Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity

Assembly precision optimization is an important means to ensure product accuracy, including two aspects: on the one hand, the relevant deviations of out-of-tolerance key characteristics are reduced to the design tolerance range; on the other hand, the deviation fluctuation range of key characteristi...

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Autores principales:	Xiaolin Shi, Xitian Tian, Gangfeng Wang, Dongping Zhao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	assembly precision optimization process capability index ontology semantic SWRL Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/72fcd64213b842afa092e47a2aa52a9a
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id	oai:doaj.org-article:72fcd64213b842afa092e47a2aa52a9a
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spelling	oai:doaj.org-article:72fcd64213b842afa092e47a2aa52a9a2021-11-25T18:12:10ZSemantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity10.3390/machines91102692075-1702https://doaj.org/article/72fcd64213b842afa092e47a2aa52a9a2021-11-01T00:00:00Zhttps://www.mdpi.com/2075-1702/9/11/269https://doaj.org/toc/2075-1702Assembly precision optimization is an important means to ensure product accuracy, including two aspects: on the one hand, the relevant deviations of out-of-tolerance key characteristics are reduced to the design tolerance range; on the other hand, the deviation fluctuation range of key characteristics with a large process capability index (Cp) can be extended to achieve the balance between accuracy, process capacity, and production cost. By virtue of the accumulated experience, a fast solution can be provided for the out-of-tolerance problem. Therefore, a semantic-based assembly precision optimization method considering process capacity is proposed in this paper. By constructing an ontology model between Cp and optimization strategy, a reasonable assembly precision optimization strategy can be pushed based on product accuracy analysis results. Firstly, an assembly precision optimization semantic model is established by association between analysis results, out-of-tolerance key characteristics, assembly process, and tolerance adjustment defined with Web Ontology Language (OWL) assertions. Furtherly, according to different Cp corresponding to different assembly success rates, Semantics Web Rule Language (SWRL) rules based on Cp are constructed to the push optimization strategy. Finally, the effectiveness of the model is illustrated by an aircraft inner flap.Xiaolin ShiXitian TianGangfeng WangDongping ZhaoMDPI AGarticleassembly precision optimizationprocess capability indexontologysemanticSWRLMechanical engineering and machineryTJ1-1570ENMachines, Vol 9, Iss 269, p 269 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	assembly precision optimization process capability index ontology semantic SWRL Mechanical engineering and machinery TJ1-1570
spellingShingle	assembly precision optimization process capability index ontology semantic SWRL Mechanical engineering and machinery TJ1-1570 Xiaolin Shi Xitian Tian Gangfeng Wang Dongping Zhao Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity
description	Assembly precision optimization is an important means to ensure product accuracy, including two aspects: on the one hand, the relevant deviations of out-of-tolerance key characteristics are reduced to the design tolerance range; on the other hand, the deviation fluctuation range of key characteristics with a large process capability index (Cp) can be extended to achieve the balance between accuracy, process capacity, and production cost. By virtue of the accumulated experience, a fast solution can be provided for the out-of-tolerance problem. Therefore, a semantic-based assembly precision optimization method considering process capacity is proposed in this paper. By constructing an ontology model between Cp and optimization strategy, a reasonable assembly precision optimization strategy can be pushed based on product accuracy analysis results. Firstly, an assembly precision optimization semantic model is established by association between analysis results, out-of-tolerance key characteristics, assembly process, and tolerance adjustment defined with Web Ontology Language (OWL) assertions. Furtherly, according to different Cp corresponding to different assembly success rates, Semantics Web Rule Language (SWRL) rules based on Cp are constructed to the push optimization strategy. Finally, the effectiveness of the model is illustrated by an aircraft inner flap.
format	article
author	Xiaolin Shi Xitian Tian Gangfeng Wang Dongping Zhao
author_facet	Xiaolin Shi Xitian Tian Gangfeng Wang Dongping Zhao
author_sort	Xiaolin Shi
title	Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity
title_short	Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity
title_full	Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity
title_fullStr	Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity
title_full_unstemmed	Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity
title_sort	semantic-based assembly precision optimization strategy considering assembly process capacity
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/72fcd64213b842afa092e47a2aa52a9a
work_keys_str_mv	AT xiaolinshi semanticbasedassemblyprecisionoptimizationstrategyconsideringassemblyprocesscapacity AT xitiantian semanticbasedassemblyprecisionoptimizationstrategyconsideringassemblyprocesscapacity AT gangfengwang semanticbasedassemblyprecisionoptimizationstrategyconsideringassemblyprocesscapacity AT dongpingzhao semanticbasedassemblyprecisionoptimizationstrategyconsideringassemblyprocesscapacity
_version_	1718411502846738432

Semantic-Based Assembly Precision Optimization Strategy Considering Assembly Process Capacity

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