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RISS 인기검색어
- 검색키워드
- 저자 : Aodi Yu (검색결과 3 건)
- 무료
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Reliability analysis of rolling bearings considering internal clearance
Aodi Yu,Hong-Zhong Huang,He Li,Yan-Feng Li,Song Bai 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.10
The internal clearance is a decisive parameter for life prediction and reliability analysis of rolling bearings. In this paper, a comprehensive reliability analysis model of rolling bearings is proposed by considering the internal clearance of rolling bearings. The model of bearings’ working clearance was established after investigating the effect mechanisms of effective interference, temperature, and centrifugal force on the clearance. The validation of the results is carried out by the reliability analysis of a real rolling bearing through the modeling of working clearance probability distribution and the research of life factor. The results indicate that the proposed methodology provides an additional reference way for the reliability analysis of rolling bearings.
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Probabilistic fatigue life prediction of bearings via the generalized polynomial chaos expansion
Aodi Yu,Yan-Feng Li,Hong-Zhong Huang,Hui Tong,Qing Diao 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.10
In this work, an uncertainty propagation method for the probabilistic fatigue life prediction is proposed on the basis of the generalized polynomial chaos theory, which takes into account the uncertainty of material parameters and can effectively estimate the probability density function and cumulative distribution function of the fatigue life of rolling bearings. First, posterior distributions of the material parameters are fitted by Bayesian theory and based on grey bootstrap sampling fatigue test data. Then, the collocation approximation method is used to solve the expansion coefficients. Furthermore, the polynomial chaos expansion under each stress level is substituted into the bearing fatigue life prediction model for the probabilistic fatigue life prediction. Finally, the proposed method is validited by rolling bearing fatigue tests under two loading conditions. Results demonstrated that the probabilistic fatigue lives of rolling bearings are well predicted by the proposed method under constant and variable loading conditions.
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Ao Di,Wong Pak Kin,Huang Wei,Mei Xing Tai,Cao Yu Cong,Zhao Jing 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.6
The assessment of vehicle dynamic comfort to human body vibration varies from person to person. Even though the dynamic comfort rating can be obtained by placing measurement devices over the cabin, passengers may have dissimilar sensations. For many car manufacturers, both subject and objective measurements are used together at development of new cars. To effectively assess the dynamic comfort of vehicle, this research explores the correlation between the objective measurement of the whole body vibration, hand-transmitted vibration and subjective assessment. The whole body vibration is measured from the backrest, seat surface and vehicle floor, whereas the hand-transmitted vibration is measured from the steering wheel. Four different vehicles are driven at various speeds on five types of pavements. Both simple linear regression and polynomial regression models based on Stevens’s power law from psychophysics are built to correlate the subjective and objective data. The regression results show that (1) the seat surface is more reliable than other positions for assessing the human body vibration; (2) the hand transmitted vibration on rough roads is more trustful for dynamic comfort evaluation than on smooth roads; (3) the overall dynamic comfort value is the most reliable index for dynamic comfort evaluation.
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