摘要
针对目前较为落后的减振器活塞杆表面微裂纹的密度查数方式,利用基于LabVIEW机器视觉模块,开发出一款明显提升了微裂纹密度查数的速度与精度的自动化查数系统。大量的实践证明,此系统稳定可靠。
Aiming at the relatively backward density counting method of micro-cracks on the piston rod surface of shock absorber, an automatic counting system was developed based on LabVIEW machine vision module, by which the speed and precision of counting micro-cracks were improved greatly. A large number of practices prove that the system is stable and reliable.
作者
苏春阳
孙晓帮
王天利
李欢
马子卿
邱亚男
SU Chunyang;SUN Xiaobang;WANG Tianli;LI Huan;MA Ziqing;QIU Yanan(Automobile&Transportation Engineering College,Liaoning University of Technology,Jinzhou Liaoning 121001,China;Jinzhou Wanyou Mechanical Parts Co.,Ltd.,Jinzhou Liaoning 121000,China)
出处
《机床与液压》
北大核心
2020年第10期97-100,共4页
Machine Tool & Hydraulics
基金
国家自然科学基金青年科学基金项目(51605213)。
关键词
微裂纹
机器视觉
密度查数
自动化
Micro-crack
Machine vision
Density check
Automation
