An experimental study on tribological performance and surface characteristics of lubricated point contact

Jadhav, Suresh; Thakre, Gananath D.; Sharma, Satish C.

doi:10.1007/s00707-018-2241-0

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…The top four parameter items in mises1 are Sq, Sq 2 , SqSsk, Ssk; mises2 are Sq, SqSsk, SqSku, SskSku; mises3 are Sq, SqSsk, Sq 2 , Ssk. According to the practical meanning, the equation should contain as much variable information as possible, and there is no Sku item in mises1 and mises3.…”

Section: Figure7 Parameter Frequencymentioning

confidence: 99%

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Correlation analysis of roughness surface height distribution parameters and maximum mises stress

Yang¹,

Wang²,

Tang³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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Roughness surfaces contact analysis is cutting-edge research in interface design. The 3D rough surface amplitude distribution characterized by height distribution parameters(Sq (root mean square), Ssk (skewness), Sku (kurtosis)) has a great influence on the extreme value and distribution of the interface contact stress. However, the relationship between height distribution parameters and surface maximum mises stress (σmax) is still unclear and lacks of in-depth study. Through BP neural network, global sensitivity qualitative (Morris) and quantitative (Sobol) analysis methods, the relationship between Sq, Ssk, Sku and σmaxunder different loads is studied. Based on complete polynomial and permutation combination method, the optimal correlation model between height distribution parameters and σmax was established, and particle swarm algorithm was introduced to analyze σmax extreme values under different Sq. The results show that: (1) Under different loads, the order about height distribution parameters influence on surface contact stress is: Sq> Ssk > Sku, and as the load increases, the influence of Ssk and Sku gradually decreases. (2) In different roughness surfaces, the influence of Ssk and Sku on the contact performance is significantly full of discrepancy. The research results provide reference and technical support for active design of rough surface microstructure to improved contact performance.

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Section: Figure7 Parameter Frequencymentioning

confidence: 99%

“…Surface morphology significantly affects the contact, wear and friction properties of the components, which restricts its service performance and working hours [1][2][3][4][5]. In order to describe surface topography more accurately, midline characterization method based on the profile section was proposed.…”

Section: Introductionmentioning

confidence: 99%

Correlation analysis of roughness surface height distribution parameters and maximum mises stress

Yang¹,

Wang²,

Tang³

et al. 2022

Surf. Topogr.: Metrol. Prop.

View full text Add to dashboard Cite

show abstract

“…x * is a randomly generated parametric base sample (x1, x2, ...xi, ..., xk), belonging to the core in formula (2).…”

Section: Figure3 Bp Neural Networkmentioning

confidence: 99%

Correlation Analysis of Roughness Surface Height Distribution Parameters and Maximum Mises Stress

Yang¹,

Wang²,

Tang³

et al. 2021

Preprint

View full text Add to dashboard Cite

Roughness surfaces contact analysis is an advanced research topic in interface design. The 3D rough surface amplitude distribution characterized by height distribution parameters(Sq (root mean square), Ssk (skewness), Sku (kurtosis)) has a great influence on the extreme value and distribution of the interface contact stress. However, the relationship between height distribution parameters and surface maximum mises stress (σmax) is still unclear and lacks of in-depth study. With the assistance of roughness surface reconstruction and contact stress algorithm proposed by the research group, σmax under a large sample was calculated and used as the data support for correlation analysis. Through BP neural network, global sensitivity qualitative (Morris) and quantitative (Sobol) analysis methods, the relationship between Sq, Ssk, Sku and σmax under different loads is studied. Based on complete polynomial and permutation combination method, the optimal correlation model between height distribution parameters and σmax was established, and particle swarm algorithm was introduced to analyze σmax extreme values under different Sq. The results show that: (1) Under different loads, the order about height distribution parameters influence on surface contact stress is: Sq> Ssk > Sku, and as the load increases, the influence of Ssk and Sku gradually decreases. (2) In different roughness surfaces, the influence of Ssk and Sku on the contact performance is significantly full of discrepancy. The research results provide reference and technical support for active design of rough surface microstructure to improved contact performance.

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Effect of spatial position of the ball and random parameters on rolling bearing fatigue life

Cheng

Zhang

2022

J Braz. Soc. Mech. Sci. Eng.

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An experimental study on tribological performance and surface characteristics of lubricated point contact

Cited by 4 publications

References 22 publications

Correlation analysis of roughness surface height distribution parameters and maximum mises stress

Correlation analysis of roughness surface height distribution parameters and maximum mises stress

Correlation Analysis of Roughness Surface Height Distribution Parameters and Maximum Mises Stress

Effect of spatial position of the ball and random parameters on rolling bearing fatigue life

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