Abstract：A simulation scheme was designed with response surface methodology (RSM) to reveal the influence
law of the interaction of input parameters in laser cladding on the convergence of powder flow as well as improve
powder utilization in the cladding process. Regression equation was established by fitting functional relationship
between the input parameters and the characteristic parameters of powder flow to present the influence law of the
input parameters and their interaction on average powder concentration and powder-spot diameter on the substrate.
The research result show that average powder concentration on the substrate is significantly affected by airflow,
powder-feeding voltage, nozzle′s working height, the interaction term of airflow and nozzle′s working height, the
interaction term of powder-feeding voltage and nozzle′s working height, and the quadratic term of nozzle′s working
height. The airflow and working height of the nozzle significantly affect the diameter of the powder spots on the
substrate. Average powder concentration on the substrate decreases with increased airflow and increased nozzles′
working height, and increases with increased powder-feeding voltage. The diameter of the powder spots on the substrate
increas with increased nozzle′s working height and increased airflow. The optimization goal referred to the
maximum average powder concentration on the substrate and the minimum powder spot diameter. The simulated
values of average powder concentration on the substrate and powder-spot diameters are compared with the predicted values, and the errors are 6.6 and 1.74%, respectively. The work can provide theoretical guidance for the parameter
selection of laser cladding technology in industrial applications.
褚梦雅，练国富，冯美艳，陈昌荣，兰如清. 基于响应面法的激光熔覆Ni基涂层气粉两相流研究[J]. 粉末冶金工业, 2023, 33(04): 106-114.
CHU Mengya，LIAN Guofu，FENG Meiyan，CHEN Changrong，LAN Ruqing. A study on gas-powder two-phase flow of Ni-based coatings by laser cladding based on response surface methodology. Powder Metallurgy Industry, 2023, 33(04): 106-114.
2023, Vol. 33 
