A method for detection and quantification of meshing characteristics of harmonic drive gears using computer vision
A lack of accurate description of the meshing characteristics and the corresponding frictional mechanism of the harmonic drive gear has limited progress toward modeling the hysteresis stiffness. This paper presents a method for detection and quantifica- tion of the meshing characteristics of the har...
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Published in | Science China. Technological sciences Vol. 59; no. 9; pp. 1305 - 1319 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Beijing
Science China Press
01.09.2016
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | A lack of accurate description of the meshing characteristics and the corresponding frictional mechanism of the harmonic drive gear has limited progress toward modeling the hysteresis stiffness. This paper presents a method for detection and quantifica- tion of the meshing characteristics of the harmonic drive gear based on computer vision. First, an experimental set-up that in- tegrates a high speed camera system with a lighting system is developed, and the image processing is adopted to extract and polish the tooth profiles of the meshed teeth pairs in each acquired video sequence. Next, a physical-mathematical model is es- tablished to determine the relative positions of the selected tooth pair in the process of the gear engagement, and the combined standard uncertainty is utilized to evaluate the accuracy of the calculated kinematics parameters. Last, the kinematics analysis of the gear engagement under the ultra-low speed condition is performed with our method and previous method, and the influ- ence of the input rotational speed on the results is examined. The results validate the effectiveness of our method, and indicate that the conventional method is not available in the future friction analysis. It is also shown that the engaging-in phase is ap- proximately a uniform motion process, the engaging-out phase is a variable motion process, and these characteristics remain unchanged with the variation of the input rotational speed. Our method affords the ability to understand the frictional mecha- nism on the meshed contact surfaces of the harmonic drive gear, and also allows for the dynamic monitoring of the meshing properties. |
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Bibliography: | A lack of accurate description of the meshing characteristics and the corresponding frictional mechanism of the harmonic drive gear has limited progress toward modeling the hysteresis stiffness. This paper presents a method for detection and quantifica- tion of the meshing characteristics of the harmonic drive gear based on computer vision. First, an experimental set-up that in- tegrates a high speed camera system with a lighting system is developed, and the image processing is adopted to extract and polish the tooth profiles of the meshed teeth pairs in each acquired video sequence. Next, a physical-mathematical model is es- tablished to determine the relative positions of the selected tooth pair in the process of the gear engagement, and the combined standard uncertainty is utilized to evaluate the accuracy of the calculated kinematics parameters. Last, the kinematics analysis of the gear engagement under the ultra-low speed condition is performed with our method and previous method, and the influ- ence of the input rotational speed on the results is examined. The results validate the effectiveness of our method, and indicate that the conventional method is not available in the future friction analysis. It is also shown that the engaging-in phase is ap- proximately a uniform motion process, the engaging-out phase is a variable motion process, and these characteristics remain unchanged with the variation of the input rotational speed. Our method affords the ability to understand the frictional mecha- nism on the meshed contact surfaces of the harmonic drive gear, and also allows for the dynamic monitoring of the meshing properties. harmonic drive gear, gear engagement, computer vision, image processing, kinematics analysis, uncertainty analysis 11-5845/TH |
ISSN: | 1674-7321 1869-1900 |
DOI: | 10.1007/s11431-016-6082-6 |