基于轻量化模型的加工特征识别技术

Machining Feature Recognition Based on Lightweight Model

为有效提取轻量化模型中的加工特征,在分析轻量化模型的基础上,建立了面向特征的轻量化数据模型,并提出了基于轻量化模型的加工特征识别方法。通过设计轻量化模型的几何信息提取算法,建立了轻量化模型的边界表示模型;给出了一个判断表面间邻接关系的算法,建立了零件的属性邻接图;通过对属性邻接图进行二次分解,实现了对凸出类特征和凹陷类特征的识别。最后,通过一个实例验证了方法的可行性和有效性。

To extract machining feature from lightweight model effectively,after analyzing the data structure of lightweight model,a feature-oriented lightweight model was established,and a machining feature recognition method based on lightweight model was proposed.Firstly,the boundary representation（B-rep）of the lightweight model was set up by designing the algorithm of extracting geometrical information from lightweight model.Then the AAG was constructed by giving a method of judging adjacency relationship between surfaces.And then a new AAG decomposition method was put forward,which successfully resolved both protrusion features and depression features.Finally,a sample application was developed to illustrate the feasibility and validity of the method proposed.