• 论文 •    

基于图的体积分解的加工特征识别方法

刘长毅   

  1. 南京航空航天大学 机电学院, 江苏南京210016
  • 出版日期:2006-07-15 发布日期:2006-07-25

Machining feature recognition based on graph volume decomposition

LIU Chang-yi   

  1. Sch. of Electromechanical Eng., Nanjing Univ. of Aeronautics & Astronautics, Nanjing210016, China
  • Online:2006-07-15 Published:2006-07-25

摘要: 为有效提取实体边界模型中的2.5维加工特征,提出了一种实用、可行的特征识别方法。该方法参考毛坯的实际加工过程,从零件毛坯模型中分解出待加工体积;沿待加工体积的进刀方向逐层分解出局部组合特征;依据局部组合特征顶面凹凸性特点,进一步分解,重新组合为通用型加工特征;匹配特征相互关系,构成特征关系图。研究了每个步骤的相应算法,这些算法以基于图的布尔运算为基础,通过特征边界的重构,形成完整的特征边界,并最终生成体积特征。该方法适用于与设计下游单元的有效集成。通过对典型2.5维加工零件的测试,证明了该方法的有效性和实用性。

关键词: 加工特征, 特征识别, 属性邻接图

Abstract: To extract 2.5 dimension machining feature from solid boundary model effectively, an available and feasible feature recognition approach was proposed. Referring to the actual machining procedure of the rough, the approach was composed of a series of steps, which included the ready to be machined volumes decomposition from the rough solid model, local composition feature recognition and extraction along the tool-feeding direction by tier, the generic feature composition was formed by redecomposing and recomposing the local composition feature according to the concave and convex of top face,and the feature relationship tree was constructed and created by matching relationships among features. The related algorithm to every step was given. These algorithms were based on graph-based Boolean operation, and the volume features were created by reconfiguring the feature boundary to find rounded feature boundary. This approach was suit to the integration with downstream units, such as Computer Aided Manufacturing(CAM).It was tested through typical 2.5 dimension machining part to illuminate the validity and practicability of the method.

Key words: machining feature, feature recognition, attribute adjacent graph, volume decomposition

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