Abstract Pressure-sensitive paint (PSP) has become an important technique for global pressure measurement on rotating surfaces such as helicopter rotor blades. Due to the temperature sensitivity of PSP, it is essential to apply accurate temperature correction method in PSP measurements. In previous studies, one-dimensional (1D) correction methods were generally adopted which only considered the radial temperature gradient on the blade. However, in the current study, it was found that the systematic error of this 1D assumption was non-negligible in large-scale experiments due to the growing chordwise temperature gradient. Accordingly, a two-dimensional (2D) temperature correction method considering both radial and chordwise temperature gradients was developed to improve the accuracy of PSP. In this method, a 2D temperature map was firstly generated based on the TSP results. Calibrations were then conducted under a series of temperature and pressure values to generate a calibration surface. According to the calibration results, the pressure and temperature fields on the rotor blade were solved directly. The proposed 2D method was validated through PSP measurements on a 2 m diameter BO-105 helicopter rotor in hover. Compared with 1D temperature correction, the results from the current method showed clearly improved agreement with the CFD results and reduced overall measurement error. Graphic abstract

中文翻译：

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直升机旋翼桨叶压敏涂料测量二维温度修正方法

摘要 压敏涂料（PSP）已成为直升机旋翼叶片等旋转表面全局压力测量的重要技术。由于 PSP 的温度敏感性，在 PSP 测量中应用准确的温度校正方法至关重要。在以往的研究中，一般采用仅考虑叶片径向温度梯度的一维（1D）校正方法。然而，在目前的研究中，发现由于弦向温度梯度的增加，这种一维假设的系统误差在大规模实验中是不可忽略的。因此，开发了一种同时考虑径向和弦向温度梯度的二维 (2D) 温度校正方法，以提高 PSP 的精度。在这种方法中，首先根据 TSP 结果生成二维温度图。然后在一系列温度和压力值下进行校准以生成校准表面。根据标定结果，直接求解转子叶片上的压力和温度场。所提出的 2D 方法通过对 2 m 直径 BO-105 直升机旋翼悬停的 PSP 测量进行验证。与一维温度校正相比，当前方法的结果与 CFD 结果的一致性明显提高，并降低了整体测量误差。图形摘要 直接求解转子叶片上的压力和温度场。所提出的 2D 方法通过对 2 m 直径 BO-105 直升机旋翼悬停的 PSP 测量进行验证。与一维温度校正相比，当前方法的结果与 CFD 结果的一致性明显提高，并降低了整体测量误差。图形摘要 直接求解转子叶片上的压力和温度场。所提出的 2D 方法通过对 2 m 直径 BO-105 直升机旋翼悬停的 PSP 测量进行了验证。与一维温度校正相比，当前方法的结果与 CFD 结果的一致性明显提高，并降低了整体测量误差。图形摘要