The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction

Chao Kong; Yuanping Xu; Yue Zhu; Zhijie Xu; Jin Jin; Benjun Guo; Tukun Li

doi:10.1007/978-3-031-49413-0_85

The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction

Chao Kong, Yuanping Xu, Yue Zhu, Zhijie Xu, Jin Jin, Benjun Guo, Tukun Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In the field of mechanical engineering, standard parts, such as shaft and gear, have standardized tolerance specification design process due to its formalized shapes and dimensions. However, non-standard parts are much more different because their geometrical shape and size are not fixed. Non-standard parts have widely application in automotive and aerospace, and the tolerance specification is mainly dependent on engineer experience and default standards. To this end, this study proposed an ontology-based method of datum reference frame (DRF) for non-standard parts. In this study, a hierarchical tolerance information representation model was constructed. The knowledge reasoning algorithm was established via experience and ISO GPS standards, considering the knowledge isomerism of human engineers, a CAE model was proposed to evaluate the reliability of reasoning results. A case study was conducted to demonstrate the effectiveness of proposed method, the algorithm presented in this paper can be used in the computer-aided tolerance development.

Original language	English
Title of host publication	Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1
Editors	Andrew D. Ball, Huajiang Ouyang, Jyoti K. Sinha, Zuolu Wang
Publisher	Springer, Cham
Pages	1109-1117
Number of pages	9
Volume	151
ISBN (Electronic)	9783031494130
ISBN (Print)	9783031494123, 9783031494154
DOIs	https://doi.org/10.1007/978-3-031-49413-0_85
Publication status	Published - 30 May 2024
Event	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences - Huddersfield, United Kingdom, Huddersfield, United Kingdom Duration: 29 Aug 2023 → 1 Sept 2023 https://unified2023.org/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	151 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences
Abbreviated title	UNIfied 2023
Country/Territory	United Kingdom
City	Huddersfield
Period	29/08/23 → 1/09/23
Internet address	https://unified2023.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

Kong, C., Xu, Y., Zhu, Y., Xu, Z., Jin, J., Guo, B., & Li, T. (2024). The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction. In A. D. Ball, H. Ouyang, J. K. Sinha, & Z. Wang (Eds.), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1 (Vol. 151, pp. 1109-1117). (Mechanisms and Machine Science; Vol. 151 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-49413-0_85

Kong, Chao ; Xu, Yuanping ; Zhu, Yue et al. / The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction. Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. editor / Andrew D. Ball ; Huajiang Ouyang ; Jyoti K. Sinha ; Zuolu Wang. Vol. 151 Springer, Cham, 2024. pp. 1109-1117 (Mechanisms and Machine Science).

@inproceedings{da2762a21df94d269b0545ddd078d64c,

title = "The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction",

abstract = "In the field of mechanical engineering, standard parts, such as shaft and gear, have standardized tolerance specification design process due to its formalized shapes and dimensions. However, non-standard parts are much more different because their geometrical shape and size are not fixed. Non-standard parts have widely application in automotive and aerospace, and the tolerance specification is mainly dependent on engineer experience and default standards. To this end, this study proposed an ontology-based method of datum reference frame (DRF) for non-standard parts. In this study, a hierarchical tolerance information representation model was constructed. The knowledge reasoning algorithm was established via experience and ISO GPS standards, considering the knowledge isomerism of human engineers, a CAE model was proposed to evaluate the reliability of reasoning results. A case study was conducted to demonstrate the effectiveness of proposed method, the algorithm presented in this paper can be used in the computer-aided tolerance development.",

keywords = "CAE evaluation, CAT, DRF, Knowledge reasoning, Non-standard parts, Ontology",

author = "Chao Kong and Yuanping Xu and Yue Zhu and Zhijie Xu and Jin Jin and Benjun Guo and Tukun Li",

note = "Funding Information: This research is supported by the National Natural Science Foundation of China (NSFC) (61203172); the Sichuan Science and Technology Programs (2023NSFSC0361, 2023YFG0311, 2022002). Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, UNIfied 2023 ; Conference date: 29-08-2023 Through 01-09-2023",

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booktitle = "Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1",

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Kong, C, Xu, Y, Zhu, Y, Xu, Z, Jin, J, Guo, B & Li, T 2024, The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction. in AD Ball, H Ouyang, JK Sinha & Z Wang (eds), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. vol. 151, Mechanisms and Machine Science, vol. 151 MMS, Springer, Cham, pp. 1109-1117, The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, Huddersfield, United Kingdom, 29/08/23. https://doi.org/10.1007/978-3-031-49413-0_85

The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction. / Kong, Chao; Xu, Yuanping; Zhu, Yue et al.
Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. ed. / Andrew D. Ball; Huajiang Ouyang; Jyoti K. Sinha; Zuolu Wang. Vol. 151 Springer, Cham, 2024. p. 1109-1117 (Mechanisms and Machine Science; Vol. 151 MMS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction

AU - Kong, Chao

AU - Xu, Yuanping

AU - Zhu, Yue

AU - Xu, Zhijie

AU - Jin, Jin

AU - Guo, Benjun

AU - Li, Tukun

N1 - Funding Information: This research is supported by the National Natural Science Foundation of China (NSFC) (61203172); the Sichuan Science and Technology Programs (2023NSFSC0361, 2023YFG0311, 2022002). Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024/5/30

Y1 - 2024/5/30

N2 - In the field of mechanical engineering, standard parts, such as shaft and gear, have standardized tolerance specification design process due to its formalized shapes and dimensions. However, non-standard parts are much more different because their geometrical shape and size are not fixed. Non-standard parts have widely application in automotive and aerospace, and the tolerance specification is mainly dependent on engineer experience and default standards. To this end, this study proposed an ontology-based method of datum reference frame (DRF) for non-standard parts. In this study, a hierarchical tolerance information representation model was constructed. The knowledge reasoning algorithm was established via experience and ISO GPS standards, considering the knowledge isomerism of human engineers, a CAE model was proposed to evaluate the reliability of reasoning results. A case study was conducted to demonstrate the effectiveness of proposed method, the algorithm presented in this paper can be used in the computer-aided tolerance development.

AB - In the field of mechanical engineering, standard parts, such as shaft and gear, have standardized tolerance specification design process due to its formalized shapes and dimensions. However, non-standard parts are much more different because their geometrical shape and size are not fixed. Non-standard parts have widely application in automotive and aerospace, and the tolerance specification is mainly dependent on engineer experience and default standards. To this end, this study proposed an ontology-based method of datum reference frame (DRF) for non-standard parts. In this study, a hierarchical tolerance information representation model was constructed. The knowledge reasoning algorithm was established via experience and ISO GPS standards, considering the knowledge isomerism of human engineers, a CAE model was proposed to evaluate the reliability of reasoning results. A case study was conducted to demonstrate the effectiveness of proposed method, the algorithm presented in this paper can be used in the computer-aided tolerance development.

KW - CAE evaluation

KW - CAT

KW - DRF

KW - Knowledge reasoning

KW - Non-standard parts

KW - Ontology

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UR - https://doi.org/10.1007/978-3-031-49413-0

U2 - 10.1007/978-3-031-49413-0_85

DO - 10.1007/978-3-031-49413-0_85

M3 - Conference contribution

AN - SCOPUS:85197202230

SN - 9783031494123

SN - 9783031494154

VL - 151

T3 - Mechanisms and Machine Science

SP - 1109

EP - 1117

BT - Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1

A2 - Ball, Andrew D.

A2 - Ouyang, Huajiang

A2 - Sinha, Jyoti K.

A2 - Wang, Zuolu

PB - Springer, Cham

T2 - The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences

Y2 - 29 August 2023 through 1 September 2023

ER -

Kong C, Xu Y, Zhu Y, Xu Z, Jin J, Guo B et al. The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction. In Ball AD, Ouyang H, Sinha JK, Wang Z, editors, Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. Vol. 151. Springer, Cham. 2024. p. 1109-1117. (Mechanisms and Machine Science). Epub 2024 May 29. doi: 10.1007/978-3-031-49413-0_85

The Ontology-Based Semantic Reasoning Method for Non-standard Part Datum Construction

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