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Predicting the Deposition Efficiency of Plasma Sprayed Alumina Coatings on AZ31B Magnesium Alloy by Response Surface Methodology

机译:通过响应表面方法预测AZ31B镁合金上等离子体喷涂氧化铝涂层的沉积效率

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Plasma sprayed ceramic coatings are successfully employed in many industrial applications, where high wear and corrosion resistance with thermal insulation are needed. Plasma spray parameters such as power, stand-off distance and powder feed rate have significant influence on coating characteristics like deposition efficiency. This paper presents the use of statistical techniques specially response surface methodology (RSM), analysis of variance, and regression analysis to develop empirical relationships to predict deposition efficiency of plasma sprayed alumina coatings on AZ31B magnesium alloy. The developed empirical relationships can be efficiently used to predict deposition efficiency of plasma sprayed alumina coatings at 95% confidence level. Response graphs and contour plots were constructed to identify the optimum plasma spray parameters to attain maximum deposition efficiency in alumina coatings. Further, correlating the spray parameters with coating properties permits the identification of characteristics regime to achieve desired quality of coatings.
机译:等离子喷涂陶瓷涂层在许多工业应用中,其中需要高的耐磨性和耐腐蚀性具有保温成功地采用。等离子体喷涂参数如功率,隔离距离和粉末进料速率有上涂覆类似的沉积效率特性显著影响。本文介绍了使用统计技术专门响应面分析法(RSM),方差分析,并回归分析来开发经验关系来预测等离子体的沉积效率喷洒在AZ31B镁合金的氧化铝涂层。所开发的经验关系可有效地用于预测沉积效率的等离子喷涂在95%置信水平的氧化铝涂层。响应的曲线图和等高线图被构建,以确定最佳的等离子体喷涂参数以得到最大的沉积效率在氧化铝涂层。此外,喷涂参数与涂层性质关联允许特性制度的标识,以实现涂层的所需的质量。

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