Ontology Expression of MBD Model and Research on Model Retrieval Technology

Abstract

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...