零件形状特征的提取与智能识别
Abstraction and Intelligent Recognition of the Shape Feature of the Machine Part
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摘要: 基于实体建模环境,自动识别构成复杂零件的基本体特征,过滤零件的次要结构、工艺结构等特征;利用零件建模过程中先主后次的原则和习惯,自动建立因素集和权重集,利用所提出的结构方向、最佳方向二要素和建立的知识库等,自动识别并提取零件的形状特征,确定符合工程习惯的主视图投影方向.Abstract: An approach to recognize and extract form features from a solid model of machine part is presented.It takes into account the engineering practice of designing a part by first constructing the chief elements and then successively refining the shape by adding subordinate details.The algorithm first filters out the minor structures from the part and builds the factor list with assigned weight to each entity .Through recognizing the main direction of part,choosing its optimum orientation and consulting the knowledge base the principal direction of part is finally determined to generate its front view without human intervention .
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