Thermal Behavior of a Worn Tilting Pad Journal Bearing: Thermohydrodynamic Analysis and Pad Temperature Measurement

Lee, Dong-Hyun; Sun, Kyung Ho; Kim, Byungock; Kang, Donghyuk

doi:10.1080/10402004.2018.1469805

Cited by 33 publications

(28 citation statements)

References 21 publications

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“…Given that the heavy load condition usually leads to a substantial variation in the pad surface temperature (Lee et al , 2018; Jiang and Shen, 2018) and bearing clearance (Zhai et al , 2017; Mermertas et al , 2018), the above-mentioned lubrication models ignoring the effects of film temperature and pad deformation are no longer applicable to predicting bearing performance under heavy load conditions. Zhai et al (2017) used fluid–solid interaction technology to establish a numerical model considering the thermal elastic deformation of pads and investigated the lubricating characteristics of bearings under various operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Investigation on static and dynamic characteristics of high-speed and heavy-load tilting pad journal bearings

Yan

Huang

2022

ILT

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Purpose Multitilting-pad journal bearings (MTPJBs) used in large-scale hydraulic turbines often suffer from complex operating conditions, which greatly influence the overall performance of the rotating machine. The purpose of this study is to establish a thermal-elastic-hydrodynamic lubrication model for MTPJBs that can predict the static and dynamic characteristics of high-speed and heavy-load MTPJBs under different operating conditions. Design/methodology/approach A thermo-elasto-hydrodynamic lubrication model considering the turbulence effect is proposed for high-speed and heavy-load TPJBs, which is solved using the coupled finite difference method and finite element method. The model considered the turbulence effect, thermal energy diffusion, viscosity–temperature–pressure relationship and elastic deformation of the pads. The influences of the operating conditions on static and dynamic characteristics of tilting pad journal bearings were analyzed in depth. Findings The operating conditions have a strong effect on the static properties of the bearings. The dynamic characteristics of the TPJB were the most influenced by the shaft speed. The effects of the load direction on the dynamic properties of the TPJB were much stronger than those of the static characteristics. Originality/value This study used analytical methods and models to provide theoretical guidance for evaluating lubricating characteristics, assembling conditions and overall health.

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Section: Introductionmentioning

confidence: 99%

Investigation on static and dynamic characteristics of high-speed and heavy-load tilting pad journal bearings

Yan

Huang

2022

ILT

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“…Bearings are the key component of feed system of high-speed CNC machine tool. The temperature variation of bearing has a great impact on the performance of bearing system, and affects many key parameters of bearing [7,8,9,10]. Palmgren [11] had made a great contribution to the calculation of bearing temperature.…”

Section: Introductionmentioning

confidence: 99%

Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors

Zhong-wu

Zhao

et al. 2019

Sensors

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In view of the time-varying complexity of the heat source for the ball screw feed system, this paper proposes an adaptive inverse problem-solving method to estimate the time-varying heat source and temperature field of the feed system under working conditions. The feed system includes multiple heat sources, and the rapid change of the moving heat source increases the difficulty of its identification. This paper attempts to develop a numerical calculation method for identifying the heat source by combining the experiment with the optimization algorithm. Firstly, based on the theory of heat transfer, a new dynamic thermal network model was proposed. The temperature data signal and the position signal of the moving nut captured by the sensors are used as input to optimize the solution of the time-varying heat source. Then, based on the data obtained from the experiment, finite element software parametric programming was used to optimize the estimate of the heat source, and the results of the two heat source prediction methods are compared and verified. The other measured temperature points obtained by the experiment were used to compare and verify the inverse method of this numerical calculation, which illustrates the reliability and advantages of the dynamic thermal network combined with the genetic algorithm for the inverse method. The method based on the on-line monitoring of temperature sensors proposed in this paper has a strong application value for heat source and temperature field estimation of complex mechanical structures.

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“…There are many key parameters of bearing affected by temperature, such as preload, lubricant viscosity, load distribution and material thermal expansion. Therefore, it is more complicated and difficult to predict and model the thermal dynamic characteristics of bearing under working conditions [1]- [5]. Due to intrinsic geometric and dynamic complexity, the analysis of bearing under the influence of thermal energy has not been thoroughly solved.…”

Section: Introductionmentioning

confidence: 99%

Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition

Zhao

Zhong-wu

et al. 2019

IEEE Access

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High-speed machining is a key technology for greatly improving productivity and reducing production costs. Angular contact ball bearing is the key component of ball screw feed system. Predictive analysis of bearings thermal behavior is significant to ensure the working accuracy of machine tools. Due to the continuous dynamic changes under actual working conditions, it is difficult to predict and model of the bearings heating characteristics. This paper develops a comprehensive calculation method for predicting the thermodynamic characteristics on high speed feed shaft bearings. Based on quasi-static model and thermal dynamic model, Monte Carlo optimization algorithm is used to inverse the temperature field experimental temperature data. The real heating characteristics of heat source are comprehensively predicted and analyzed, so as to accurately predict the bearing thermal dynamic performances of feed shaft bearings. The research work in this paper lays a strong foundation for the thermal error modeling and thermodynamic analysis of the ball screw feed system of machine tools.INDEX TERMS High speed feed shaft, angular contact ball bearing, thermal effects, optimizing prediction analysis.

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Thermal Behavior of a Worn Tilting Pad Journal Bearing: Thermohydrodynamic Analysis and Pad Temperature Measurement

Cited by 33 publications

References 21 publications

Investigation on static and dynamic characteristics of high-speed and heavy-load tilting pad journal bearings

Investigation on static and dynamic characteristics of high-speed and heavy-load tilting pad journal bearings

Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors

Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition

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