TY - JOUR
T1 - Multi-objective optimization of processing parameters for blue laser cladded CoCrFeMnNi high-entropy alloy coating
AU - Qiu, Yuanhong
AU - Zhu, Jiangqi
AU - Feng, Litong
AU - Huang, Zhifeng
AU - Lu, Bingwen
AU - Gao, Shuohong
AU - Qiu, Hao
AU - Guo, Junfei
AU - Wang, Gang
AU - Yan, Xingchen
AU - Liu, Min
PY - 2026/6/11
Y1 - 2026/6/11
N2 - The present study investigates the processing optimization of CoCrFeMnNi high-entropy alloy (HEA) coating deposited on 45# steel using blue laser cladding. Response surface methodology was employed to systematically optimize the main processing parameters and to evaluate their interactive effects on the microhardness, dilution ratio, and width-to-height ratio (W/H) of the coating, and the optimal parameters were determined to be a laser power of 1100 W, a scanning speed of 780 mm/min, and a powder feeding speed of 9.4 g/min. Experimental verification confirmed excellent agreement with the model prediction, with deviations within 10%. Deposited using optimal processing parameters, the single-track CoCrFeMnNi HEA coating exhibited an average microhardness of 175.32 HV0.2, an average dilution ratio of 49.33%, and an average W/H of 4.19. Microstructural analysis reveals that the coating is predominantly composed of a face-centered cubic solid-solution. The microstructure exhibited equiaxed grains at the top and columnar grains in the middle region, as well as a metallurgical bonding layer with a thickness of around 25 μm. The coating demonstrated improved wear and corrosion resistance compared with the substrate, showing a coefficient of friction of about 0.503, a wear rate of 2.99 × 10−5 mm3/(N·m), which is 53% lower than that of 45# steel, and superior corrosion performance with a corrosion potential of −385.23 mV and a corrosion current density of 1.996 μA/cm2. These findings provide theoretical and experimental guidance for the efficient fabrication of high-quality HEA coatings using blue laser cladding. © 2026 Elsevier Ltd
AB - The present study investigates the processing optimization of CoCrFeMnNi high-entropy alloy (HEA) coating deposited on 45# steel using blue laser cladding. Response surface methodology was employed to systematically optimize the main processing parameters and to evaluate their interactive effects on the microhardness, dilution ratio, and width-to-height ratio (W/H) of the coating, and the optimal parameters were determined to be a laser power of 1100 W, a scanning speed of 780 mm/min, and a powder feeding speed of 9.4 g/min. Experimental verification confirmed excellent agreement with the model prediction, with deviations within 10%. Deposited using optimal processing parameters, the single-track CoCrFeMnNi HEA coating exhibited an average microhardness of 175.32 HV0.2, an average dilution ratio of 49.33%, and an average W/H of 4.19. Microstructural analysis reveals that the coating is predominantly composed of a face-centered cubic solid-solution. The microstructure exhibited equiaxed grains at the top and columnar grains in the middle region, as well as a metallurgical bonding layer with a thickness of around 25 μm. The coating demonstrated improved wear and corrosion resistance compared with the substrate, showing a coefficient of friction of about 0.503, a wear rate of 2.99 × 10−5 mm3/(N·m), which is 53% lower than that of 45# steel, and superior corrosion performance with a corrosion potential of −385.23 mV and a corrosion current density of 1.996 μA/cm2. These findings provide theoretical and experimental guidance for the efficient fabrication of high-quality HEA coatings using blue laser cladding. © 2026 Elsevier Ltd
KW - Blue laser cladding
KW - CoCrFeMnNi
KW - High-entropy alloy coating
KW - Multi-objective optimization
KW - Response surface methodology
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105041371909&origin=recordpage
U2 - 10.1016/j.optlastec.2026.115680
DO - 10.1016/j.optlastec.2026.115680
M3 - RGC 21 - Publication in refereed journal
SN - 0030-3992
VL - 203
JO - Optics and Laser Technology
JF - Optics and Laser Technology
IS - Part B
M1 - 115680
ER -
SDG 9 Industry, Innovation, and Infrastructure