Dynamics-Based Thermal Analysis of High-Speed Angular Contact Ball Bearings with Under-Race Lubrication

Self Cite

The traction motor is a crucial component of high-speed electric multiple units, and its operational reliability is directly impacted by the temperature increase in the bearings. To accurately predict and simulate the temperature change process of traction motor bearings during operation, a fluid–solid–thermal simulation analysis model of grease-lubricated deep groove ball bearings was constructed. This model aimed to simulate the temperature rise of the bearing and the grease flow process, which was validated through experiments. The results from the simulation analysis and tests indicate that the temperature in the contact zone between the bearing rolling element and the raceway, as well as the ring temperature, initially increases to a peak and then gradually decreases, eventually stabilizing once the bearing’s heat generation power and heat transfer power reach equilibrium. Furthermore, the established fluid–solid–thermal coupling simulation analysis model can accurately predict the amount of grease required for effective lubrication in the bearing cavity, which stabilizes along with the bearing temperature. The findings of this research can serve as a theoretical foundation and technical support for monitoring the health status of high-speed EMU traction motor bearings.

Section: Heat Generation Modelmentioning

confidence: 99%

“…The algorithm flow chart is shown in Figure 3. Firstly, the working condition parameters and structure parameters of the bearing are input, and the differential equations of bearing dynamics are established [30]. The Runge-Kutta method is used to solve.…”

Section: Establishment Of Coupling Analysis Modelmentioning

confidence: 99%

Simulation Analysis and Experimental Study on the Fluid–Solid–Thermal Coupling of Traction Motor Bearings

Wang,

Li,

Jin

et al. 2024

Self Cite

“…In the case of grease-lubricated current-carrying bearings guided by steel balls, the power consumption generated during operation is a combination of various factors. These include friction power consumption caused by elastic hysteresis between steel balls and raceways, friction power consumption caused by differential sliding between steel balls and raceways, friction power consumption caused by spin sliding of steel balls, friction power consumption between steel balls and cages, and friction power consumption caused by oil film viscosity loss [21]. Additionally, current-carrying bearings may experience electrical energy losses due to the shaft current.…”

Section: Calculation Model Of Bearing Heat Sourcementioning

confidence: 99%

“…Analyzing the temperature field of the bearing is an important step in evaluating its performance indicators. Lei J. et al [21] developed a steady-state calculation model for bearings using the thermal network method. They considered various factors that affect the friction power consumption of bearing components.…”

Section: Introductionmentioning

confidence: 99%

Simulation Analysis and Experimental Research on Electric Thermal Coupling of Current Bearing

Wang,

Mao,

Tian

et al. 2024

Self Cite

With the advancement of industries such as high-speed railways, new energy vehicles, and wind power, bearings are frequently exposed to various electric field environments, leading to the need for lubricating oil films of bearings to withstand voltage. One of the major issues caused by the breakdown discharge process of the lubricating oil film in bearings is the generation of local instantaneous high temperatures. This temperature rise is a key factor contributing to problems such as high operating temperature of bearings, surface damage in the contact area, and degradation of lubrication performance. This research article focuses on the comprehensive influence of bearing friction and electrical factors. It establishes a heat source calculation model and a temperature field simulation model specifically for current-carrying bearings. This study analyzes both the overall temperature rise of bearings and the local temperature rise resulting from breakdown discharge. Furthermore, the accuracy of the simulation analysis is verified through experiments. The temperature field simulation and experimental results consistently indicate that electrical environmental factors can cause an increase in the overall temperature rise of a bearing. Additionally, the breakdown and discharge of the lubricating oil film generate local instantaneous high temperatures in the contact area of the bearing.

“…Kim et al [9] used the overall method of calculating the heat generation rate of angular-contact ball bearings, and analyzed the effects of radial load and rotational speed on the frictional torque of the bearings. Lei et al [10] proposed a calculation method for determining the differential sliding-friction heat generation rate of high-speed ball bearings based on elastohydrodynamic lubrication and micro-contact theory, and calculated the frictional shear stress and differential sliding-friction heat generation rate of contact between the ball and raceway. The error between the calculated results using this model and the calculated results based on the towing dynamic test was less than 5%.…”

Section: Introductionmentioning

confidence: 99%

Test Method for Rapid Prediction of Steady-State Temperature of Outer Rings of Bearings under Grease Lubrication Conditions

Xia,

Yang,

et al. 2024

Temperature has a great influence on the stability of bearing performance. For the study of bearing steady-state temperature, this paper proposes a test method to quickly predict the steady-state temperature of the outer ring of a bearing, which solves the problems in traditional theoretical calculations and simulation analysis methods such as the large number of calculations, complex models, and large errors. Firstly, a mathematical prediction model is established according to the bearing temperature-rise law; then, a bearing steady-state temperature detection device is designed; and finally, the prediction model parameters are solved according to the experimental results, and experimental verification is carried out. It is shown that the prediction model has high accuracy under different load and speed conditions, and the error between the predicted steady-state temperature and the tested steady-state temperature is less than 0.7 °C. This prediction method reduces the single test time of the same speed to 60 min, which greatly improves the efficiency of the temperature detection test. The steady-state temperature model has important theoretical significance in guiding the study of the limiting speed of bearings.