An error measurement method of non-circular gear tooth profiles based on digital twin

Abstract Aiming at the problem that it is difficult to measure the profile error of non-circular gears, it is proposed to establish the mathematical model of gear measuring center based on digital twin technology, and research on the detection method of non-circular gear profile error. The precision measurement of tooth profile error is realized by constructing a high-precision digital twin model. According to the transmission characteristics of non-circular gears to calculate the probe running track, write the framework of the Portal program, starting from the angle of tooth profile to calculate the non-circular gear single error, and compare with the data measured by the real gear measuring center. The results show that the maximum error of the total tooth profile error of non-circular gears based on digital twins is 1.786% compared with the actual gear measuring center, the maximum error of the tooth profile shape error is 1.875% compared with the actual measurement, and the maximum error of the tooth profile tilt error is 0.806% compared with the actual measurement. This serves to validate the feasibility and accuracy of this technology in the domain of precision measurement. This approach enhances the efficiency of measurement, reduces the cost of measurement, and provides robust support for gear manufacturing, quality control and optimal design.

Authors

Institutions

Publication Details

Journal
Measurement Science and Technology
Published
2025-05-15
DOI
https://doi.org/10.1088/1361-6501/add956
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An error measurement method of non-circular gear tooth profiles based on digital twin

Xueliang Zhang Xueliang Zhang, Changbin Dong, Yongping Liu, Fuqiang Wang
Measurement Science and Technology
Gear and Bearing Dynamics Analysis
article

An error measurement method of non-circular gear tooth profiles based on digital twin

Xueliang Zhang Xueliang Zhang, Changbin Dong, Yongping Liu, Fuqiang Wang
article en

Abstract

Abstract Aiming at the problem that it is difficult to measure the profile error of non-circular gears, it is proposed to establish the mathematical model of gear measuring center based on digital twin technology, and research on the detection method of non-circular gear profile error. The precision measurement of tooth profile error is realized by constructing a high-precision digital twin model. According to the transmission characteristics of non-circular gears to calculate the probe running track, write the framework of the Portal program, starting from the angle of tooth profile to calculate the non-circular gear single error, and compare with the data measured by the real gear measuring center. The results show that the maximum error of the total tooth profile error of non-circular gears based on digital twins is 1.786% compared with the actual gear measuring center, the maximum error of the tooth profile shape error is 1.875% compared with the actual measurement, and the maximum error of the tooth profile tilt error is 0.806% compared with the actual measurement. This serves to validate the feasibility and accuracy of this technology in the domain of precision measurement. This approach enhances the efficiency of measurement, reduces the cost of measurement, and provides robust support for gear manufacturing, quality control and optimal design.

Measurement Science and TechnologyVol. 36(6)
Wenzhou University (CN), Lanzhou University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 90%
Gear and Bearing Dynamics Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.