Casting three-dimensional model classification method combining D2 operator and normal operator

Abstract

The invention belongs to the field of casting three-dimensional model classification, and particularly discloses a casting three-dimensional model classification method combining a D2 operator and a normal operator, which comprises the following steps of: performing triangular faceting on various casting three-dimensional models; respectively adopting the D2 operator and the normal operator to obtain a D2 feature descriptor and an N2 feature descriptor of the casting three-dimensional model; then, according to the initial types of the castings, obtaining D2 and N2 type feature descriptors of all types of castings; and finally, calculating the similarity between the to-be-classified casting three-dimensional model and each type of three-dimensional model by utilizing a similarity measurement function, and classifying the casting three-dimensional models according to the similarity. According to the method, the category of the new casting can be identified based on the established database, the intelligent degree of casting process design is improved, a good feature identification effect is achieved for common casting categories, the casting type can be effectively judged, and the process reuse problem of castings of the same type is solved.

Description

Technical field[0001]The invention belongs to the field of three-dimensional model classification of castings, and more specifically, relates to a three-dimensional model classification method of castings that combines a D2 operator and a normal operator.Background technique[0002]Intelligent production mode is the goal pursued by foundry enterprises. Among them, casting process design is a leading link, and it is of great significance to realize the intelligentization of casting process design.[0003]At this stage, the product design mode of foundry companies is mostly experience-driven, and the quality of process design depends on the experience of the designer; this manual-based knowledge retrieval method has a low reuse rate for the mature process plan of the company, resulting in a low process design effect. As 3D models are used more and more widely in casting production, the number and types of models are becoming more abundant, the advantages of model reuse technology in the p...

AI Technical Summary

Problems solved by technology

[0003] At present, the product design mode of foundry enterprises is mostly experience-driven, and the quality of process design depends on the experience of designers; this kind of manual knowledge retrieval method has a low reuse rate for mature process plans of enterprises, resulting in low process design. effect

As 3D models are more and more widely used in casting production, the number and types of models are becoming more and more abundant, and the advantages of model reuse technology in the process design process are becoming more and more obvious, and the enterprise database has a large number of design materials, historical processes , 3D casting models and other professional materials are a wealth of historical experience and achievements, but they have not been efficiently managed and reused

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