Three-dimensional CAD Model Retrieval Algorithm Based on ...www.researchgate.net › publication › fulltext › Three-dim

ScienceDirect Procedia CIRP 56 (2016) 590 – 593

9th International Conference on Digital Enterprise Technology - DET 2016 – “Intelligent Manufacturing in the Knowledge Economy Era

Three-dimensional CAD Model Retrieval Algorithm Based on Ontology Huang Mingconga,*, Sui Shaocuna, Mou Wenpinga, Zhangshusheng b, Cao wenjuna a

AVIC ChengDu Aircraft Industrial (Group) CO., LTD, Huangtianba Qingyang District, ChengDu 610091, P.R China b Northwestern Polytechnical University, 127 # You Yi West Rd, Xi’an 710072, P.R. China

* Corresponding author. Tel.: +86-158-028-05093;. E-mail address: [email protected]

Abstract For resolving problems such as how the user implement three-dimensional CAD model retrievals and how to reuse the retrieval results during the smart process planning, this paper present an ontology -based algorithm for three-dimensional CAD model retrieval. The CAD model is segmented into several relevant sub-parts. Then, attach semantic descriptions and annotations to these sub-parts. Finally, evaluate the similarity of the models based on the semantic ontology 3D CAD model. The experimental results show the efficiency of this method to meet the requirements of engineering retrieval and reuse of design and manufactureˊ TheAuthors. Authors. Published by Elsevier B.V.is an open access article under the CC BY-NC-ND license © 2016The © 2016 Published by Elsevier B.V. This Peer-review under responsibility of the Scientific Committee of the “9th International Conference on Digital Enterprise Technology - DET (http://creativecommons.org/licenses/by-nc-nd/4.0/). 2016. Peer-review under responsibility of the scientific committee of the 5th CIRP Global Web Conference Research and Innovation for Future Production Keywords: CAD model retrieval; reuse; semantic ontology; MBD

1. Introduction Because of the continuous development of MBD technologies, 3D model retrieval technique is now widely used in CAD/CAM. Furthermore, it has become an important part of the research of MPEG-73D model standard. The content-based retrieval of 3D model, which can use the features to index and retrieval directly, has broken through the limitations of the traditional retrieval methods employing keywords. However, we note that the study of 3D retrieval is still at the experimen t al stage and amount of previous work about content-based 3D retrieval has been done by many scholars. In[1], 3D shape retrieval techniques are classified into the following categories based on shape representations: (a) global feature-based; (b) manufacturing feature recognition-based; (c) graph-based; (d) histogram-based; (e)product information-based; and (f)3D object recognition-based. But content-based retrieval, which uses the human perception and understanding of the 3D model to evaluate the similarity between two models, also has its own limitations because the existence of “the semantic gap” between the visual feature and the semantic information. The current retrieval methods prefer to take visual features into consideration rather than the semantic information for the

following two main reasons: (1) It is hard for us to express the design intent accurately. Since, design parameters and functions of the model are difficult to be described accurately no matter using the sketch or the model itself as the retrieval access. (2)The lack of semantic knowledge for reusing. The content-based retrieval only returns the related 3D models , making it difficult for the user to get the features’ semantic knowledge related to the CAD model from the retrieval result. At present, lots of scholars have begun doing many researches [2.3.4] in semantic retrieval on 3D model, but there are few researches on 3D CAD model. Furthermore, studying in semantic retrieval on 3D CAD model can offer a more targeted approach to reuse the knowledge of the relevant CAD models . A 3D CAD model can be defined in 4 levels: geometric level, structure level, feature level and semantic level. However, most retrieval methods cannot describe sufficient information of a CAD model on the structure level, feature level and semantic level. They use the single information which got from the shape and would be simplified by some principles to carry out a retrieval. Such as using the histogram organized by the geometric attribute of the CAD model. In this paper, we study the 3D CAD model retrieval on the feature level and the semantic level. Also, the CAD model’s information about

2212-8271 © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the scientific committee of the 5th CIRP Global Web Conference Research and Innovation for Future Production doi:10.1016/j.procir.2016.10.116

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Huang Mingcong et al. / Procedia CIRP 56 (2016) 590 – 593

feature, topology, geometric and semantic is employed. The CAD model should be segmented into relevant sub -parts (features or partial structures) that will be described and labeled by the semantic information of the model later.