Research on Lubrication Efficiency Enhancement of High-speed Bearing under Oil-starvation Conditions

doi:10.3901/JME.2022.01.154

Abstract

Abstract: Under high-speed working conditions, the oil supply efficiency is reduced by the increasing internal flow resistance in the bearing, and the bearing is oil-starvation lubricated, which seriously affects the performance of the bearing. In order to improve the oil transportation capacity and lubrication performance of bearings, a lubrication enhancement method for jet lubrication of rolling bearings is proposed. By adding the axial groove structure on the bearing inner ring surface, the axial flow capacity of the lubricating oil is improved, thereby increasing the oil accumulation in the bearing contact area under high-speed conditions. The lubricating oil flow model on the grooved inner ring surface is established, the flow resistance reduction mechanism of the groove structure is explored, and the groove structure is optimized. The grooves are added to the H7006C angular contact ball bearing and the lubrication performance experiments are carried out. The results show that the temperature rise of the grooved bearing is significantly lower than that of conventional bearing under the oil-starvation conditions with different speeds, which confirms the effectiveness of the lubrication efficiency enhancement method.

Key words: rolling bearing, oil-starvation lubrication, groove structure, lubrication enhancement

CLC Number:

TH133

GE Linfeng, CHEN Fei, YAN Ke, WANG Chao, HONG Jun, ZHU Yongsheng. Research on Lubrication Efficiency Enhancement of High-speed Bearing under Oil-starvation Conditions[J]. Journal of Mechanical Engineering, 2022, 58(1): 154-161.

References

[1] LI H,SHIN Y C. Analysis of bearing configuration effects on high speed spindles using an integrated dynamic thermo-mechanical spindle model[J]. International Journal of Machine Tools & Manufacture,2004,44(4):347-364.
[2] 王亚泰,闫柯,朱永生,等. 保持架不同引导方式下角接触球轴承腔内气相流动分析[J]. 机械工程学报,2017,53(1):72-78. WANG Yatai,YAN ke,ZHU Yongsheng,et al. Investigation on internal air flow pattern of angular contact ball bearing with different cage guiding approaches[J]. Journal of Mechanical Engineering,2017,53(1):72-78.
[3] WU C H,KUNG Y T. A parametric study on oil/air lubrication of a high-speed spindle[J]. Precision Engineering,2005,29:162-167.
[4] 郑德志,古乐,王黎钦,等. 润滑喷油参数对高速滚动轴承性能的影响[J]. 哈尔滨工业大学学报,2006,38:10-13,21. ZHENG Dezhi,GU Le,WANG Liqin,et al. Effect of lubrication oil supply parameters on the performance of high-speed rolling bearing[J]. Journal of Harbin Institute of Technology,2006,38:10-13,21.
[5] AKAMATSU Y,MORI M. Minimizing lubricant supply in an air-oil lubrication system[J]. NTN Technical Review,2004,71:12-19.
[6] 刘牧原,郭峰,焦一航,等. 一种新型导流式油气润滑喷嘴[J]. 中国机械工程,2018,29(11):1284-1288. LIU Muyuan,GUO Fengg,JIAO Yihang,et al. A novel guide-type nozzle for oil-air lubrications[J]. China Mechanical Engineering,2018,29(11):1284-1288.
[7] KOSUGI F. Rolling bearing and rolling bearing assembly,US. WO/2013/002252[P]. 2013-08-08.
[8] 朱冬磊,陈国定,李炎军,等. 中介轴承环下流道滑油流动及润滑效率分析[J]. 航空学报,2019,40(11):309-323. ZHU Donglei,CHEN Guoding,LI Yanjun,et al. Inner ring oil flow and lubrication efficiency analysis of intershaft bearing[J]. Acta Aeronautica et Astronautica Sinica,2019,40(11):309-323.
[9] YAN K,DONG L,ZHENG J H,et al. Flow performance analysis of different air supply methods for high speed and low friction ball bearing[J]. Tribology International,2018,121:94-107.
[10] 王静秋,王晓雷. 表面织构创新设计的研究回顾及展望[J]. 机械工程学报,2015,51(23):84-95. WANG Jingqiu,WANG Xiaolei. State of the art in innovative design of surface texture[J]. Journal of Mechanical Engineering,2015,51(23):84-95.
[11] 闫哲,李艳,袁瀚,等. 液滴撞击微尺度矩形沟槽表面的数值研究[J]. 工程热物理报,2018,39(7):1542-1548. YAN Zhe,LI Yan,YUAN Han,et al. Numerical study of droplet impact on micro-scale rectangular-groove surface[J]. Journal of Engineering Thermophysics,2018,39(7):1542-1548.
[12] YANG D,KRASOWSKA M,PRIEST C,et al. Dynamics of capillary-driven flow in open microchannels[J]. The Journal of Physical Chemistry C,2011,115(38):18761-18769.
[13] 刘牧原. 高速滚动轴承油气润滑试验研究[D]. 青岛:青岛理工大学,2015. LIU Muyuan. Experimental studies on the high-speed rolling bearing with oil-air lubrication[D]. Qingdao:Qingdao University of Technology,2015.

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