1. 中国航发中传机械有限公司,长沙,410200
2. 西北工业大学航空发动机高性能制造工信部重点实验室,西安,710072
3. 西北工业大学硬质合金全国重点实验室,西安,710072
纸质出版:2026
移动端阅览
唐成, 刘国亮, 杨建华, 等. 基于图和特征结构树的三维模型孔特征识别技术研究[J]. 航空制造技术, 2026,69(7).
TANG Cheng, LIU Guoliang, YANG Jianhua, et al. Research on 3D Model Hole Feature Recognition Technique Based on Graph and Feature Structure Tree[J]. Aeronautical Manufacturing Technology, 2026, 69(7).
唐成, 刘国亮, 杨建华, 等. 基于图和特征结构树的三维模型孔特征识别技术研究[J]. 航空制造技术, 2026,69(7). DOI: 10.16080/j.issn1671-833x.25020127.
TANG Cheng, LIU Guoliang, YANG Jianhua, et al. Research on 3D Model Hole Feature Recognition Technique Based on Graph and Feature Structure Tree[J]. Aeronautical Manufacturing Technology, 2026, 69(7). DOI: 10.16080/j.issn1671-833x.25020127.
航空发动机的机匣、壳体和复杂结构件存在大量孔加工数控编程需求,但由于孔数量众多,采用现有软件编程时易出现部分孔编程遗漏的问题,且不便于分类或分组编程,导致编程人员需反复检查核对,严重影响工作效率。因此,实现孔特征的自动识别与自动编程,已成为企业亟待解决的关键技术难题。针对上述问题,提出一种基于图与特征结构树的三维模型孔特征自动识别方法,以及轴向优先的分组规则。基于零件CAD 三维模型,进行了分类、定义和数据结构的定义。基于边界表示法建立了零件、体、面和边等几何元素的结构图及路径结构树。基于图论的遍历搜索算法提取模型中面和边的几何信息,基于面、边和相邻面的约束关系,创建孔的特征结构树。利用图论遍历搜索算法提取模型中面与边的几何信息,结合面、边及相邻面的约束关系,构建孔特征结构树。将模型遍历得到的几何元素结构图中路径结构树,与定义的特征结构树类型进行比对,判定孔特征的具体类型,并采用轴向优先规则完成孔特征分组。开发的软件模块试验结果表明,孔特征的识别率达100%,为后续孔特征的加工奠定了基础,避免了数控编程人员在编程中遗漏部分孔的问题。
The casings
housings
and complex structural components of the aero-engines pose significant demands for hole machining. However
certain holes are frequently overlooked during CNC programming
resulting in machining discrepancies and delays in production schedules. Consequently
the automatic recognition and programming of holes have become critical challenges for enterprises. To address this issue
a 3D model hole feature recognition method based on graph theory and a feature structure tree is proposed
and an axial priority grouping rule is presented. Initially
hole features are categorized based on the CAD 3D model of the part. A graph structure of geometric elements—including parts
bodies
surfaces
and edges—is constructed using a graph traversal algorithm and feature matching method. Subsequently
geometric information regarding surfaces and edges is extracted using boundary representation
followed by a hierarchical search of surfaces
edges
and adjacent surfaces to construct the feature structure tree for holes. Finally
the path structure tree in the extracted geometric element graph is compared with the predefined types of feature structure tree to ascertain the specific type of hole feature
and the axial priority rule is proposed for grouping. Experimental results from the developed software module show that the recognition rate of hole features reaches 100%
establishing a solid foundation for subsequent hole machining and preventing CNC programmers from missing any holes during programming.
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