高精密齿轮角度偏差的智能视觉校对仿真  被引量:2

Intelligent Vision Calibration Simulation of High Precision Gear Angle Deviation

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作  者:刘兴 李珂 LIU Xing;LI Ke(Guangdong Polytechnic Normal University,Guangdong Guangzhou 510000,China)

机构地区:[1]广东技术师范大学,广东广州510000

出  处:《计算机仿真》2021年第1期366-370,共5页Computer Simulation

基  金:教学改革研究项目(ZD201802)。

摘  要:传统方法在进行齿轮角度偏差校对时,未构建齿轮三维重建模型,存在高精密齿轮角度校对准确率较低、校对时间过长问题。提出高精密齿轮角度偏差的智能视觉校对仿真方法,有效解决以上问题。通过白光干涉仪提取高精密齿轮实际齿面轮廓角度偏差特征信号,获取齿轮实际齿面轮廓角度偏差信号数据,其中角度偏差信号数据包括波高偏差数据与波距偏差数据。利用CATIA软件构建含有角度偏差的高精密齿轮模型。对高精密齿轮实施系统标定,获取校正角度偏差后高精密齿轮的投影仪坐标与相机坐标,实现齿轮角度模型三维重建,从而实现高精密齿轮角度偏差的智能视觉校对。为验证设计方法的齿轮角度偏差校对效果,设计对比实验。实验结果表明,智能视觉校对方法的校对准确率较低高于原有方法,且齿轮角度偏差的校对时间明显降低。对于高精密齿轮质量的提升有很大意义。Traditionally,the method does not build a 3 D reconstruction model of gear when correcting the gear angle deviation,leading to low accuracy of high-precision gear angle correction.Therefore,a simulation of intelligent vision calibration for angle deviation of high-precision gear was proposed.Firstly,the white light interferometer was used to extract the characteristic signal of angle deviation of actual gear-tooth surface,and thus the signal data of angle deviation were obtained.The angle deviation signal data included the wave height deviation data and the wave distance deviation data.Secondly,CATIA software was used to build a high-precision gear model with angular deviation.Thirdly,the system calibration was performed on high-precision gears,and then the projector coordinates and camera coordinates of the high-precision gears after correcting the angle deviation were obtained,so that the three-dimensional reconstruction of gear angle model and the intelligent vision calibration of the angle deviation were completed.Simulation results show that the accuracy of the proposed method is higher than that of the existing method,and the calibration time of angle deviation of gear is significantly reduced.This method has great significance to improve the quality of high-precision gears.

关 键 词:高精密齿轮 角度偏差 智能视觉校对 白光干涉仪 系统标定 

分 类 号:TP202.2[自动化与计算机技术—检测技术与自动化装置]

 

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