Automatically generating assembly tolerance types with an ontology-based approach

Zhong, Yanru; Qin, Yuchu; Huang, Meifa; Lu, Wenlong; Gao, Wenxiang; Du, Yulu

doi:10.1016/j.cad.2013.06.006

Cited by 56 publications

(60 citation statements)

References 51 publications

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“…The last step is to extract the VGC data instances from CAD systems and translate these instances to OWL 2 DL individuals to construct a set of assertion axioms (ABox) for VGC data. Through these four steps, an OWL 2 DL/SWRL ontology for VGC specifications can be obtained by combining the constructed TBox, RBox and ABox, the designed SWRL rules and the OWL/SWRL ontology for tolerance type specifications in [33]. Benefiting from the rigorous logic-based semantics of OWL 2 DL and SWRL, the semantics of VGC data are greatly enriched in the obtained OWL 2 DL/SWRL ontology.…”

Section: Semantic Enrichment Approachmentioning

confidence: 98%

“…The approach in [5] and the FOCAT system are thus insufficient to satisfy the requirements of exchanging the semantics of variational geometric constraint data. To overcome this limitation, This paper extends the implemented meta-model of tolerance type data [33] by adding the OWL 2 DL/SWRL description of variational geometric constraint data to achieve a semantically enriched ontology of the variational geometric constraint specification data in CAD systems. The semantically enriched ontology is capable of expressing and interpreting the semantics of variational geometric constraint data explicitly, which makes it possible to exchange these semantics among heterogeneous product development systems automatically.…”

Section: Related Workmentioning

confidence: 99%

“…This lays a basis for further exchange of the semantics of the data among heterogeneous product development systems. As the benefits of the meta-model, consistency checking of the existing tolerance type data model and new knowledge inference based on the existing tolerance type data model can be performed through implementing the meta-model with the OWL/SWRL ontology based technologies [33].…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Enriching the semantics of variational geometric constraint data with ontology

Qin

Liu

et al. 2015

Computer-Aided Design

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Section: Semantic Enrichment Approachmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Enriching the semantics of variational geometric constraint data with ontology

Qin

Liu

et al. 2015

Computer-Aided Design

Self Cite

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“…In addition to using OWL ontology to achieve tolerance information representation, Zhong et al [76,77] used OWL ontology to study the automatic generation of assembly tolerance types in CAD systems; Ahmed and Han [78] leveraged OWL to implement the exchange of the tolerance information indicated in CAD systems among heterogeneous CAD systems; and Qin et al [79] designed an OWL ontology supported case-based reasoning approach to assist tolerance specification.…”

Section: Ontology-based Modelmentioning

confidence: 99%

A review of representation models of tolerance information

Qin

et al. 2017

Int J Adv Manuf Technol

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A good representation model of tolerance information is indispensable for achieving computer-aided tolerancing. Currently, the representation model used in industry is the EXPRESS model, while at the same time, a number of other kinds of representation models have been presented within the academia. The coexistence of different kinds of representation models generates a series of questions and discussions: can the EXPRESS model completely implement the representation of tolerance information semantics in an explicit, computer-readable, and computer-interpretable way? What challenges have been addressed to date by the presented representation models? What are the advantages and disadvantages of each representation model? What capabilities should an ideal representation model have? What are the potential research directions in tolerance information representation in the future? To approach these questions, a review of representation models of tolerance information is presented in this paper. An in-depth analysis of existing representation models is firstly provided. Then, the review makes a detailed comparison among them based on this analysis. Finally, some future research directions in tolerance information representation are suggested.

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“…Zhong [22] et al constructed an extended assembly tolerance representation model by introducing a spatial relation layer aiming at reducing the uncertainty and supporting the semantic inter operability in assembly tolerance specification design. The assembly tolerance representational ontology model consisted of three layers: part layer, assembly feature surface layer and spatial relation layer.…”

Section: Related Researchmentioning

confidence: 99%

Ontology Model for Assembly Process Planning Knowledge

Huang

Qiao

Anwer

et al. 2015

Proceedings of the 21st International Conference on Industrial Engineering and Engineering Management 2014

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-Assembly process planning is a highly knowledge-intensive work. As collaborative design and manufacturing is getting increasingly popular especially for complex assembly products, assembly process planning knowledge model should be comprehensive, recognizable and reusable. Ontology meets the requirements as a semantic tool providing a source of shared and precisely defined terms that can be utilized to describe both knowledge and concepts. Many researchers have studied the ontology modeling for assembly process planning domain and they mainly focus on the geometry information, tolerance type and manufacture environment respectively. This paper presents an assembly process design knowledge ontology considering assembly requirement, spatial information, assembly operation and assembly resource. It has covered almost every important concept related to assembly process planning knowledge.

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Automatically generating assembly tolerance types with an ontology-based approach

Cited by 56 publications

References 51 publications

Enriching the semantics of variational geometric constraint data with ontology

Enriching the semantics of variational geometric constraint data with ontology

A review of representation models of tolerance information

Ontology Model for Assembly Process Planning Knowledge

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