Ontology-based Axiomatic System Design Semantic Modeling and Reasoning Rules

被引：0

作者：

Wang H. ^{[1
]}

Li H. ^{[1
]}

Wen X. ^{[1
]}

机构：

[1] School of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou

来源：

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2021年 / 57卷 / 05期

关键词：

Axiomatic design; Ontology; Reasoning rules; Semantic web technology; System design;

D O I：

10.3901/JME.2021.05.205

中图分类号：

学科分类号：

摘要：

Two significant features of intelligent manufacturing and model-based systems engineering (MBSE) are machine-readable and automatic reasoning capabilities of system design. However, the systems modeling langue is not sufficient to represent semantics and support automatic reasoning. First, for enabling the machine-readable capability of system modeling of complex products, based on previous work-axiomatic model-based systems engineering (A-MBSD), a semantic model named A-MBSD ontology for system design is constructed. OWL2 (Web ontology language 2) is used to specify semantic relationships of system design. Second, in order to realize automatic reasoning capability, SWRL (Semantic web rule language) is used to formally represent design axioms and rules that support functional couplings identification and optimal design solution selection. The result of system design of a satellite solar wing shows that A-MBSD Ontology can represent design semantics, and corresponding rules are able to infer functional couplings of current design and help designer to select the optimal design solution, which can avoid rework due to identifying couplings in the late experiment stage. © 2021 Journal of Mechanical Engineering.

引用

页码：205 / 221

页数：16

共 32 条

[1]

KAPURCH STEPHEN J., NASA systems engineering handbook, (2010)

[2]

DAVID D, GARRY J., Systems engineering handbook: A guide for system life cycle processes and activities, (2015)

[3]

BENTLEY L D, DITTMAN K C, WHITTEN J L., Systems analysis and design methods, (2000)

[4]

WANG Kunsheng, YUAN Jianhua, CHEN Hongtao, Et al., Research and practice of foreign model-based system engineering methods, Aerospace China, 11, pp. 52-57, (2013)

[5]

SUN Yu, MA Li, Model-based systems engineering and systems modeling language, Computer Knowledge and Technology: Academic Communication, 7, 31, pp. 7780-7783, (2011)

[6]

YI Ran, AVIC 2015 informatization work conference held in Beijing, Aeronautical Manufacturing Technology, 14, pp. 18-18, (2015)

[7]

LU Yongxiang, ZHOU Ji, China manufacturing 2025 key area technology roadmap, National Manufacturing Strategy Advisory Committee, (2015)

[8]

GROGAN P T, DE WECK O L., Collaboration and complexity: An experiment on the effect of multi-actor coupled design, Research in Engineering Design, 27, 3, pp. 221-235, (2016)

[9]

MHENNI F, CHOLEY J Y, PENAS O, Et al., A SysML-based methodology for mechatronic systems architectural design, Advanced Engineering Informatics, 28, 3, pp. 218-231, (2014)

[10]

ESTEFAN J A., Survey of model-based systems engineering (MBSE) methodologies, INCOSE MBSE Focus Group, 25, 8, pp. 1-47, (2007)

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