基于激光视觉传感器的机械零件形貌检测方法

Method for measuring the morphology of mechanical parts based on laser vision sensor

形貌检测一直机械零件加工的关键技术,当前机械零件形貌检测方法存在许多不足,形貌检测误差,耗时比较长,为了获得更加理想的机械零件形貌检测结果,设计了基于激光视觉传感器的机械零件形貌检测方法。首先研究机械零件形貌检测的研究现状,找到引起机械零件形貌检测效果差的原因,然后引入激光视觉传感器对机械零件图进行采集,并对原始图像进行去噪、均衡化处理,提取机械零件形貌检测特征,最后根据特征进行机械零件形貌检测,并进行了机械零件形貌检测仿真测试,结果表明,本方法对零件1的检测误差为3μm,对零件2的检测误差为5μm;对零件1的检测时间为7 ms,对零件2的检测时间为6.5 ms;有效减少了机械零件形貌检测误差,提高了机械零件形貌检测精度,具有更高的实际应用价值。

Morphology detection has always been a key technology in the machining of mechanical parts.Currently,there are many shortcomings in the methods for detecting the morphology of mechanical parts,such as error and time-consuming.In order to obtain more ideal results for detecting the morphology of mechanical parts,a method for detecting the morphology of mechanical parts based on laser vision sensors has been designed.Firstly,the research status of mechanical part morphology detection was studied to find the reasons for the poor performance of mechanical part morphology detection.Then,a laser vision sensor was introduced to collect mechanical part images,and the original images were denoised and equalized to extract mechanical part morphology detection features.Finally,the mechanical part morphology detection was performed based on the features,and a simulation test of mechanical part morphology detection was conducted.The results show that the proposed method has a detection error of 3 μm for part 1 and 5 μm for part 2.The detection time of part 1 is 7 ms,and that of part 2 is 6.5 ms.The error of mechanical parts topography detection is reduced effectively,the accuracy of mechanical parts topography detection is improved,and it has higher practical application value.