|
|
Comprehensive Measurement of Cycloid Gear Accuracy Based on Machine Vision |
YIN Wan-wan,ZHAO Wen-hui,ZHANG Jing |
School of Mechanical Engineering,Shenyang University of Technology,Shenyang,Liaoning 110870, China |
|
|
Abstract In order to solve the problems of less information acquisition and slow measurement speed in cycloid gear detection, a comprehensive measurement method based on machine vision is proposed. According to the measurement accuracy requirements of cycloid gear, the visual detection hardware system is built. Fitting Facet gray surface along edge tangential window, the sub-pixel coordinate points are determined by using edge continuous surface features, and the positioning accuracy is 0.2pixel by measuring block detection. By pixel equivalent calibration, light intensity compensation and coordinate transformation, the sub-pixel tooth profile of cycloid gear is obtained in physical coordinate system. Compared with the cycloid profile measured by CMM, the difference of cycloid profile obtained is 10μm. According to the tooth profile equation of cycloid gear, the error calculation model of cycloid gear is established by combining rectangular coordinates and polar coordinates, and the tooth profile deviation and tooth pitch deviation are calculated. At the same time, the diameter of the center hole and the two crankshaft holes of cycloid gear are evaluated, and the relationship between tooth profile deviation and polar angle is obtained, which provides the basis for improving the processing technology of cycloid gear and analyzing the transmission performance of RV reducer. The whole measurement process takes about 16s.
|
Received: 11 February 2022
Published: 25 June 2023
|
|
|
|
|
[1] |
何卫东, 单丽君. RV减速器研究现状与展望[J]. 大连交通大学学报, 2016, 37(5): 13-18.
|
|
Deng X Z, Zhang Y Z, Li T X, et al. Present Research Situation and Technological Problem Need to solve of the Accuracy Control of Cycloidal-pinwheel Transmission used on RV Reducer[J]. Journal of Mechanical Transmission, 2015, 39(2): 162-165.
|
[4] |
王娴. 摆线齿轮极坐标跟踪测量技术的研究[D]. 天津: 天津大学, 2009.
|
[5] |
梁巍, 王建华. 摆线齿轮齿廓的法向极坐标测量及误差分析[J]. 西安工业大学学报, 2015, 35(10): 795-800.
|
[6] |
王笑一, 石照耀, 林家春. 基于全齿廓信息的齿距偏差快速测量方法[J]. 仪器仪表学报, 2016, 37(10): 2202-2210.
|
|
He W D, Shan L J. Status and Development of RV reducer[J]. Journal of Dalian Jiaotong University, 2016, 37(5): 13-18.
|
|
Liang W, Wang J H. Measuring Tooth profile of Cycloidal Gear in Normal Polar Coordinate and Analysis of Normal Deviation[J]. Journal of Xi'an Technological University, 2015, 35(10): 795-800.
|
|
Wang X Y, Shi Z Y, Lin J C. Fast measure method for pitch deviation based on full tooth profile information[J]. Chinese Journal of Scientific Instrument, 2016, 37(10): 2202-2210.
|
|
Bao N S, Fang H T. Continuous Motion Thread Size Detection with Adaptive Machine Vision[J]. Acta Metrologica Sinica, 2020, 41(9): 1062-1069.
|
|
Xing X L, Gan W B, Jiang C G. Technology of Size Detection of Air Rivets Based on Machine Vision[J]. Acta Metrologica Sinica, 2020, 41(5): 518-523.
|
[10] |
黄振峰, 程丽丽, 卢旺威. 基于机器视觉的摆线齿轮参数测量系统[J]. 机床与液压, 2014, 42(11): 86-89.
|
|
Huang Z F, Cheng L L, Lu W W. Measuring System of Cycloid Gear Parameters Based on Machine Vision[J]. Machine Tool & Hydraulics, 2014, 42(11): 86-89.
|
[12] |
赵文辉, 段振云, 赵文珍, 等. 基于机器视觉的微米级2D零件自动检测系统[J]. 组合机床与自动化加工技术, 2012(9): 52-55.
|
[13] |
段振云, 王宁, 赵文辉, 等. 基于高斯积分曲线拟合的亚像素边缘提取算法[J]. 计量学报, 2016, 37(4): 371-374.
|
[14] |
段振云, 王宁, 赵文辉, 等. 基于点阵标定板的视觉测量系统的标定方法[J]. 光学学报, 2016, 36(5): 151-159.
|
|
测量算法[J].计量学报,2021,42(4):451-457.
|
|
Hong T, Cheng C. Visual On-line Measurement Algorithm
|
|
Condition [J]. Acta Metrologica Sinica, 2021, 42(4):
|
[16] |
王宁. 齿轮视觉测量系统与齿廓测量技术研究[D]. 沈阳: 沈阳工业大学, 2017.
|
|
料计数方法研究[J].计量学报,2022,43(7):863-868.
|
|
Algorithm[J]. Acta Metrologica Sinica, 2022, 43(7):
|
[2] |
邓效忠, 张艳珍, 李天兴, 等. RV减速器摆线针轮传动精度控制的研究现状及需要解决的技术问题[J]. 机械传动, 2015, 39(2): 162-165.
|
[8] |
邢雪亮, 甘文波, 蒋朝根. 基于机器视觉的航空铆钉尺寸检测技术[J]. 计量学报, 2020, 41(5): 518-523.
|
|
Duan Z Y, Wang N, Zhao W H, et al. Algorithm of Sub-pixel Edge Detection Based on Gauss Integral Curve Fitting[J]. Acta Metrologica Sinica, 2016, 37(4): 371-374.
|
[17] |
韩硕, 陈晓荣,张彩霞,等.基于改进模板匹配算法的物
|
86 |
3-868.
|
|
Zhou J X, Li T X, Wei B Y, et al. A New Measuring Method of Manufacturing Error for Cycloidal Gear of Robot RV Reducer[J]. Journal of Mechanical Trans-mission, 2017, 41(11): 153-158.
|
[3] |
Li T X, Zhou J X, Deng X Z, et al. A manufacturing error measurement methodology for a rotary vector reducer cycloidal gear based on a gear measuring center[J]. Measurement Science & Technology, 2018, 29(7): 1-16.
|
[7] |
包能胜, 方海涛. 连续运动螺纹尺寸自适应机器视觉检测[J]. 计量学报, 2020, 41(9): 1062-1069.
|
[9] |
孔盛杰, 黄翔, 周蒯, 等. 基于机器视觉的齿形结构齿顶圆检测方法[J]. 仪器仪表学报, 2021, 42(4): 247-255.
|
|
Zhao W H, Duan Z Y, Zhao W Z, et al. Reserch on Micron-sized 2D Measurement System Based on Machine Vision[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2012(9): 52-55.
|
|
Duan Z Y, Wang N, Zhao W H, et al. Calibration Method Based on Lattice Calibration Plate in Vision Measurement System[J]. Acta Optica Sinica, 2016, 36(5): 151-159.
|
45 |
1-457.
|
|
Han S, Chen X R, Zhang C X, et al.Research on Material
|
[19] |
JB/T 104109-2005, 摆线针轮行星传动摆线齿轮和针轮精度[S].
|
|
Kong S J, Huang X, Zhou K, et al. Detection method of addendum circle of gear structure based on machine vision[J]. Chinese Journal of Scientific Instrument, 2021, 42(4): 247-255.
|
[11] |
张杨. 基于激光扫描的摆线齿轮齿廓测量技术的研究[D]. 西安: 西安工业大学, 2019.
|
[15] |
洪涛,程诚.振动条件下的尼龙拉链厚度尺寸视觉在线
|
|
for Thickness Dimension of Nylon Zipper under Vibration
|
|
Counting Method Based onImproved Template Matching
|
[18] |
周军香, 李天兴, 魏冰阳, 等. 机器人RV减速器摆线轮制造误差测量新方法[J]. 机械传动, 2017, 41(11): 153-158.
|
|
|
|