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As the working interface of tapered roller bearing, the raceway surface quality directly affects the working performance and service life of bearings. In order to improve the surface quality of tapered roller bearing inner raceway grinding, improve the processing efficiency, and optimize the processing parameters, this paper conducted a study on the surface roughness of the inner raceway of the outer ring of tapered roller bearings during grinding, and established a prediction model for the grinding surface roughness. Firstly, the surface topography of grinding wheel was defined by using grinding wheel parameters. Secondly, the surface roughness prediction model of bearing raceway grinding was established based on the conversion relationship between bearing raceway grinding and surface grinding and the motion trajectory of particles on grinding wheel surface. Finally, the accuracy and rationality of the model were verified by using the current industrial process parameters of grinding bearing raceway through the grinding experiments. Based on the experimental and simulation results of grinding surface roughness, the influence law of grinding wheel linear speed, workpiece speed, and grinding depth on surface roughness was explored, and the surface roughness under high grinding wheel linear speed was predicted. The research results provide a theoretical basis for optimizing surface quality of tapered roller bearing outer ring inner raceway grinding. It is found that the surface roughness decreases with the increase of grinding wheel linear speed and the decrease of workpiece speed and grinding depth. The surface roughness at high linear speed of grinding wheel is predicted. The results show that when the workpiece speed is 300 rpm and the grinding depth is 0.3 μm, the surface roughness decreases from 0.259 to 0.208 μm as the grinding wheel linear speed increases from 60 to 100 m s −1 , which can provide theoretical guidance for further improving the surface quality.

To solve the problem of low matching efficiency of inner and outer rings during tapered roller bearing assembly, a BP neural network based on the Whale optimization algorithm (WOA) was constructed. Firstly, the influencing factors of the assembly height of tapered roller bearings are identified and taken as input parameters, and the assembly height is taken as output. Then, the BP neural network is optimized by the WOA algorithm, and the high prediction model of the tapered roller bearing assembly is established. Finally, the real results are compared to the predicted data. We can obtain that the determination coefficient of the assembly height prediction model is 0.9985, and the overall error is less than 0.0051%, which can accurately predict the assembly height of the tapered roller bearing.

Defects in the bearings greatly affect vibrations and performances of rotating transmission systems. Moreover, most previous works estimated the defect shape as a regular shape. However, the actual defect shape is not actually regular. To obtain more accurate vibration characteristics of a defective double row cylindrical roller bearing, an irregular-shaped defect modeling method and a dynamic model of double row cylindrical roller bearing with irregular-shaped defects are proposed in this paper. The dynamic model includes all components and their interactions. A test verification is proposed to validate the established model. The effects of the bearing load, rotating speed, and different independent shape defect sizes on the double row cylindrical roller bearing vibrations are investigated. The comparisons of vibrations between the irregular defect shape and simplified defect shape are studied. The results show that the simplified defect shape model will cause the vibrations to be overestimated. The established dynamic model with the actual defect is more reasonable than the simplified defect model. Moreover, this paper can provide a comprehensive analytical method for double row cylindrical roller bearing vibrations.

With the rapid development of China’s social economy, the technology for oil and gas resource development is also continuously upgrading. In this process, various problems have emerged in special wells such as deep wells, high-angle wells, and horizontal wells. This paper mainly utilizes finite element simulation technology to simulate the mechanical performance of a certain drilling bearing under different working conditions, thereby effectively reducing the development cost and production cycle of the bearing. This paper models a certain drilling bearing, then theoretically analyzes its contact stress, and finally sets finite element parameters according to the working conditions and performs finite element analysis.

Rolling bearings are extensively employed in the modern machinery industry and are critical industrial base elements. The machining accuracy of bearing rolling elements has a great impact on the service performance of rolling bearings. In this work, advances in the ultra-precision machining of bearing rolling elements are summarized, and corresponding outlooks are presented. An introduction to the accuracy requirement of the rolling element and the corresponding basic principles are first discussed. Subsequently, advancements in the ultra-precision machining of bearing balls are reviewed and analysed. Meanwhile, research progress on the ultra-precision machining of bearing rollers is also summarized and compared with the investigations on bearing balls. It is demonstrated that due to the absence of an intercomparison effect in the machining process, the batch accuracy of the bearing roller is lower than that of the bearing ball. Furthermore, more attention should be given to the machining accuracy of the crown profile and spherical datum surface of the bearing roller. Finally, in regard to the above academic achievements, conclusions and outlooks on the ultra-precision machining of bearing rolling elements are given. The advances and outlooks summarized in this work are beneficial to both academic scientists and industrial researchers.

In the presented work, a parametric multibody simulation model is presented that is capable of predicting the friction torque and kinematics of tapered roller bearings. For a highly accurate prediction of bearing friction, consideration of solid and lubricant friction is mandatory. For tapered roller bearings in particular, the friction in the contact between the rolling element and raceway is of importance. Friction forces in the contact between the rolling element end face and inner ring rib as well as roller cage pocket contacts are also considered in the model. A large number of tests were carried out to validate the model in terms of the simulated frictional torque. Influencing variables such as speed, axial load, radial load, and temperature were investigated. The simulation results show good agreement with the measured friction torque, which confirms that the model is well suited to predict frictional torques and therefore the kinematics of tapered roller bearings.

The Effects of raceway convexities on friction moment of tapered roller bearings were studied in this paper. A new theoretical model of friction torque of tapered roller bearings was established considering the roughness and convexities of inner and outer ring raceways. Friction between roller and raceways were analyzed under the condition of elastohydrodynamic lubrication. Based on the theoretical model and experiments, the changes of friction torque with respected to raceway convexities of tapered roller bearings were obtained. The results show that the friction moment decreases with the increase of raceway convexities, while the increase of raceway convexity leads to the increase of contact stress. Therefore, the convexity values should be balanced between friction torque and contact stress. The convexity values should be balanced between friction torque and contact stress. The optimum values of the bearing being measured raceway convexities should be 5 ~ 6μm under the test conditions.

A coordinate system is established for heavy-duty double-row tapered roller bearings to simulate deformation under load by considering axial clearance through coordinate transformation. Equilibrium equations are formulated based on deformation compatibility conditions and solved to determine the load distribution on each roller. Engineering logarithmic curves are used to modify the rollers and raceways, introducing modification coefficients. Contact stress between rollers and inner and outer raceways is analyzed by using finite-length contact theory. A fatigue life model is developed, incorporating a stress concentration correction function to calculate the bearing’s fatigue life. Analysis of a heavy truck hub bearing shows that roller modification or dual modification of inner and outer raceways enhances fatigue life. The optimal axial clearance for these bearings is -0.075 mm, maximizing fatigue life by 24.1% compared to 0 mm clearance.

Tapered roller bearings often experience thermal deformation and stress concentration due to high temperature during prolonged operation. However, the traditional model for calculating bearing heat does not consider the thermal elastohydrodynamic behavior of the lubricant. To address this issue, this paper proposes a finite line contact model based on thermal elastohydrodynamic lubrication analysis for calculating the temperature distribution of the lubricant within tapered roller bearings. The temperature of the lubricant is solved using the column-by-column technique. The results show that the temperature distributions along the thickness of the oil film are symmetrical, with the highest temperature occurring at the middle layer. Furthermore, the temperature at the middle layer increases with both the bearing speed and the concentrated load. These findings provide a theoretical framework for calculating the temperature distribution of lubricated bearings, offering valuable insights for practical applications.

Purpose This paper aims to investigate the influence of various laser texture parameters (diameter of pit, depth of pit and area density) on the tribological and tribo-vibration characteristics of tapered roller bearings (TRBs) under full oil lubricate conditions. Design/methodology/approach The laser surface texture parameters include: the diameter of pit (D: 60 µm, 100 µm, 200 µm), the depth of pit (H: 5 µm, 10 µm, 20 µm) and the area density (S: 6%, 12%, 24%). The outer raceway used laser marking device to prepare many regular pits. The tribological and tribo-vibration characteristics of pitting laser textured TRBs under full oil lubrication were studied by using the MMX-1A universal wear tester machine and vibration testing equipment. Through experiment and analysis, the effects of raceway pitting textures on tribological and tribo-vibration noise performance of TRBs were summarized. Findings When pit-textured TRBs operate under full oil, compared with the non-textured bearings, the average coefficient of friction and wear amount are significantly reduced. When D = 100 µm, H = 10 µm, S = 12%, average coefficient of friction = 0.00195 and wear amount = 0.12 mg, they are all at their minimum values. Compared to the same condition of non-textured groups, the coefficient of friction decreases by 66.6%, and the wear amount decreases by 79.3%. The energy from time-frequency and power spectrum analyses is mainly concentrated at high frequencies, with the signal power of pitting textured groups being lower than non-textured when the Y-direction is around 3600 Hz. Originality/value The experimental work can provide a reference for the investigation on the pitting textured TRBs. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0357/