Article
Engineering, Mechanical
L. Houpert, J. Clarke, C. Penny
Summary: Advanced ball bearing simulations require accurate tribological models to calculate contact load and pressure, and suggest contact stiffness models for ball-cage and cage-guiding ring using Hertzian contact stiffness and/or structural stiffness. Relationships respecting various lubrication regimes are used to calculate film thickness, rolling force, and load increase. Nonlinear visco-elastic-plastic lubricant rheological model is used to define shear rate, shear stress, and sliding force considering pressure and temperature. Elastic effects are approximated using a simple nonlinear visco-plastic model.
TRIBOLOGY TRANSACTIONS
(2023)
Article
Automation & Control Systems
Honghui Dong, Hao Ma, Zhipeng Wang, Jie Man, Limin Jia, Yong Qin
Summary: The health monitoring of traction motors is crucial for high-speed train prognostics and health management, with temperature signal as an outstanding health indicator. Traditional offline prediction models with high dependency on training data cannot adapt to varying real data distributions, resulting in decreasing accuracies over time. In this study, an online health monitoring framework for traction motors using temperature signals is proposed, which dynamically estimates training parameters and adapts to individualized training. The framework demonstrates high prediction accuracy and adaptability on real datasets.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Peer-Ole Gronwald, Niels Wiese, Thorsten A. Kern, Markus Henke
Summary: The study focuses on modeling heat transfer in electric traction motors with hairpin end windings and spray cooling systems. The model approach shows good agreement with measured temperatures and transient thermal simulations. However, deviations increase at high speeds, and the causes for this behavior are discussed.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Materials Science, Multidisciplinary
Bin Xiong, Xinpeng Zhao, Yunfeng Hu, Haiyou Huang, Yang Liu, Yanjing Su
Summary: The strategy of enhancing empirical formulas through machine learning methods can improve the accuracy and robustness of martensite transformation temperature predictions, without incurring additional experimental costs.
MATERIALS & DESIGN
(2021)
Article
Mechanics
Ravi Sinha, Vineet Sahoo, Manikant Paswan
Summary: This study analyzes the performance characteristics of a deep groove single row 6206 ball bearing with variable clearance using a mathematical model. The results show that under a specific angular movement of the outer elliptical ring, the load shared by most loaded ball in the bearing with variable clearance is significantly reduced, thus enhancing the radial load carrying capacity.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Engineering, Electrical & Electronic
Hyun-Sam Jung, Hwigon Kim, Seung-Ki Sul, Daniel J. Berry
Summary: The magnet temperature is crucial in permanent magnet motors, especially in high-speed and high-current conditions. This study presents a reactive-energy-based method for accurately estimating the magnet temperature in a mass-produced traction motor, as well as an indirect measurement method that does not require any modification to the motor structure. The implemented method can estimate the magnet temperature in real time, even under extreme temperature variations, with a maximum estimation error of less than 5 degrees C.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Mechanical
Xiujiang Shi, Xiqun Lu, Yan Feng, Zhuoyi Qiu
Summary: A numerical tribo-dynamic analysis procedure was developed to predict the dynamic performance, lubrication state, friction-temperature, and subsurface stress of aero ball bearings. The model was verified by comparing friction coefficients with testing results, showing good agreement and reliability. The study also investigated the tribology behaviors of the ball bearing under different conditions, revealing potential failures due to heavy loads, low speeds, and poor lubrication.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Mechanical
Mingkai Wang, Ke Yan, Xiaohong Zhang, Yongsheng Zhu, Jun Hong
Summary: This paper proposes an improved nonlinear dynamic model of ball bearing considering bearing deformations and ball-inner raceway separation, and verifies it through experiments. The study finds that bearing deformations affect the contact properties, and appropriate preload improves the bearing service characteristics.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Chemical
Steffen Puchtler, Julius van der Kuip, Eckhard Kirchner
Summary: Over the past years, precise modeling of the capacitance of rolling element bearings has become increasingly important, particularly in the estimation of bearing damage in electric drives. The complexity of a steel bearing as an electrical network makes it nearly impossible to reliably validate calculation models under realistic operating conditions. To reduce complexity while maintaining realism, hybrid bearings with a single steel rolling element are used. This enables the measurement of only one current path through the bearing at a time, providing a clearer understanding of the contact capacitance of rolling elements in and out of the load zone. This study considers the effects of different materials with varying thermal expansion coefficients and elasticities, which significantly impact load distribution, and validates them through experiments using single steel ball bearings.
Article
Energy & Fuels
Anees Mohammed, Sinisa Djurovic
Summary: This article presents the use of fiber Bragg grating sensors for monitoring the bearing condition of electric machines. The proposed method allows simultaneous extraction of thermal and mechanical information for health monitoring and fault diagnosis. Experimental tests show that the in-situ sensing scheme performs well under both healthy and faulted bearing conditions.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2021)
Article
Computer Science, Information Systems
Carlos Puerto-Santana, Concha Bielza, Javier Diaz-Rozo, Guillem Ramirez-Gargallo, Filippo Mantovani, Gaizka Virumbrales, Jesus Labarta, Pedro Larranaga
Summary: This study introduces a methodology for health assessment based on online novelty detection and asymmetrical hidden Markov models for predicting the remaining useful life of ball bearings in industrial assets. The approach is designed to adapt to natural degradation of mechanical components and can be deployed in online environments. Performance analysis and validation with real datasets showcase the advantages of this methodology.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Acoustics
Vasiliy Migal, Anatoliy Lebedev, Mykhailo Shuliak, Evgeniy Kalinin, Shchasiana Arhun, Vladimir Korohodskyi
Summary: This study investigated the impact of the accuracy class of bearings, rotational speed, load, clearances, and fits on the vibration levels of electric motor bearing units, offering ways to reduce mechanical vibrations. The results can be applied to all types of traction electric motors.
JOURNAL OF VIBRATION AND CONTROL
(2021)
Article
Engineering, Electrical & Electronic
Zhonglin Ji, Franklin Li Duan, Ziyi Xie
Summary: Smart sensors are essential for achieving a more intelligent aero-engine, with a thin-film sensor array fabricated on the turbine blade surface using MEMS technology. The PtRh/Pt thin film thermocouples exhibit good stability and consistency on the blade surface, able to capture temperature distribution and respond quickly to dynamic heat flow.
IEEE SENSORS JOURNAL
(2021)
Article
Thermodynamics
Zhenyu Yuan, Kaiyuan Zuo, Jiamu Cao
Summary: This paper presents a detailed analysis of the transient temperature heterogeneous distribution in a three-dimensional micro Direct Methanol Fuel Cell (μDMFC). The correct model is verified using a metal-based μDMFC with an effective area of 1.0 cm2. By coupling different transport mechanisms, the temperature changes in different stages of the cell and the heating trends in the flow channels are analyzed. The simulation results provide reference for the heterogeneous transfer and startup phase optimization of fuel cells.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Engineering, Multidisciplinary
Qi Sun, Chunjun Chen, Xinchang Liu
Summary: This paper proposes a strategy for monitoring the health status of high-speed train traction motor bearing cage using stator current, which does not require additional sensors and is more feasible and effective than vibration-based methods.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
