从边界表示模型中去除混合

S. Venkataraman, M. Sohoni, Rahul Rajadhyaksha
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引用次数: 39

摘要

本文报道了一种从边界表示(B-rep)实体模型中删除混合(或圆角)的算法。混合删除通常作为特征识别的第一步,因为它简化了识别体积特征的模型。该算法处理几种混合类型,包括面-面,面-边和顶点混合。它还处理共混物与其他共混物和/或体积特征的相互作用。该方法的主要特点是在预测最终拓扑时使用了底层混合结构。与早期的人脸删除方法相比,这导致了更少的交集和更大的可预测性,特别是对于大型混合网络。该算法的另一个独特之处是在某些混合删除情况下重建新面孔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Removal of blends from boundary representation models
This paper reports an algorithm for deletion of blends (or fillets) from Boundary Representation (B-rep) solid models. Blend deletion is usually performed as the first step in feature recognition since it simplifies the model for recognition of volumetric features. The algorithm handles several blend types that include face-face, face-edge and vertex blends. It also handles interactions of blends with other blends and/or volumetric features. The main feature of our approach is the usage of the underlying blend structure in predicting the final topology. This results in fewer intersections and greater predictability than earlier face-deletion approaches, especially for large blend networks. Another unique feature of our algorithm is the recreation of new faces in certain situations of blend deletion.
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