Research on Multi-factor Parameter Optimization Methods for Quality Control of Plasma Spraying Coatings:a Review
HAN Bingyuan1,2, XU Wenwen1, ZHU Sheng2, HUANG Qingwei3, LEI Weining1, HANG Weixing1, DU Wei1
1 School of Automotive and Traffic Engineering, Jiangsu University of Technology, Changzhou 213001, China 2 National Key Laboratory for Remanufacturing, Beijing 100072, China 3 National Key Laboratory for Human Factors Engineering, China Astronaut Research and Training Center, Beijing 100094, China
Abstract: Plasma spraying, as an important surface engineering technology, has been widely used to improve the wear resistance, corrosion resis-tance and high temperature resistance of parts. Due to the fact that the properties of plasma sprayed coating is determined by many factors, it is of great significance to investigate the complex but related mapping relationship between coating quality and process parameters for obtaining high quality coating and improving spraying efficiency. In this paper, the research status of orthogonal experiment, response method, artificial neural network and other mathematical statistical methods in the field of coating quality optimization is reviewed, and the characteristics of various statistical methods and the variation law of typical coating with process parameters are summarized. The results indicate that the micro-hardness and bonding strength of typical coatings are improved significantly after optimization, i.e. Al2O3 coating and Ni coating, etc; the addition of TiO2 has a significant effect on the properties of the Al2O3 coating; different classification methods of response surface are introduced in detail. Based on the analysis of typical coating experiments, it is concluded that BBD design is more widely used when the number of factors is the same and there is no danger that the experimental points exceed the original level; the research of traditional and improved artificial neural network mo-dels in prediction and optimization of plasma sprayed coatings are introduced. Finally, the application of mathematical statistics method in the field of plasma spraying coating quality optimization is summarized, and the future development direction is prospected.
韩冰源, 徐文文, 朱胜, 黄庆伟, 雷卫宁, 杭卫星, 杜伟. 面向等离子喷涂涂层质量调控的工艺优化方法研究现状[J]. 材料导报, 2021, 35(21): 21105-21112.
HAN Bingyuan, XU Wenwen, ZHU Sheng, HUANG Qingwei, LEI Weining, HANG Weixing, DU Wei. Research on Multi-factor Parameter Optimization Methods for Quality Control of Plasma Spraying Coatings:a Review. Materials Reports, 2021, 35(21): 21105-21112.
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2021, Vol. 35 
