工业CT的高铁齿轮箱体材料缺陷识别

Material casting defect recognition of high-speed train gearbox shell based on industrial CT technology

高铁齿轮箱是高速列车的重要部件,为保障高铁的安全、稳定运行,需要对高铁齿轮箱箱体出厂及检修时的铸件内部缺陷进行检验,并对箱体内部缺陷实现自动、准确的分类和识别.基于此利用三维工业CT技术,设计实验获取到高铁齿轮箱体材料的4种内部缺陷的三维体数据,根据齿轮箱体内部缺陷的物理背景知识,对三维体数据进行特征提取,设计Adaboost_BTSVM多分类算法,实现基于三维工业CT的箱体材料内部缺陷的自动分类识别,并使重点关注的收缩类缺陷的分类准确率达到85%以上、裂纹类缺陷的分类准确率达到100%,为实现高铁齿轮箱箱体材料的缺陷自动识别提供技术保障.

High-speed train gearbox shell is an important component of high-speed train. In order to protect the operational safety of high-speed train gearbox shell,it is needed to detect the casting internal defect as product testing and maintenance inspection accurately and rapidly. In this paper,based on three-dimensional CT technology the test was developed to detect the casting defects of high-speed train gearbox shell; through the analysis of threedimensional data of the four kinds detects,three-dimensional geometric features and characteristic values were obtained,and the Adaboost_BTSVM algorithm were used to achieve the automatic classification of casting defects of high-speed train gearbox shell. The according classification accuracy of shrinkage defects can be 85%,and the classification accuracy of crack defects can stand at 100%. These will provide an available automatic identification method for the defect of high-speed train gearbox shell.