等离子熔射制模是一个多因素影响的过程,不同工艺参数对模具表面熔射层质量的影响程度不同,同时各个参数之间有交互性和相关性。本文提出一种基于主成分分析法的等离子熔射层质量预测方法,通过对影响熔射层质量的相关因素进行主成分分析,排除次要因素,消除参数间的相关性,提取出主要参数。在此基础上建立预测模型,对不同工艺参数下等离子熔射层进行质量预测。算例表明:在熔射工艺参数中,输入功率、扫描速度对熔射层残余应力影响较大;扫描间距对熔射层孔隙率影响较大。选取两组工艺参数进行质量预测,得到熔射层残余应力和孔隙率预测值与实测结果基本一致的结论。
The plasma spray coating modeling process is influenced by numerous factors, and the degree of influence on the spray coating quality of the surfaces of dies and moulds varies with the variation of process parameters, among which there exist interdependence and correlation. The paper proposed a plasma spray coating quality forecast method based on principal component analysis, Through analysis of the factors that influence the spray coating quality, the method eliminates minor factors and correlation among parameters, thus extracting major parameters. On this basis, the paper established a model for predicting the plasma spray coating quality under different process parameters. A calculation instance indicates that the spray process parameters such as input power and scanning speed exercise greater influence on the residual stress of spray coating, whereas the scanning pitch exerts bigger influence on its porosity. Quality prediction of the selected groups of process parameters indicates that there is a basic consistency between the prediction value and measurement results of its residual stress and porosity.