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基于STL数据处理的钣金检验特征识别

Sheet Metal Inspection Feature Recognition Based on STL Data Processing

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【作者】 宋义知何利郝博

【Author】 SONG Yi-zhi;HE Li;HAO Bo;School of Mechanical Engineering,Shenyang Ligong University;Liaoning Mechatronics College;

【机构】 沈阳理工大学机械工程学院辽宁机电职业技术学院

【摘要】 针对CATIA对航空钣金零件的设计数模,应用CATIA二次开发工具,直接提取钣金零件的STL点云数据.基于CATIA平台,采用VC++6.0工具和CATIA的API函数,对提取的STL点云建立拓扑关系.基于高斯曲率进行曲面特征识别,提取钣金件的特征,并对检验方法进行规划,在实际的运用中提高了钣金零件的加工设计效率,使得产品开发周期缩短近30%,降低了加工成本,节约了能源和人力,实现了加工的高效性和精确性.

【Abstract】 In view of the CATIA design mathematical model of aircraft sheet metal parts,this paper directly extracts sheet metal parts of the STL point cloud data using CATIA secondary development tools CAA. Besides,based on CATIA platform,using VC+ +6. 0 tool and CATIA API function to extract the STL point cloud based on the fast algorithm,this paper also established topological relationship and topologica lrely on surface feature recognition based on Gaussian curvature and extracts the features of sheet metal parts,and planning of inspection method.Furthmore,this paper used the actual operation to improve the efficiency of the process design of sheet metal parts,makes the product development cycle shorten nearly 30%,reduced the processing cost,saving energy and manpower,to achieve the efficiency and accuracy of processing.

【基金】 国家自然科学基金资助项目(61170146)
  • 【文献出处】 成组技术与生产现代化 ,Group Technology & Production Modernization , 编辑部邮箱 ,2016年01期
  • 【分类号】TP391.41
  • 【被引频次】1
  • 【下载频次】116
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