Affiliation:
1. School of Mechatronic Engineering, Xi’an Technological University, Xi’an, China
2. National and Local Joint Engineering Research Center for Precision and Ultra-precision Machining and Measurement, Xi’an Technological University, Xi’an, China
3. Shaanxi Province Institute of Water Resources and Electric Power Investigation and Design, Xi’an, China
Abstract
Under high speeds and heavy loads, gear tooth surfaces will be worn, which will lead to accidents. The current wear prediction model is not comprehensive, but the wear prediction model that considers the temperature field and dynamic response can provide more accurate gear wear fault early warning than previous methods. Therefore, according to the Archard model, the discrete wear prediction model of the tooth surface is deduced in this paper, and the wear evolution trend of the tooth surface is predicted and analyzed in each operation stage. The tooth surface temperature field was simulated by the finite-element method, and the tooth surface wear prediction model was improved considering its influence on materials. In addition, the dynamic model of the compound planetary transmission system was established, and the wear prediction model was improved again by using its nonlinear meshing force. Finally, the tooth wear prediction model under the interaction of the dynamic response and temperature field was obtained. A wear measurement method based on duplicate adhesive film was proposed. The wear evolution trend along the tooth length direction and the tooth width direction were measured, and the accuracy of the wear prediction model was verified. The results show that the wear depth along the tooth width direction is larger in the middle part and smaller on both sides under the influence of temperature. After the interference of the dynamic response, the wear depth along the tooth rectangle fluctuates, which is very similar to the results of the theoretical prediction model. It provides a theoretical basis for the early warning of gear health status in practical engineering.
Funder
National Natural Science Foundation of China
International Science and Technology Cooperation and Exchange Key Program of Shaanxi Province
Outstanding Thesis Cultivation Fund of Xi'an University of Technology in 2022