The processing parameters optimization of UVAM-processed CuNiAl alloy based on surface integrity parameters

• Published in: Tribology international Vol. 177; p. 107955
• Main Authors: Chen, Xin, Wang, Jian, Zeng, Wenhan, Liu, Xiaojun, Zheng, Kan, Jiang, Xiangqian, Lu, Wenlong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2023
• Subjects: Fretting wear; Parameters optimization; Surface integrity; UVAM; Surface integrity; Parameters optimization; UVAM; Fretting wear
• ISSN: 0301-679X; 1879-2464
• DOI: 10.1016/j.triboint.2022.107955

The surface integrity of a material has a significant impact on fretting wear performance. Based on the analysis of the material surface integrity, the machining parameters were optimized to obtain the best fretting wear performance of CuNiAl alloy. First, the effects of ultrasonic vibration-assisted milling (UVAM) processing parameters on the surface integrity of CuNiAl alloy were studied. Consequently, the relationship between UVAM processing parameters and CuNiAl alloy surface integrity parameters was established through the optimized support vector machine (PSO-SVM) model. The relationship between the surface integrity parameters, processing parameters, and fretting wear performance was established. The best fretting wear performance was obtained at a spindle speed of 147.4 m/min, feed rate of 76 mm/min, and vibration current of 199.5 mA. •The effects of ultrasonic vibration-assisted milling (UVAM) processing parameters on the fretting wear performance and the surface integrity of the CuNiAl alloy were studied.•Improvements on the surface integrity including compressive residual stress field, refined grains, higher hardness distribution and improved stress concentration coefficient are observed in UVAM-processed samples, contributing to the promotion effects on fretting wear properties.•The relationship between UVAM parameters and surface integrity parameters was established. And the surface integrity parameters were predicted by UVAM parameters.•The best wear volume was predicted by UVAM parameters and predicted surface integrity parameters. The optimized processing parameters for the best volume were obtained. The UVAM parameters optimization for the best wear volume based on surface integrity parameters was realized.