A Knowledge-graph based Method for Datum Reference Frame Reasoning

Hongsheng Fu, Chao Kong, Yanlong Cao, Yuanping Xu, Jin Jin, Tukun Li, Junding Luo, Zongzheng Zhang

Research output: Contribution to journalConference articlepeer-review

Abstract

In mechanical engineering, the datum is essential in the tolerance specification, which impacts assembly and functional requirements. The standard mechanical parts, such as shaft and gear, already have a formalized datum reference frame (DRF) design process. However, non-standard parts still mainly rely on manual design. To this end, a knowledge-graph-based DRF reasoning method for non-standard parts is proposed. In this paper, an OWL 2-based knowledge model is constructed according to industrial practice. It combines empirical knowledge, knowledge graphs, and ontology reasoning methods to perform DRF generation automatically and precisely. The finite element method is introduced into this work to evaluate reasoned DRF. The effectiveness and feasibility of the method are demonstrated via a case study.
Original languageEnglish
Pages (from-to)7-12
Number of pages6
JournalProcedia CIRP
Volume129
Early online date30 Oct 2024
DOIs
Publication statusPublished - 1 Nov 2024
Event18th CIRP Conference on Computer Aided Tolerancing - Huddersfield, United Kingdom
Duration: 26 Jun 202428 Jun 2024
https://fmh.hud.ac.uk/cirp-conference/

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