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Delamination of Electron-Beam Physical-Vapor Deposition Thermal Barrier Coatings using Luminescent Layers

机译:使用发光层进行电子束物理气相沉积热阻挡涂层的分层

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Thermal Barrier Coatings (TBCs) protect and insulate the superalloy parts in hot sections of gas turbine engines and are used to achieve higher turbine inlet temperatures, resulting in an increase in engine efficiency and consequently a lowering of NOx emissions and fuel consumption. Such performance is only possible if the integrity of the TBC under aggressive thermo-mechanical environments is ensured. Delamination is common but characterization methods to assess the severity of the damage are lacking. In this work, a Kubelka-Munk model was constructed to quantify numerically the luminescence contrast between intact and delaminated coating areas. This method relies on the drastic change in reflectivity at the interface between the top coat and the bond coat when a delamination forms. Two distinct TBC configurations containing an erbium-doped yttria-stabilized zirconia (YSZ:Er) layer for delamination sensing were used to validate this model. An artificially-induced delamination was successfully tracked on each sample configuration by measuring the luminescence contrast at different emission lines of erbium at around 545, 562, 655 and 680 nm to further validate modeling predictions as well as to evaluate the effect of wavelength-dependent scattering of the TBC with delamination detection capabilities. Luminescence-based methods for delamination detection combined with quantification models can provide accurate diagnosis with potential for the enhanced monitoring of high-temperature coatings throughout their lifetime.
机译:热屏障涂层(TBC)保护和绝缘在燃气轮机发动机的热部分中的超合金部件,并用于实现更高的涡轮机入口温度,从而提高发动机效率,从而降低了NOx排放和燃料消耗。只有确保了TBC在积极的热机械环境下的完整性,才能实现这种性能。分层是常见的,而是评估损害严重程度的特征方法。在这项工作中,构建了Kubelka-Munk模型以量化完整和分层涂层区域之间的发光对比度。该方法依赖于在分层形式时衬垫和粘合涂层之间的界面处的反射率的激烈变化。使用具有用于分层感测的erbium掺杂的yttra稳定的氧化锆(YSZ:ER)层的两个不同的TBC配置用于验证该模型。通过测量erbium的不同排放线的发光对比度在545,562,655和680nm处的不同排放线上的发光对比,以进一步验证建模预测以及评估波长依赖性散射的影响TBC具有分层检测功能。基于发光的分层检测方法与量化模型相结合,可以提供准确的诊断,其潜力可以在其寿命中增强高温涂层的监测。

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