LAPSE:2023.12086
Published Article

LAPSE:2023.12086
Optimization of the Quality of the Automatic Transmission Shift and the Power Transmission Characteristics
February 28, 2023
Abstract
We have established a simulation platform for the machine−electro-hydraulic coupling system of the transmission system and the control system to study the root causes of the problems of large shifting impact and slow change of the machine tool transmission system. The dynamic analysis of the gear shift work of the gearbox was carried out, and the main factors affecting its shift instability were studied. With the impact and sliding power as the optimization goals, the shift quality is optimized based on the multi-objective genetic algorithm. Through the shift experiment, it was found that the power interruption phenomenon during the shift process was eliminated after optimization, and the quality of the shift was improved. Simulated planetary row wheel gear meshing force was found in the same gear, and the second planetary row gear meshing force was the largest among the planetary rows. The stress of the node near the top of the tooth is greater than the stress of the node near the node circle and the root of the tooth, and the two sides of the tooth top are relatively larger than the intermediate stress. The dynamic simulation model of the planetary gearbox system with rigid−soft hybrid can obtain the stress distribution of the solar wheel at the maximum impact moment and the stationary stage, as well as the dynamic stress of the key nodes of the solar wheel, which lays the foundation for the fatigue strength and life prediction of the gear system.
We have established a simulation platform for the machine−electro-hydraulic coupling system of the transmission system and the control system to study the root causes of the problems of large shifting impact and slow change of the machine tool transmission system. The dynamic analysis of the gear shift work of the gearbox was carried out, and the main factors affecting its shift instability were studied. With the impact and sliding power as the optimization goals, the shift quality is optimized based on the multi-objective genetic algorithm. Through the shift experiment, it was found that the power interruption phenomenon during the shift process was eliminated after optimization, and the quality of the shift was improved. Simulated planetary row wheel gear meshing force was found in the same gear, and the second planetary row gear meshing force was the largest among the planetary rows. The stress of the node near the top of the tooth is greater than the stress of the node near the node circle and the root of the tooth, and the two sides of the tooth top are relatively larger than the intermediate stress. The dynamic simulation model of the planetary gearbox system with rigid−soft hybrid can obtain the stress distribution of the solar wheel at the maximum impact moment and the stationary stage, as well as the dynamic stress of the key nodes of the solar wheel, which lays the foundation for the fatigue strength and life prediction of the gear system.
Record ID
Keywords
Genetic Algorithm, machine tool gearbox, multi-objective optimization, shift quality, shift test
Subject
Suggested Citation
Zhang Q, Liu X. Optimization of the Quality of the Automatic Transmission Shift and the Power Transmission Characteristics. (2023). LAPSE:2023.12086
Author Affiliations
Zhang Q: Ningbo Research Institute, Zhejiang University, Ningbo 315100, China; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
Liu X: Ningbo Research Institute, Zhejiang University, Ningbo 315100, China; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China [ORCID]
Liu X: Ningbo Research Institute, Zhejiang University, Ningbo 315100, China; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China [ORCID]
Journal Name
Energies
Volume
15
Issue
13
First Page
4672
Year
2022
Publication Date
2022-06-25
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15134672, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.12086
This Record
External Link

https://doi.org/10.3390/en15134672
Publisher Version
Download
Meta
Record Statistics
Record Views
218
Version History
[v1] (Original Submission)
Feb 28, 2023
Verified by curator on
Feb 28, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.12086
Record Owner
Auto Uploader for LAPSE
Links to Related Works
