In an aerospace industry, the efficient use of thermally sprayed coatings for high-temperature applications is achieved by improving the thermal characteristics (TC) such as thermal drop/barrier (TD) and thermal fatigue cycles (TFC). The characterization of ceramic coatings demands a better understanding of TC and their performance. In this paper, an attempt has been made to use hybrid Taguchi design method based grey relation analysis (GRA) for optimizing the control factors such as the thickness of coating, type of coating, bond coating and exposed temperature. The necessary experiments were carried out using Taguchi L16 factorial design of experiments for analysis based on the larger the better signal-to-noise (S/N) ratio. The multi-response/output optimization and grading of control factors were successfully carried out by GRA. The significance of each factor as regards TD and TFC were investigated. The ANOVA results showed that most important parameters at 95 % confidence level and were validated with a confirmation test using optimum process factors. It shows an improvement in the TC of thermal barrier coatings. This work revealed that the hybrid GRA with Taguchi technique had improved the durability and efficient usage of TBC for high-temperature applications.

中文翻译：

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Taguchi-Grey关系分析，用于评估高温应用中热障涂层的最佳控制因素集

在航空航天工业中，通过改善热特性（TC）（例如热降/阻隔（TD）和热疲劳循环（TFC））可有效地将热喷涂涂层用于高温应用。陶瓷涂层的特性要求对TC及其性能有更好的了解。在本文中，已经尝试使用基于Taguchi混合设计方法的灰色关联分析（GRA）优化控制因素，例如涂层厚度，涂层类型，粘结涂层和暴露温度。使用Taguchi L16析因设计实验进行了必要的实验，以便基于更好的信噪比（S / N）越大进行分析。GRA成功进行了多响应/输出优化和控制因素分级。研究了关于TD和TFC的每个因素的重要性。方差分析的结果表明，最重要的参数处于置信度为95％的水平，并且已使用最佳工艺因素进行了确认测试。它显示了隔热涂层的TC有所改善。这项工作表明，采用田口技术的GRA混合材料提高了TBC在高温应用中的耐久性和有效使用率。