Key Technologies of Machine Vision for Precision Measuring of Profile Deviations

In this paper novel measuring methods for profile deviation are proposed based on machine vision. After the tangent point of the basic circle and the normal line of the tooth profile through a sampled point are obtained, angles of vectors determining by the tangent point and the discrete points of t...

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Main Authors: Dongyuan Ge, Xifan Yao, Wenjiang Xiang, Haizhi Wang, Min Liu, Xuejun Wen
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2019-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.02.031
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author Dongyuan Ge
Xifan Yao
Wenjiang Xiang
Haizhi Wang
Min Liu
Xuejun Wen
author_facet Dongyuan Ge
Xifan Yao
Wenjiang Xiang
Haizhi Wang
Min Liu
Xuejun Wen
author_sort Dongyuan Ge
collection DOAJ
description In this paper novel measuring methods for profile deviation are proposed based on machine vision. After the tangent point of the basic circle and the normal line of the tooth profile through a sampled point are obtained, angles of vectors determining by the tangent point and the discrete points of the corresponding theoretical involute are obtained. Then the intersection point between the normal line of the tooth profile through a sampled point and the theoretical involute is obtained by using the operations of "comparison" and "XOR". Finally profile deviations are measured in the normal direction of the profile involute, which makes the tested results be consistent with its definitions. In the experiment, the obtained profile deviation is 6.944 3 μm, which demonstrates the proposed method of profile deviations test based on machine vision can meets the need of precision in engineering practice.
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spelling doaj.art-10efc62cb6e84700b37e21d296066c0b2023-05-26T09:52:35ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-01-014317117630638564Key Technologies of Machine Vision for Precision Measuring of Profile DeviationsDongyuan GeXifan YaoWenjiang XiangHaizhi WangMin LiuXuejun WenIn this paper novel measuring methods for profile deviation are proposed based on machine vision. After the tangent point of the basic circle and the normal line of the tooth profile through a sampled point are obtained, angles of vectors determining by the tangent point and the discrete points of the corresponding theoretical involute are obtained. Then the intersection point between the normal line of the tooth profile through a sampled point and the theoretical involute is obtained by using the operations of "comparison" and "XOR". Finally profile deviations are measured in the normal direction of the profile involute, which makes the tested results be consistent with its definitions. In the experiment, the obtained profile deviation is 6.944 3 μm, which demonstrates the proposed method of profile deviations test based on machine vision can meets the need of precision in engineering practice.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.02.031Machine vision;Involute;Modulus;Tooth number;Profile deviation
spellingShingle Dongyuan Ge
Xifan Yao
Wenjiang Xiang
Haizhi Wang
Min Liu
Xuejun Wen
Key Technologies of Machine Vision for Precision Measuring of Profile Deviations
Jixie chuandong
Machine vision;Involute;Modulus;Tooth number;Profile deviation
title Key Technologies of Machine Vision for Precision Measuring of Profile Deviations
title_full Key Technologies of Machine Vision for Precision Measuring of Profile Deviations
title_fullStr Key Technologies of Machine Vision for Precision Measuring of Profile Deviations
title_full_unstemmed Key Technologies of Machine Vision for Precision Measuring of Profile Deviations
title_short Key Technologies of Machine Vision for Precision Measuring of Profile Deviations
title_sort key technologies of machine vision for precision measuring of profile deviations
topic Machine vision;Involute;Modulus;Tooth number;Profile deviation
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.02.031
work_keys_str_mv AT dongyuange keytechnologiesofmachinevisionforprecisionmeasuringofprofiledeviations
AT xifanyao keytechnologiesofmachinevisionforprecisionmeasuringofprofiledeviations
AT wenjiangxiang keytechnologiesofmachinevisionforprecisionmeasuringofprofiledeviations
AT haizhiwang keytechnologiesofmachinevisionforprecisionmeasuringofprofiledeviations
AT minliu keytechnologiesofmachinevisionforprecisionmeasuringofprofiledeviations
AT xuejunwen keytechnologiesofmachinevisionforprecisionmeasuringofprofiledeviations