Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions
Wear is the main failure form in the gear transmission process. The increased wear will increase the non-linear backlash of the gear teeth, reduce the transmission accuracy and increase the impact force of the tooth surface, which will lead to aggravated vibration of the gear transmission system, an...
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Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2024-01-01
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Series: | Jixie chuandong |
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Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.01.021 |
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author | Tang Aiwu Chen Tianyou |
author_facet | Tang Aiwu Chen Tianyou |
author_sort | Tang Aiwu |
collection | DOAJ |
description | Wear is the main failure form in the gear transmission process. The increased wear will increase the non-linear backlash of the gear teeth, reduce the transmission accuracy and increase the impact force of the tooth surface, which will lead to aggravated vibration of the gear transmission system, and impose great impact on the gear transmission performance and the stable operation of the equipment. In order to solve the above problems, a method for predicting the wear amount in the gear transmission process under complex working conditions is proposed. The gear wear state is identified and determined based on the formal wear index. Through in-depth analysis of the gear wear mechanism, a typical gear wear process curve is drawn based on this, the gear transmission friction torque value is calculated, and a mathematical model of the gear wear amount is built; then the known gear state values are input into the construction model, the predicted gear wear amount is obtained, and the prediction of gear wear amount is realized. The experimental results show that under three complex working conditions, the prediction simulation data proposed in this study is closer to the actual parameters, which fully verifies that the prediction accuracy of the wear amount is higher. |
format | Article |
id | doaj-art-12ae9f69b0934b9790a9213cb8837aae |
institution | Kabale University |
issn | 1004-2539 |
language | zho |
publishDate | 2024-01-01 |
publisher | Editorial Office of Journal of Mechanical Transmission |
record_format | Article |
series | Jixie chuandong |
spelling | doaj-art-12ae9f69b0934b9790a9213cb8837aae2025-01-10T15:02:05ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392024-01-014814315048025361Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working ConditionsTang AiwuChen TianyouWear is the main failure form in the gear transmission process. The increased wear will increase the non-linear backlash of the gear teeth, reduce the transmission accuracy and increase the impact force of the tooth surface, which will lead to aggravated vibration of the gear transmission system, and impose great impact on the gear transmission performance and the stable operation of the equipment. In order to solve the above problems, a method for predicting the wear amount in the gear transmission process under complex working conditions is proposed. The gear wear state is identified and determined based on the formal wear index. Through in-depth analysis of the gear wear mechanism, a typical gear wear process curve is drawn based on this, the gear transmission friction torque value is calculated, and a mathematical model of the gear wear amount is built; then the known gear state values are input into the construction model, the predicted gear wear amount is obtained, and the prediction of gear wear amount is realized. The experimental results show that under three complex working conditions, the prediction simulation data proposed in this study is closer to the actual parameters, which fully verifies that the prediction accuracy of the wear amount is higher.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.01.021Complex working conditionsGear transmissionState identificationWear amountCalculation and predictionPrediction accuracy |
spellingShingle | Tang Aiwu Chen Tianyou Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions Jixie chuandong Complex working conditions Gear transmission State identification Wear amount Calculation and prediction Prediction accuracy |
title | Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions |
title_full | Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions |
title_fullStr | Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions |
title_full_unstemmed | Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions |
title_short | Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions |
title_sort | research on prediction of wear amount in the gear transmission process under complex working conditions |
topic | Complex working conditions Gear transmission State identification Wear amount Calculation and prediction Prediction accuracy |
url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.01.021 |
work_keys_str_mv | AT tangaiwu researchonpredictionofwearamountinthegeartransmissionprocessundercomplexworkingconditions AT chentianyou researchonpredictionofwearamountinthegeartransmissionprocessundercomplexworkingconditions |