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

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, 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 - 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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