Thermal conductivity prediction in air plasma sprayed thermal barrier coatings containing multifarious defects
Thermal conductivity prediction in air plasma sprayed thermal barrier coatings containing multifarious defects
复制标题
含有多种缺陷的空气等离子喷涂热障涂层的热导率预测
DOI：
10.1111/jace.17848
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发表时间：
2021-04
影响因子：
3.9
通讯作者：
Pan Wei
中科院分区：
文献类型：
--
作者：
Zhao Xiaohui;Zhao Meng;Ren Xiaorui;Zheng Yixin;Xing Yan;Yang Jun;Wang Min;Wan Chunlei;Pan Wei
空气等离子喷涂氧化钇稳定氧化锆热障涂层广泛应用于燃气轮机和航空发动机中，涂层中通常含有孔隙、裂纹和非晶层等多种多样、多尺度的缺陷。它们都显着降低涂层的导热性，但根据它们的形态和取向，以截然不同的方式。建立微观结构与热导率之间的精确关系不仅需要对不同类型的缺陷进行精确的分离和估计，而且还需要一个合理的数学模型来描述它们对热导率的影响。在这项研究中，横截面离子抛光和图像分析被选为表征多孔涂层的各种缺陷的可靠组合，与传统的机械抛光相比，它几乎没有损坏。分别定量研究了不同微尺度缺陷对导热系数的影响，建立了数学模型。在模型中引入了非晶层引起的热阻，发现热阻与非晶层浓度呈线性关系。非晶层浓度与喷涂时间呈线性关系。多孔涂层的热导率预测的多种缺陷相关的模型拟合的数据使用稳态热流法非常好。这项研究证实了基于图像分析的建模作为一种简单，可靠和通用的方法用于多孔涂层系统的热导率预测的适用性。
Air plasma sprayed yttria‐stabilized zirconia thermal barrier coatings are widely applied in gas turbines and aviation engines, which usually contain multifarious and multiscale defects, such as pores, cracks, and amorphous layers. They all significantly lower the thermal conductivity of the coating but in drastically different ways depending on their morphologies and orientations. Establishing an accurate correlation between the microstructure and the thermal conductivity requires not only a precise separation and estimation of different kinds of defects but also a reasonable mathematic model to describe their effect on thermal conductivity. In this research, cross‐section ion polishing and image analysis were chosen as a reliable assembly for characterizing multifarious defects of porous coatings, which was almost undamaged compared with the traditionally mechanical polishing. The effect of different microscale defects on the thermal conductivity was respectively and quantitatively studied to build a mathematical model. A thermal resistance induced by amorphous layers was introduced into the model, which was found to have a linear relationship with the amorphous layer concentration. It was also found a linear relationship between the amorphous layer concentration and the spraying times. The predicted thermal conductivity of porous coatings by multifarious‐defect‐concerned model fits the data measured using the steady heat flow method very well. This research confirms the applicability of image‐analysis‐based modeling as a simple, reliable, and versatile method for thermal conductivity prediction of porous coating systems.
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影响因子：
5.4
作者：
Xuemei Song;Ziwei Liu;T. Suhonen;T. Varis;Liping Huang;Xuebin Zheng;Yi Zeng
通讯作者：
Xuemei Song;Ziwei Liu;T. Suhonen;T. Varis;Liping Huang;Xuebin Zheng;Yi Zeng
影响因子：
5.2
作者：
Subhasisa Nath;I. Manna;A. Jha;S. C. Sharma;S. K. Pratihar;J. Majumdar
通讯作者：
Subhasisa Nath;I. Manna;A. Jha;S. C. Sharma;S. K. Pratihar;J. Majumdar
DOI：
--
发表时间：
1990
期刊：
--
影响因子：
--
作者：
T. Renaud
通讯作者：
T. Renaud
影响因子：
9.4
作者：
Mengqiang Zhao;W. Pan
通讯作者：
Mengqiang Zhao;W. Pan
影响因子：
4.7
作者：
P. Ctibor;R. Lechnerová;V. Beneš
通讯作者：
P. Ctibor;R. Lechnerová;V. Beneš