A Robust Modeling Method For Six-corner Astigmatism Veins Based On Feature Recognition In CATIA Plantform

With the continuous reduction of the production cycle of the automobile products and the increase of the individual requirements of the customers,the automobile enterprises are faced with the challenge of developing new products more quickly.As the main retrofit assembly,the production and design directly of lighting and signal device affects the development cycle and costs of replacement of the vehicle product.There are a huge number of astigmatism veins in irregular distribution on the lump,and its design work not only spend a lot of time,and prone to the product defects caused by the product defects of the relevant structure.Therefore,in order to adapt to the dynamic needs of the automotive market,astigmatism veins modeling technology must be on the way to change,so as to gradually toward the automation,integration,intelligent development,using the fastest speed and the lowest cost to strive to the best quality products.Based on the needs of the blend design of six-corner fake astigmatism veins from Shanghai Koito Automotive Lamp Co.,Ltd.(SKOITO),this paper studies the application situation of lighting automatic modeling and feature recognition method,and then puts forward the six-corner fake astigmatism veins blend parameterized modeling method based on feature.Also,paper developed a robust modling system of six-corner fake astigmatism veins based on CATIA platform using CATIA-CAA technology.On the basis of feature recognition,this system fullfill the rapid design and stable update of six-corner fake astigmatism veins,and thus inprove efficiency and stability of blending modeling.In order to minimize the defect range of the blend model and improve the stability of the blend modeling of six-corner fake astigmatism veins,the paper analyzes the causes of the defects of the different types in the process of blend modeling,and puts forward parametric modeling method based on the basic clipping unit feature.In this method,the defective region is separated from the non-defective region by extracting the feature of the basic clipping unit feature,thus reducing the cutting range of the blend and combining the parametric association mechanism,thus avoiding the modeling failure caused by the cutting failure.Based on the parametric modeling method of basic clipping unit feature,this paper combines the fecture recognition technology of basic cropping unit,and realizes the reconstruction of the basic unit of six-corner fake astigmatism veins and the self-identification of cutting direction.Based on the structural design of six-corner fake astigmatism veins,this technique can extract the relevant topological and geometric information,and use this information to realize the fast searching and accurate identification of the clipping unit feature,so as to improve the validity and stability of the feature recognition,and then to ensure high efficiency and stability of the six-corner fake astigmatism veins modeling system.At the end of this paper,a set of the six-corner fake astigmatism veins automation modeling system was developed.The efficiency and stability of the system are verified with the design example of six-corner fake astigmatism veins modeling by using this system to realize the rapid blend modeling of six-corner fake astigmatism vein and the comparison with the traditional design method.