Ontology-based information modeling method for digital twin creation of as-fabricated machining parts

Sheng Dai, Gang Zhao, Yong Yu, Pai Zheng, Qiangwei Bao, Wei Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The Digital Twin concept, as the cutting edge of digital manufacturing solution for modern industries, plays a significant role in the Industry 4.0 era. One key enabling technology for developing a DT is the information modeling of physical products, so as to combine the physical world with the cyberspace more extensively and closely. Therefore, the modeling approach to managing as-fabricated data of physical products, which faithfully reflects the product's physical status, emerges to be pivotal. This paper addresses the problem of modeling as-fabricated parts in the machining process, which is difficult to accomplish by relevant methods, and hinders the long-term data archiving and reuse of process data. Furthermore, to fill the gap, an ontology-based information modeling method of as-fabricated parts is proposed as the recommendation to create DTs for as-fabricated parts. It provides a simple and standardized process for companies to create DTs of as-fabricated parts by specifying the information classification, the contents to be modeled and the modeling method. To validate the effectiveness of the proposed approach, a case study is undertaken in an aviation manufacturing plant at last. The result shows that the proposed information modeling methodology is readily to DT creation of as-fabricated parts.

Original languageEnglish
Article number102173
JournalRobotics and Computer-Integrated Manufacturing
Volume72
DOIs
Publication statusPublished - Dec 2021

Keywords

  • As-fabricated data
  • Digital twin
  • Information modeling
  • Machining part
  • Ontology

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mathematics(all)
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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