Model-based uneven loading condition monitoring of full ceramic ball bearings in starved lubrication

Significance 

Ball bearings are often used to enhance the performance of various complex conditions, particularly those involving rotation movement. However, ball bearings require proper and regular lubrication to work efficiently. Lubrication helps prevent friction and subsequent temperature rise between the balls and rings. There are several types of ball bearings, including steel and full ceramic ball bearings. Ball bearings are generally susceptible to failures induced by poor lubrication conditions. These failures may lead to performance degradation and even damage due to uneven loading conditions that bring about the local overhead in the load. This calls for effective monitoring of the uneven loading condition. Despite the significant research efforts, dynamic behaviors of rolling bearings due to uneven loading conditions have not been fully explored. Moreover, the available models are mainly based on steel bearings.

Recent findings have revealed that under insufficient lubrication, the contact forces between the balls and the rings are highly affected by the decrease in the thickness in the oil film than the friction forces. Moreover, the difference in the diameters of the ceramic ball bearings exhibits a significant influence on the interaction between the bearing components. Equipped with this knowledge, Professor H.T. Shi and Professor X.T. Bai from Shenyang Jianzhu University developed dynamic model for monitoring the uneven loading conditions in full ceramic ball bearings in starved lubrication considering the effects of the ball diameter differences. Their main object was to extract and investigate in detail the features of the uneven loading conditions. The work is currently published in the journal, Mechanical Systems and Signal Processing.

In their approach, the authors used model-based calculations coupled with signal acquisition and conditional recognition to monitor the conditions. A simulation, in which the number of loaded balls and the contact between the balls and the rings was analyzed based on the working and loading conditions, was conducted to derive the characteristic frequencies. Furthermore, the vibration of the inner rings was analyzed in the frequency domain using the amplitudes of the frequencies as the indicators. Finally, the model was validated by comparing the monitoring results with the theoretical predictions.

The authors identified ball parameter tolerances and ball arrangements as the main factors affecting the uneven loading conditions. Moreover, the unloading conditions could be effectively monitored and evaluated through the amplitudes of the peak frequencies using the amplitude ratios as the indicators for the unloading conditions and vibration intensity. The trends in the uneven loading conditions were successfully verified through theoretical analysis. The monitored results agreed well with the theoretical predictions.

In a nutshell, the researchers presented a dynamic based mode for monitoring the uneven loading conditions of full ceramic ball bearings in starved lubrication. The loading conditions were observed to change with changes in the ball diameter tolerances and adjacent ball diameter differences. The approach was successfully verified through theoretical analysis in which the monitoring results fitted well with the theoretical predictions. In a statement to Advances in Engineering, the authors noted that the study would provide a foundation for efficient monitoring of the working conditions of ball bearings and their maintenance.

Model-based uneven loading condition monitoring of full ceramic ball bearings in starved lubrication - Advances in Engineering Model-based uneven loading condition monitoring of full ceramic ball bearings in starved lubrication - Advances in Engineering Model-based uneven loading condition monitoring of full ceramic ball bearings in starved lubrication - Advances in Engineering

About the author

H. T. SHI was born in Fuyang, Anhui Province, China in 1982. He received the B.S. degree in control engineering from Northeastern University, Shenyang, Liaoning in 2001, and M.S. and PhD degrees in control engineering from Northeastern University, Shenyang, Liaoning in 2005 and 2012.

Prof.Shi has been a professor in faculty of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, Liaoning Province, China since 2013. He has been the vice dean of the faculty of Mechanical Engineering, Shenyang Jianzhu University since 2014. He was also a common member of the Liaoning Society of Vibration Engineering.

Prof. Shi was the recipient of the Liaoning Science and Technology Award and the Liaoning Natural Science Achievement Award, and was one of the participants of the prize for scientific and technological progress given by the ministry of education. He is the author of over 30 articles, and 13 patents. His current research interests include hybrid ceramic ball bearing dynamic modeling and fault diagnosis. His research findings about fault diagnosis and status monitoring has been applied in several bearing enterprises, and great economic and social benefits were created thereby.

About the author

X. T. Bai was born in Wanghua district, Fushun, Liaoning Province, China in 1989. He received the B.S. degree in mechanical engineering from Dalian University of Technology, Dalian, Liaoning in 2011, and M.S. and PhD degrees in mechanical engineering from Shenyang University of Technology in 2013 and 2016, respectively.

Prof. Bai has been an associate professor in faculty of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, Liaoning Province, China since 2019. He carried out his postdoctoral work in the post-doctoral station in Shenyang Jianzhu University from 2016 to 2018. He has been in Romania for 3 months as a visiting scholar.

Prof. Bai was the recipient of the Science and Technology Progress Award given by the China Society of Mechanical Engineering and the Liaoning Science and Technology Award. Prof. Bai has been the deputy secretary-general and member of Liaoning Society of Vibration Engineering since 2018, and has been the reviewer for Journal of Sound and Vibration and Mechanical Systems Signal Processing since 2019.

Prof.Bai’s current research interest is about the vibration and sound radiation of bearings. So far he has been the author of over 15 papers and 2 patents. His findings were widely cited by scholars with relative topics. He also took part in the diagnosis and maintenance of rotary machines, and the effects proved to be satisfactory.

Reference

Shi, H., & Bai, X. (2020). Model-based uneven loading condition monitoring of full ceramic ball bearings in starved lubrication. Mechanical Systems and Signal Processing, 139, 106583.

Check Also

The benefit of droplet injection on the performance of an ejector refrigeration cycle working with R245fa - Advances in Engineering

The benefit of droplet injection on the performance of an ejector refrigeration cycle working with R245fa