Dynamic Correction Analysis and Optimization Model of Gear Pair Based on the Normalization of Gear Modification Parameters

In this paper, a method of condition recognition under multi-gear excitation and a method of structural dynamics model modification based on random combination stiffness of large heavy transmission equipment are studied and proposed, and the modified structural dynamics model is applied to the dynamic reliability analysis of gearbox.Firstly, a variable working condition correction method based on working condition characteristics is proposed.The working condition and other commonly used eigenvalue parameters are normalized to the eigenvalue for training.The relationship model between working condition, characteristic value and correction value is established to identify correction value.The effectiveness of the method is verified by the vibration signal of the gearbox.Secondly, the comprehensive meshing stiffness of gear pair is normalized by Fourier series, and the dynamic correction model of gear pair is established.Finally, the method of structural dynamic model modification is applied to gearbox dynamic reliability analysis, and a research method of gearbox dynamic reliability based on structural dynamic model modification is proposed.An improved dynamic model of gearbox structure is used to predict the vibration response of the actual unmeasured points.The dynamic reliability sensitivity analysis and the dynamic reliability analysis based on the first overtaking failure mechanism of the dangerous parts of the transmission are carried out.The three factors which have the greatest influence on the dynamic reliability of the gearbox are calculated.

Institutions

Publication Details

Journal
Tehnicki vjesnik - Technical Gazette
Published
2024-10-31
DOI
https://doi.org/10.17559/tv-20240619001786
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

Dynamic Correction Analysis and Optimization Model of Gear Pair Based on the Normalization of Gear Modification Parameters

Tehnicki vjesnik - Technical Gazette
Gear and Bearing Dynamics Analysis
article

Dynamic Correction Analysis and Optimization Model of Gear Pair Based on the Normalization of Gear Modification Parameters

article en

Abstract

In this paper, a method of condition recognition under multi-gear excitation and a method of structural dynamics model modification based on random combination stiffness of large heavy transmission equipment are studied and proposed, and the modified structural dynamics model is applied to the dynamic reliability analysis of gearbox.Firstly, a variable working condition correction method based on working condition characteristics is proposed.The working condition and other commonly used eigenvalue parameters are normalized to the eigenvalue for training.The relationship model between working condition, characteristic value and correction value is established to identify correction value.The effectiveness of the method is verified by the vibration signal of the gearbox.Secondly, the comprehensive meshing stiffness of gear pair is normalized by Fourier series, and the dynamic correction model of gear pair is established.Finally, the method of structural dynamic model modification is applied to gearbox dynamic reliability analysis, and a research method of gearbox dynamic reliability based on structural dynamic model modification is proposed.An improved dynamic model of gearbox structure is used to predict the vibration response of the actual unmeasured points.The dynamic reliability sensitivity analysis and the dynamic reliability analysis based on the first overtaking failure mechanism of the dangerous parts of the transmission are carried out.The three factors which have the greatest influence on the dynamic reliability of the gearbox are calculated.

Tehnicki vjesnik - Technical GazetteVol. 31(6)
Changzhou University (CN)
Changzhou University
Openalex Percentile: Top 81%
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.