Ontology-based methodology for the intelligent detection of product manufacturing information semantic representation errors in the model-based definition-Reference-Cited by-同舟云学术

Ontology-based methodology for the intelligent detection of product manufacturing information semantic representation errors in the model-based definition

Published:2024 Issue:5 Volume:18 Page:JAMDSM0065-JAMDSM0065
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

CHEN Yazhou¹,BAI Binlei¹,GAN Yi²,WANG Hongxin¹,LIN Xiaochuan¹,CHEN Yiming¹

Affiliation:

1. School of Marine Equipment and Mechanical Engineering, Jimei university

2. School of Mechanical Engineering, University of Shanghai for Science and Technology

Publisher

Japan Society of Mechanical Engineers

Link

https://www.jstage.jst.go.jp/article/jamdsm/18/5/18_2024jamdsm0065/_pdf

Reference24 articles.

1. Agovic, A., Trautner, T. and Bleicher, F., Digital transformation-implementation of drawingless manufacturing: A Case Study, Procedia CIRP, Vol.107, (2022), pp.1479-484.

2. American Society of Mechanical Engineers., Digital product definition data practices (2019), ASME Y14.41.

3. Asano, T., Watanabe, Y. and Nakamoto, K., Proposal of a machining feature recognition method to reflect product and manufacturing information, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.16, No.1, (2022), pp.32-42.

4. Barbau, R., Krima, S., Rachuri, S., Narayanan, A., Fiorentini, X., Foufou, S. and Sriram, R., OntoSTEP: enriching product model data using ontologies, Computer-Aided Design, Vol.44, (2012), pp.575-590.

5. Chen, Y., Xu, S., Gan, Y. and Zhang, Q., Exact Representation Methodology of 3D Annotation Information in Model Based Definition for Product Digitization, Computer-Aided Design and Applications, Vol.20, No.5, (2023), pp.856-871.