Ontology-based feature mapping and verification between CAD systems

Tessier, Sean; Wang, Yan

doi:10.1016/j.aei.2012.11.008

Cited by 43 publications

(28 citation statements)

References 29 publications

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“…Also in the future, at least 4 following issues should be investigated furthermore: (1) feature interoperation of grouped elements (matching of m:n); (2) potential applications to 3D printing and the interplay between STL format and CAD format; (3) ontologybased method after absorbing valuable information from reference [74]; (4) integration of security issues from reference [17] into FBDE.…”

Section: Resultsmentioning

confidence: 99%

“…-Using APIs from the source CAD system to retrieve the features and sketches of source model M ; -Exporting an XML [12,74] representation of the source model to the interoperability module; -Converting an XML representation of the source model to an XML representation of the equivalent target model in the interoperability module; -Importing an XML representation of the target model to the target CAD system; -Using APIs from the target CAD system to reconstruct target model M . -Computing the Hausdorff distance between source model M and target model M .…”

Section: The Frame Of Feature-based Interoperabilitymentioning

confidence: 99%

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Quantitative optimization of interoperability during feature-based data exchange

Zhang

Han

et al. 2015

ICA

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Abstract. Sharing feature-based computer-aided design (CAD) models is a challenging problem that is frequently encountered among heterogeneous CAD systems. In this work, a new asymmetric strategy is presented to enrich the theory of feature-based interoperability, particularly when addressing a singular feature or singular sketch. This paper analyzes the semantic asymmetry singular feature interoperability (SA-SFI) and parameter asymmetry singular sketch interoperability (PA-SSI) in detail. We pay special attention to the problem of PA-SSI, which is universally significant in collaborative product development (CPD). The objective of PA-SSI is to develop an optimized model to exchange a singular sketch (spline) to ensure that the exchanged model both maintains high geometric fidelity and can be effectively edited in the target CAD system. The proposed method applies the estimation of distribution algorithm (EDA) to automatically solve this problem, and a Gaussian mixture model (GMM) is built according to the promising solutions. Furthermore, Hausdorff distance is adopted to calculate the fitness, and a local optimization operator is designed to enhance the global search capability of the population. Experimental results demonstrate that the proposed approach can maintain a sufficiently high geometric fidelity, and ensure that the exchanged model of the target CAD system can be parametrically edited.

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Section: Resultsmentioning

confidence: 99%

Section: The Frame Of Feature-based Interoperabilitymentioning

confidence: 99%

Quantitative optimization of interoperability during feature-based data exchange

Zhang

Han

et al. 2015

ICA

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“…There are major two approaches to exchange data among heterogeneous CAD systems: geometry-based data exchange and feature-based data exchange [3]. Geometry-based data exchange is based on neutral data exchange standards (such as IGES, STEP).…”

Section: Introductionmentioning

confidence: 99%

“…Geometry-based data exchange is based on neutral data exchange standards (such as IGES, STEP). Yet the standards have remained largely restricted to the representation of final geometry, causing the design intent portrayed through construction history, features, parameters, and constraints to be discarded in the exchange process [3] . Feature-based data exchange can exchange high level semantic information (design features, parameters, and constraints) in the feature level.…”

Section: Introductionmentioning

confidence: 99%

A Feature-based Method for MBD Model Exchange among Heterogeneous CAD Systems

Xie¹,

Zhao²,

Yu³

et al. 2016

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

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Abstract.To solve the problem that missing feature and non-geometric information when MBD (Model Based Definition) model is exchanged among heterogeneous CAD systems, a feature-based heterogeneous MBD model exchange method is proposed considering geometric feature information, non-geometric information and the association between them. Firstly, use a neutral format to express the feature information and non-geometric information of MBD model and the association between them. Secondly, transform the geometric feature information and engineering note information at the same time and maintain the relationship between them through information extraction and reconstruction by using XML (Extensible Markup Language) file as neutral format. Finally, exchange a structural model of a certain type of aircraft between Pro/E and CATIA to verify the validity of the method.

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“…On the basis of accomplishment of MBD history model data ontology knowledge database, we can transform comparison problems of similarities between different MBD models into the problems of similarity evaluation between MBD model individuals in ontology database [13] . As mentioned above, every individual has geometry feature layer and non-geometry layer, so we give similarity evaluation ways of two layers respectively.…”

Section: Retrieval Algorithmmentioning

confidence: 99%

Ontology Expression of MBD Model and Research on Model Retrieval Technology

Yu¹,

Li²,

Pu³

2017

dtcse

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With the technological progress of Manufacturing technology and digital modeling widely adopted, large-scale equipment manufacture represented by aerospace is phasing in full three dimensional digitalization design and manufacturing methods of product based on MBD (Model Based Definition) [1] . Full three dimensional digitalization design is being carried out in full swing, full three dimensional design standards based on CATIA, UG and Pro/E are constantly improving and has a higher level of application especially in aerospace field, itis gradually getting through the data chain of digitalization design and manufacturing. In real-world application, there are more and more MBD models designed by enterprises, it is becoming a problem to be solved urgently how to reuse the enterprise existing resources effectively, reduce development period of new product and lower the cost and raise modeling efficiency [2] , research and implementation of Ontology modeling and retrieval technology of MBD model is just a solution to the problem.In order to find the right three dimensional CAD model for reuse, many scholars at home and abroad did a lot of researches on three dimensional CAD model retrieval algorithm. Li at al. firstly used CAD model to build Feature Dependency Directed Acyclic Graph, making it possible to search CAD models completely or partly [3] . Zethaban at al. put forward an intelligent CAD model retrieval algorithm based on group technology, using shape codes as description of CAD model and made it possible to retrieve CAD model with GT codes of the user as input [4] . Wang Hongshen at al. transformed partial structure retrieval of CAD model into similarity measurement of component faces of each model, achieving retrieval of partial structure of three dimensional CAD model [5] . Zhang Shuzhen at al. proposed a design resource algorithm of integrated product information models and achieved retrieval by taking into account function and attribute information of CAD model [6] . Firstly, these retrieval methods mainly consider traditional CAD models, and most of them only consider geometrical information of CAD models, some methods consider non-geometrical information as prerequisites, but geometrical information and non-geometrical information are correlative in MBD model, so they failed to clearly reflect reuse value of non-geometrical information; at the same time, these methods gave structural representations of traditional CAD model, but they didn't aim at MBD model integrated with geometrical and non-geometrical information, failing to store and organize these structural information formally and easily to use. In order to make better use of MBD model resource, we adopt ontology technology and take OWL language as semantic descriptors of geometric feature information and non-geometric information in MBD model, then store history MBD models' data as MBD history model data ontology knowledge database [7] , so we can acquire all Ontology Expression of MBD Model and Research on Model Retrieval TechnologyYu Yong, G...

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Ontology-based feature mapping and verification between CAD systems

Cited by 43 publications

References 29 publications

Quantitative optimization of interoperability during feature-based data exchange

Quantitative optimization of interoperability during feature-based data exchange

A Feature-based Method for MBD Model Exchange among Heterogeneous CAD Systems

Ontology Expression of MBD Model and Research on Model Retrieval Technology

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