Process Reliability Optimization of Plasma Spray Process Based on Uniform Design, RBF and Improved PSO

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Tao, Jie^1 ; Fang, Zixuan^1 ; Wang, Xiaodong^1 ; Hao, Zhaojun^1

Systems Engineering Research Institute, Beijing, China^1

关键词: Coating performance;    Contributing factor;    Machining equipments;    Particle swarm optimization algorithm;    Plasma spray process;    Product reliability;    Selection parameters;    Thermal spraying technology;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/2/022092/pdf
DOI  :  10.1088/1755-1315/252/2/022092

来源: IOP

【 摘 要 】

Plasma spraying is a kind of thermal spraying technology widely used in parts production. However, the coating performance can't meet requirements due to process parameters and machining equipment, which caused a bad effect on overall product reliability. It is necessary to study the reliability of plasma spraying process. Firstly, seven controllable process parameters impacting on coating quality were determined, according to engineering experience. The uniform design was selected to find the most contributing factors and primary selection parameter combination was determined. For optimality design, the RBF neural network was trained and verified by sample data. The particle swarm optimization (PSO) algorithm was used to optimize the RBF model. The optimal process parameters were obtained by improved PSO. The optimization of the process improves the process reliability of the plasma spraying and plays an important role in ensuring the reliability of the part.