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

^*Corresponding author for this work

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

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, Zuolu Wang, Huajiang Ouyang, Jyoti K. Sinha
Publisher	Springer Science and Business Media B.V.
Pages	1109-1117
Number of pages	9
ISBN (Print)	9783031494123
DOIs	https://doi.org/10.1007/978-3-031-49413-0_85
Publication status	Published - 2024
Externally published	Yes
Event	UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023 - Huddersfield, United Kingdom Duration: 29 Aug 2023 → 1 Sept 2023

Publication series

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

Conference

Conference	UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023
Country/Territory	United Kingdom
City	Huddersfield
Period	29/08/23 → 1/09/23

Keywords

CAE evaluation
CAT
DRF
Knowledge reasoning
Non-standard parts
Ontology

Access to Document

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

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, Z. Wang, H. Ouyang, & J. K. Sinha (Eds.), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1 (pp. 1109-1117). (Mechanisms and Machine Science; Vol. 151 MMS). Springer Science and Business Media B.V.. 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 ; Zuolu Wang ; Huajiang Ouyang ; Jyoti K. Sinha. Springer Science and Business Media B.V., 2024. pp. 1109-1117 (Mechanisms and Machine Science).

@inproceedings{12bdfe0213d549c98ba2d0281eb651ad,

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 = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023 ; Conference date: 29-08-2023 Through 01-09-2023",

year = "2024",

doi = "10.1007/978-3-031-49413-0_85",

language = "English",

isbn = "9783031494123",

series = "Mechanisms and Machine Science",

publisher = "Springer Science and Business Media B.V.",

pages = "1109--1117",

editor = "Ball, {Andrew D.} and Zuolu Wang and Huajiang Ouyang and Sinha, {Jyoti K.}",

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

}

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, Z Wang, H Ouyang & JK Sinha (eds), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. Mechanisms and Machine Science, vol. 151 MMS, Springer Science and Business Media B.V., pp. 1109-1117, UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023, 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; Zuolu Wang; Huajiang Ouyang; Jyoti K. Sinha. Springer Science and Business Media B.V., 2024. p. 1109-1117 (Mechanisms and Machine Science; Vol. 151 MMS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › 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 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

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.

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KW - CAT

KW - DRF

KW - Knowledge reasoning

KW - Non-standard parts

KW - Ontology

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SN - 9783031494123

T3 - Mechanisms and Machine Science

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

A2 - Ball, Andrew D.

A2 - Wang, Zuolu

A2 - Ouyang, Huajiang

A2 - Sinha, Jyoti K.

PB - Springer Science and Business Media B.V.

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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, Wang Z, Ouyang H, Sinha JK, editors, Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. Springer Science and Business Media B.V. 2024. p. 1109-1117. (Mechanisms and Machine Science). 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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