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Study on the algorithms of holes feature recognition in auto body panels based on UG

机译:基于UG的汽车体面板孔特征识别算法研究

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Feature recognition is the key technology in establishing auto body panel CAPP system. For regular parts, it has made great achievements in features recognition, which has laid a foundation for feature recognition for complex shape parts, such as auto body panels. This paper has classified holes feature into two-dimensional holes, three-dimensional holes and special holes according to its forming and function properties, and established process expression mode of holes feature on account of the requirement of CAPP system. Algorithms have been developed for holes feature recognition based on recognition rules making use of geometric features of holes' boundary in UG software, two-dimensional holes and three-dimensional holes can be automatically distinguished, circle holes and non circle holes can also be differentiated automatically, further more, the algorithms can give radius of circle hole and minimum radius of curvature of shaped hole' boundaries.
机译:功能识别是建立自动主体面板CAPP系统的关键技术。对于常规零件,它在特征识别方面取得了很大的成就,它已经为复杂形状部件(例如汽车主体面板)的特征识别奠定了基础。本文根据其成型和功能属性,将孔特征分为二维孔,三维孔和特殊孔,并根据CAPP系统的要求,建立了孔洞功能的流程表达方式。已经开发了基于识别规则的孔功能识别的算法,利用UG软件中的孔边界的几何特征,可以自动区分二维孔和三维孔,圆孔和非圆孔也可以自动区分另外,算法可以给出圆孔的半径和成形孔边界的最小曲率半径。

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