基于孔隙率的Cr_2O_3涂层工艺优化及回归分析  被引量:12

Process Optimization and Regression Analysis of Cr_2O_3 Coating Based on Porosity

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作  者:毛杰[1] 邓畅光[1] 邓春明[1] 宋进兵[1] 欧献[1] 

机构地区:[1]广州有色金属研究院新材料研究所,广州510651

出  处:《中国表面工程》2013年第4期38-43,共6页China Surface Engineering

基  金:国际科技合作项目(2011DFB50030);国家重点基础研究发展计划(973计划)(2012CB625101)

摘  要:孔隙率是评价Cr2O3涂层质量的重要指标之一。根据Box-Behnken二阶响应曲面法设计了3因素3水平的回归分析试验,采用大气等离子喷涂技术在TC4钛合金表面制备了Cr2O3涂层,以不同工艺条件下的涂层孔隙率作为响应值,建立了喷涂电流、等离子气体和喷距影响因子与响应输出之间的数学模型,讨论了3种影响因子的显著性及交互作用影响,得到涂层孔隙率的连续变量响应曲面和等高曲线。模型可以用于大气等离子喷涂Cr2O3涂层的工艺优化和性能预测,最小孔隙率的预测参数是电流I=500A,氩气流量QAr=40L/min和喷距d=80mm,能获得的最小孔隙率为1.5%。Porosity is one of the important indexes to evaluate the property of Cr2O3 coating. According to BoxBehnken secondorder response surface methodology, a regression analysis experiment with three factors and three levels was designed. Cr2O3 coating on TC4 titanium alloy was prepared by atmospheric plasma spraying, and porosity under different process conditions was measured as the response value. The mathematical model was established between influence factors (spraying current, plasma gas, spray distance, and the response value). The significance of separate factor and interaction effects were also discussed. Response surfaces and contour curves of continuous variables about coating porosity were obtained for process optimization and performance prediction of Cr2O3 coating sprayed by atmospheric plasma spraying. These predicted parameters, which can obtain the minimum porosity of 1.5%, are the current I=500 A, flow of argon, QAr=40 L/min and spray distance d=80 mm.

关 键 词:大气等离子喷涂 CR2O3涂层 孔隙率 响应曲面法 

分 类 号:TG174.442[金属学及工艺—金属表面处理]

 

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