Effect of Surface Roughness and Jet Electrodeposition Process Parameters on the Friction Properties of Cu-HAp Coatings of Ti6AI7Nb Titanium Alloy

Abstract Although Cu and hydroxyapatite (Cu-HAp) composite coatings can effectively improve the comfort and friction resistance of medical surgical titanium alloy implants, however, different jet electrodeposition parameters and surface roughness of coatings may exert different impacts on the friction properties of titanium alloy Cu-HAp coatings. Therefore, quantitative research about the influence of these factors on friction characteristics is of great significance. The Cu-HAp coatings are prepared on the Ti6AI7Nb titanium alloy substrate, and the surface roughness and average friction coefficient of coatings are measured. Besides, the most significant factor affecting the average friction coefficient of coatings is determined by the gray correlation theory. According to the single-factor analysis method, the effects of surface roughness, current density and number of deposition layers on the average friction coefficient are examined, and a multiple regression model regarding the three influence factors for the average friction coefficient is established. Finally, based on the particle swarm optimization algorithm, the optimal parameters are obtained. The results demonstrate that the average friction coefficient has the highest correlation with surface roughness, followed by the current density and number of deposition layers, and the gray correlation coefficients are 0.84, 0.77, and 0.76, respectively. The accuracy of the model is 92.8%. According to the model, the average friction coefficient is positively correlated with surface roughness and deposition layers and negatively correlated with current density. The optimal parameters are Ra = 3.681 µm, J = 57.51 A/dm2, n = 2524, corresponding to fm = 0.014.

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Publication Details

Journal
Journal of Tribology
Published
2025-08-11
DOI
https://doi.org/10.1115/1.4069370
Primary Topic
Tribology and Lubrication Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Effect of Surface Roughness and Jet Electrodeposition Process Parameters on the Friction Properties of Cu-HAp Coatings of Ti6AI7Nb Titanium Alloy

Zhihong Kang, Yao Ding, Shuncai Li, Li Yang
Journal of Tribology
Tribology and Lubrication Engineering
article

Effect of Surface Roughness and Jet Electrodeposition Process Parameters on the Friction Properties of Cu-HAp Coatings of Ti6AI7Nb Titanium Alloy

Zhihong Kang, Yao Ding, Shuncai Li, Li Yang
article en

Abstract

Abstract Although Cu and hydroxyapatite (Cu-HAp) composite coatings can effectively improve the comfort and friction resistance of medical surgical titanium alloy implants, however, different jet electrodeposition parameters and surface roughness of coatings may exert different impacts on the friction properties of titanium alloy Cu-HAp coatings. Therefore, quantitative research about the influence of these factors on friction characteristics is of great significance. The Cu-HAp coatings are prepared on the Ti6AI7Nb titanium alloy substrate, and the surface roughness and average friction coefficient of coatings are measured. Besides, the most significant factor affecting the average friction coefficient of coatings is determined by the gray correlation theory. According to the single-factor analysis method, the effects of surface roughness, current density and number of deposition layers on the average friction coefficient are examined, and a multiple regression model regarding the three influence factors for the average friction coefficient is established. Finally, based on the particle swarm optimization algorithm, the optimal parameters are obtained. The results demonstrate that the average friction coefficient has the highest correlation with surface roughness, followed by the current density and number of deposition layers, and the gray correlation coefficients are 0.84, 0.77, and 0.76, respectively. The accuracy of the model is 92.8%. According to the model, the average friction coefficient is positively correlated with surface roughness and deposition layers and negatively correlated with current density. The optimal parameters are Ra = 3.681 µm, J = 57.51 A/dm2, n = 2524, corresponding to fm = 0.014.

Journal of TribologyVol. 148(5)
Jiangsu Normal University (CN), Nanjing Normal University (CN), Xuzhou Medical College (CN)
Science and Technology Support Program of Jiangsu Province
Openalex Percentile: Top 80%
Tribology and Lubrication Engineering
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