摘要
实现针对深孔类零部件内表面几何参数的准确量化一直是深孔检测领域的研究热点,而内表面凹槽的深度尺寸是其中最重要的参数之一。依托结构光三维检测手段和分量测量原理针对深孔内表面凹槽深度进行定量检测。首先针对深孔类零部件无差别建立其内表面模型和内表面展开模型,并将特定的结构光条纹图案投射到模型内表面;然后借鉴分量测量原理提取采集图像中结构光条纹的横、纵向分量,分析其内在关系并计算分量间的垂直方向距离;最后反推得到图像距离与实际深度间的转换关系。试验结果表明,在内表面模型和内表面展开模型检测环境下最大值与最小值的偏差分别控制在0.027和0.018 mm内,满足系统的精度要求。
The accurate quantization of the geometric parameters of deep hole part inner surface has always been a research hotspot in deep hole detection field,and the depth of inner surface groove is one of the most important parameters.In this paper,based on structured light three dimensional（3 D） test means and component measurement principle（CMP） the depth of the groove on the deep hole inner surface is detected quantitatively.First of all,the pipeline inner-surface model（PIM） and pipeline inner-surface plane model（PIPM） for deep hole part are created,then the specific structured light stripe pattern is projected onto the inner surface of the model.Secondly,the CMP is adopted to extract the transverse and longitudinal components of the structured light stripes in the acquired image;the intrinsic relationship is analyzed and the distance between the components in longitudinal direction is calculated.At last,the conversion relationship between the image distance and actual depth is calculated inversely based on the above data.The experiment results show that the deviations of the maximum and minimum values under PIM and PIPM detection environment are controlled within0.027 and 0.018 mm,respectively.The results meet the accuracy requirement of the system.
作者
丁超
唐力伟
曹立军
邓士杰
刘云峰
Ding Chao;Tang Liwei;Cao Lijun;Deng Shijie;Liu Yunfeng(Army Engineering University, Shijiazhuang 050000, China;The Military Affairs Representative Organization of Army Chongqing Representative Offices Stationed at No. 9804 Factory, Qujing 655000,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2018年第3期54-61,共8页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51575523)项目资助
关键词
结构光
深度测量
分量测量原理
深孔
内表面
structured light
depth measurement
component measurement principle
deep hole
inner surface
