Wear analysis of rolling bearing contact surfaces based on finite element method

Li, Wei; Tan, Yalou; Tao, Yaping; Bai, Diaojun

doi:10.1088/1402-4896/ad114e

Cited by 2 publications

(1 citation statement)

References 29 publications

(29 reference statements)

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“…Xue et al [35] performed a 3D FE wear analysis to predict the service life of self-lubricating spherical plain bearings and the results were compared with experimental data. Later, various authors [36][37][38][39][40][41][42][43] investigated the effects of preload, surface roughness, rotational speed, manufacturing methods, and lubrication on the wear behavior of bearings using numerical models. Bhoi and Singh [44] performed dry sliding wear tests by using weight loss techniques to estimate the wear rate for Al-Y 2 O 3 based composite material.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigations and finite element simulation for predicting wear life of overrunning clutches

Dutt,

Joshi,

Shah

et al. 2024

Eng. Res. Express

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An overrunning clutch, generally known as a freewheel clutch, is a direction dependent torque transmitting device that works on the principle of wedge friction. The overrunning wear characteristics of freewheels are studied using pin-on-disc tribometry. The wear experiments for freewheels are performed at accelerated loads to promote wear in a short period. The overrunning wear life of the clutch under operating conditions is predicted using an appropriate load-life relationship. A finite element-based Archard’s wear model is implemented as a numerical strategy to evaluate the wear profile. The maximum local wear for various loads is computed using experimentally obtained wear and friction coefficients. The numerical simulation is performed with an adaptive mesh technique utilizing incremental nodal displacements to predict surface wear. The experimental and numerical results are compared in terms of wear characteristics. The numerical wear results are almost 11% higher than the experimental results. The wear life of an overrunning clutch is predicted in terms of overrunning speed based on the wear amount.

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Section: Introductionmentioning

confidence: 99%

Experimental investigations and finite element simulation for predicting wear life of overrunning clutches

Dutt,

Joshi,

Shah

et al. 2024

Eng. Res. Express

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RTCA-Net: A New Framework for Monitoring the Wear Condition of Aero Bearing with a Residual Temporal Network under Special Working Conditions and Its Interpretability

Yang,

Huang,

Zhang

et al. 2024

Mathematics

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The inter-shaft bearing is the core component of a high-pressure rotor support system of a high-thrust aero engine. One of the most challenging tasks for a PHM is monitoring its working condition. However, considering that in the bearing rotor system of a high-thrust aero engine bearings are prone to wear failure due to unbalanced or misaligned faults of the rotor system, especially in harsh environments, such as those at high operating loads and high rotation speeds, bearing wear can easily evolve into serious faults. Compared with aero engine fault diagnosis and RUL prediction, relatively little research has been conducted on bearing condition monitoring. In addition, considering how to evaluate future performance states with limited time series data is a key problem. At the same time, the current deep neural network model has the technical challenge of poor interpretability. In order to fill the above gaps, we developed a new framework of a residual space–time feature fusion focusing module named RTCA-Net, which focuses on solving the key problem. It is difficult to accurately monitor the wear state of aero engine inter-shaft bearings under special working conditions in practical engineering. Specifically, firstly, a residual space–time structure module was innovatively designed to capture the characteristic information of the metal dust signal effectively. Secondly, a feature-focusing module was designed. By adjusting the change in the weight coefficient during training, the RTCA-Net framework can select the more useful information for monitoring the wear condition of inter-shaft bearings. Finally, the experimental dataset of metal debris was verified and compared with seven other methods, such as the RTC-Net. The results showed that the proposed RTCA-Net framework has good generalization, superiority, and credibility.

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Wear analysis of rolling bearing contact surfaces based on finite element method

Cited by 2 publications

References 29 publications

Experimental investigations and finite element simulation for predicting wear life of overrunning clutches

Experimental investigations and finite element simulation for predicting wear life of overrunning clutches

RTCA-Net: A New Framework for Monitoring the Wear Condition of Aero Bearing with a Residual Temporal Network under Special Working Conditions and Its Interpretability

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