Research progress on the effect of surface texture on the friction properties of CoCrMo alloys

Zhao, Changlong; Jia, Xiaoyu; Zhao, Qinxiang; Ma, Hongnan; Yu, Zice; Zhang, Zihao; Du, Weilong; Zhang, Haifeng

doi:10.1080/09276440.2024.2331333

Composite Interfaces

2024

DOI: 10.1080/09276440.2024.2331333

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Research progress on the effect of surface texture on the friction properties of CoCrMo alloys

Changlong Zhao,

Xiaoyu Jia,

Qinxiang Zhao

et al.

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2024

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Cited by 2 publications

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Algorithmic research on surface roughness in laser-melted claddings: A review

Zhao,

Zhang,

et al. 2024

Surface Engineering

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As a breakthrough of the additive manufacturing technology being achieved, many fields have broadly applied laser cladding due to its unique advantages. But the surface characteristics of the cladding layer are not frequently aligned with the standards necessary for industrial use. Consequently, with a particular focus on refining its surface roughness, it has emerged as a significant area of interest among numerous investigators. This paper reviews a variety of methods for optimizing the surface roughness of laser cladding, covering from deterministic algorithms such as Taguchi's method, orthogonal experimental method, gradient descent method, to stochastic algorithms including neural network, genetic algorithm, Gray Wolf algorithm, and even hybrid algorithms combining multiple algorithms like neural network genetic algorithm, adaptive neural fuzzy reasoning algorithm, and improved genetic algorithms for response surface analysis, and so on. Through comparative analysis, it is found that the hybrid algorithms can quickly generate the optimal optimization parameters for the sake of achieving the optimal surface quality since they may combine the accuracy of deterministic algorithms and the robustness of stochastic algorithms. In addition, this paper also looks forward to the future development direction of surface quality optimization methods for laser cladding, aiming at laying a foundation for the research work of high-quality coating preparation.

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Algorithmic research on surface roughness in laser-melted claddings: A review

Zhao,

Zhang,

et al. 2024

Surface Engineering

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Synergistic Effects of Surface Texture and Cryogenic Treatment on the Tribological Performance of Aluminum Alloy Surfaces

Liu,

Deng,

Sun

et al. 2024

Lubricants

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In order to improve the tribological properties of the 7075-T6 aluminum alloy used on the rotor surface, a combined method of cryogenic treatment and laser surface texture treatment was applied. Various tests, including metallographic microscopy, scanning electron microscopy, elemental analysis, microhardness measurements, were conducted to examine the wear morphology and modification mechanism of the treated 7075-T6 aluminum alloy surface. A numerical simulation model of surface texture was established using computational fluid dynamics to analyze the lubrication characteristics of V-shaped texture. The research finding that the 7075-T6 aluminum alloy experienced grain refinement during the cryogenic treatment process, enhancing the wear resistance of the V-shaped textures. This improvement delayed the progression of fatigue wear, abrasive wear, and oxidative wear, thereby reducing friction losses. The designed V-shaped texture contributes to reducing contact area, facilitating the capture and retention of abrasives, and enhancing oil film load-bearing capacity, thereby improving tribological performance. The synergistic effect of cryogenic treatment reduced the friction coefficient by 24.8% and the wear loss by 66.4%. Thus, the combination of surface texture and cryogenic treatment significantly improved the tribological properties of the 7075-T6 aluminum alloy.

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Research progress on the effect of surface texture on the friction properties of CoCrMo alloys

Cited by 2 publications

References 69 publications

Algorithmic research on surface roughness in laser-melted claddings: A review

Algorithmic research on surface roughness in laser-melted claddings: A review

Synergistic Effects of Surface Texture and Cryogenic Treatment on the Tribological Performance of Aluminum Alloy Surfaces

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