publication
English
DOI
https://doi.org/10.1017/pds.2022.140
ProQuest document ID
2886568885
Copyright
The Author(s), 2022. This work is licensed under the Creative Commons  Attribution – Non-Commercial – No Derivatives License 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. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.