Effects of Laser Scanning Rate and Ti Content on Wear of Novel Fe-Cr-B-Al-Ti Coating Prepared via Laser Cladding

Gu, Jian; Ju, Jiang; Wang, Rui; Li, Jingjing; Yu, Hongyao; Wang, Kaiming

doi:10.1007/s11666-022-01465-2

Cited by 13 publications

(1 citation statement)

References 40 publications

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“…In the study of laser cladding process parameters, many scholars have adopted singlefactor experiments to study the process parameters in which they are interested. Among them, the more studied parameters are the laser power, powder feeding rate, and scanning speed [55][56][57][58]. Pornsak et al [59] observed the cladding process in real time by using an infrared camera with image analysis software.…”

Section: Single-factor Experimentsmentioning

confidence: 99%

An Overview of Technological Parameter Optimization in the Case of Laser Cladding

et al. 2023

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This review examines the methods used to optimize the process parameters of laser cladding, including traditional optimization algorithms such as single-factor, regression analysis, response surface, and Taguchi, as well as intelligent system optimization algorithms such as neural network models, genetic algorithms, support vector machines, the new non-dominance ranking genetic algorithm II, and particle swarm algorithms. The advantages and disadvantages of various laser cladding process optimization methods are analyzed and summarized. Finally, the development trend of optimization methods in the field of laser cladding is summarized and predicted. It is believed that the result would serve as a foundation for future studies on the preparation of high-quality laser cladding coatings.

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