Experimental testing and thermal analysis of ball bearings

Takabi, Jafar; Khonsari, M. M.

doi:10.1016/j.triboint.2012.10.009

Cited by 159 publications

(106 citation statements)

References 26 publications

Supporting

Mentioning

104

Contrasting

Unclassified

Order By: Relevance

“…The bearing speed is 8000r/min, the DN value of the ball bearing work reaches 4×10 5 , and the lubrication flow rate is 3L/min. When the injection speed is 10m/s, the temperature distribution in the bearing cavity is shown in figure 2.…”

Section: Numerical Results and Analysis Of Two Phase Flow In Bearingsmentioning

confidence: 99%

“…The paper of Pinel et al [1][2][3] studied the bearing temperature and power loss with the increase of the amount of oil, with increasing the amount of oil bearing, low temperature rise, but at the same time, the greater the friction stir oil, it should choose the proper amount of lubricating oil. Li Bin [4][5][6] has experimentally investigated the characteristics of two phase flow and heat transfer in the bearing cavity by experiments and simulations. As early as the 60s of the last century, the idea of heat transfer was applied to calculate the temperature of rolling bearings by Harris and Burton [7].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Study on Two Phase Flow Heat Transfer of High Speed Bearings by Injection Lubrication

Li¹,

Zeng²,

Huang³

2017

dtetr

View full text Add to dashboard Cite

Abstract. In this paper, the study of Numerical analysis of bearing lubrication flow field is presented. Through the experiment, due to the centrifugal force, the liquid diffusion of a uniform surface. when v=1094mm/s, the whole surface has smaller accumulation of fluid film thickness of thicker body, this condition is not conducive to the ball body heat, proper ball rolling speed can in the fluid diffusion into the surface of the ball. Without contact with the stationary samples, the fluid diffusion area. And when the rolling ball contact with the stationary sample, the liquid will be together, the radius is smaller, the fluid gathered more concentrated, which is not conducive to the rolling lubrication and cooling. PrefaceRolling bearing is a kind of mechanical component widely used in mechanical transmission. High speed ball bearing under the working state, the rolling, the guide plane of the retainer ring and the contact friction loss and bearing internal flow field of fluid viscous dissipation and other reasons will produce a large amount of heat, if the power loss of poor heat cannot be distributed, it will seriously affect the working performance of the bearing. The paper of Pinel et al [1][2][3] studied the bearing temperature and power loss with the increase of the amount of oil, with increasing the amount of oil bearing, low temperature rise, but at the same time, the greater the friction stir oil, it should choose the proper amount of lubricating oil. Li Bin [4][5][6] has experimentally investigated the characteristics of two phase flow and heat transfer in the bearing cavity by experiments and simulations. As early as the 60s of the last century, the idea of heat transfer was applied to calculate the temperature of rolling bearings by Harris and Burton [7]. In 1980, Kleckner [8] put forward a large-scale analysis software CYBEANO for cylindrical roller bearings.

show abstract

Section: Numerical Results and Analysis Of Two Phase Flow In Bearingsmentioning

confidence: 99%

mentioning

confidence: 99%

Study on Two Phase Flow Heat Transfer of High Speed Bearings by Injection Lubrication

Li¹,

Zeng²,

Huang³

2017

dtetr

View full text Add to dashboard Cite

show abstract

“…The maximum temperature of oil increases with speed and load, but the operation time to the maximum temperature decreases. The rotational speed and load have great influence on lubricating properties of oil [24], and the test results under different load cases are obtained. Although there are different lubricating performances between S220 and M220, the difference gradually shrinks with the increase of speed and load.…”

Section: Systematic Performancesmentioning

confidence: 99%

Experimental Evaluation of Lubrication Characteristics of a New Type Oil-Film Bearing Oil Using Multi-Sensor System

et al. 2016

View full text Add to dashboard Cite

Abstract:In order to evaluate the operating performance of a new type oil-film bearing oil S220, a new test bearing was designed based on oil-film bearing test rig. The operating temperature of S220 was tested through the thermocouples installed on a test bearing; the operating oil-film pressure was tested through pressure transducers; and the operating oil-film thickness was tested through displacement transducers. Meanwhile, M220 was also tested as a comparison, and both oils are based on mineral oil. The results showed that all property indexes of the test rig can meet the specified requirements and can guarantee the performance test of oil-film bearing oil; the operating temperature of S220 is generally equal to that of M220, and both have the same operating stability. The temperature property conforms to Formula (1) and the operating temperature under different load cases can be predicted. Although oil-film pressure of M220 is a little more stable, the oil-film pressure of S220 is similar to that of M220. Moreover, both have the similar oil-film thickness, and the oil-film thickness of S220 is slightly smaller than that of M220, especially at the beginning of operation. Ultimately, oil S220 is evaluated to be suitable for actual engineering application.

show abstract

“…Utilizing the basic laws of heat transfer and stress-strain, the temperature field and thermal deformation are calculated. The principlebased modeling method could be further classified into two categories, the finite element method (FEM) [7] and lumpedmass method [8]. At present, the FEM is mostly conducted on the reliable commercial software, such as ANSYS and PATRAN.…”

Section: Introductionmentioning

confidence: 99%

Thermal Error Modeling of the CNC Machine Tool Based on Data Fusion Method of Kalman Filter

Wang¹,

Li²,

Cai³

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This paper presents a modeling methodology for the thermal error of machine tool. The temperatures predicted by modified lumped-mass method and the temperatures measured by sensors are fused by the data fusion method of Kalman filter. The fused temperatures, instead of the measured temperatures used in traditional methods, are applied to predict the thermal error. The genetic algorithm is implemented to optimize the parameters in modified lumped-mass method and the covariances in Kalman filter. The simulations indicate that the proposed method performs much better compared with the traditional method of MRA, in terms of prediction accuracy and robustness under a variety of operating conditions. A compensation system is developed based on the controlling system of Siemens 840D. Validated by the compensation experiment, the thermal error after compensation has been reduced dramatically.

show abstract

Experimental testing and thermal analysis of ball bearings

Cited by 159 publications

References 26 publications

Study on Two Phase Flow Heat Transfer of High Speed Bearings by Injection Lubrication

Study on Two Phase Flow Heat Transfer of High Speed Bearings by Injection Lubrication

Experimental Evaluation of Lubrication Characteristics of a New Type Oil-Film Bearing Oil Using Multi-Sensor System

Thermal Error Modeling of the CNC Machine Tool Based on Data Fusion Method of Kalman Filter

Contact Info

Product

Resources

About