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FEATURE SHAPE RECOGNITION TOOLS DEDICATED TO A DESIGN FOR ASSEMBLY METHODOLOGY

机译:专用于组装方法设计的功能形状识别工具

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摘要

This paper presents an automatic feature shape recogniser tool for a Design For Assembly (DFA) methodology. For each part of a product, this feature research is performed into two steps. First, weight, dimensions and symmetries are identified and the part is classified as rotational or not. Second, form features, like steps or grooves, are extracted in order to estimate the orientation efficiency of the part. To fulfil first step requirements, an optimal bounding box, in the context of DFA, is found using the boundary representation (B-Rep) model of the part. The proposed algorithm is based on a topological exploration and on geometric properties of faces. 2D features identification step operates on a simple vertex-edge polyhedral model of the part. On every plane projection, along an axis of the bounding box, outer wire analysis serves as starting point for the 2D feature recognition. Finally, a 2D feature selection procedure, that optimises the orientation efficiency, is presented. All these algorithms are implemented in "FuzzyDFA", an assembly-oriented computer aided design software that takes advantage of a fuzzy decision support system.
机译:本文介绍了一种用于装配设计(DFA)方法的自动特征形状识别工具。对于产品的每个部分,此功能研究均分为两个步骤。首先,确定重量,尺寸和对称性,并将零件分类为可旋转或不可旋转。其次,提取形状特征,例如台阶或凹槽,以估计零件的定向效率。为了满足第一步的要求,使用零件的边界表示(B-Rep)模型在DFA中找到了一个最佳边界框。所提出的算法基于拓扑探索和面的几何特性。 2D特征识别步骤对零件的简单顶点边缘多面体模型进行操作。在沿边界框的轴的每个平面投影上,外部导线分析均用作2D特征识别的起点。最后,提出了一种二维特征选择程序,该程序优化了定向效率。所有这些算法都在“ FuzzyDFA”中实现,FuzzyDFA是一种面向装配的计算机辅助设计软件,它利用了模糊决策支持系统。

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