| Citation: | GUO Xiangdong, GUO Qiling, ZHAO Rong, et al. Effects of spurious particle images on CIP-GS cloud measurements in large-scale icing wind tunnel[J]. Journal of Aerospace Power, 2026, 41（1）：20240388 doi: 10.13224/j.cnki.jasp.20240388
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To understand the effects of spurious particle images on cloud imaging probe-grayscale (CIP-GS) measurements in large-scale icing wind tunnels, a spurious particle image identification method was developed first, and then an icing cloud measurement test was carried out in a 3 m×2 m icing wind tunnel. Based on the test results, the characteristics of spurious particle images were investigated under typical icing conditions. Finally, the influences of spurious particle images on the measurement results of cloud particle size distribution (PSD), medium volume diameter (MVD), and liquid water content (LWC) were examined, and the influencing reasons were revealed. The results showed that spurious particle images can be categorized into 4 types, including out of depth of field image (ODI), end shaded image (ESI), shattered image (SI), and non-roundness image (NRI). There were a large number of spurious particle images for the CIP-GS measurements under typical icing conditions, with the number exceeding 60% of the total particle image number, among which the ODI was the most, and the NRI was the least. The SI and NRI could significantly affect the PSD based on the particle image maximum width, where the coincidence particle images may lead to the formation of a long tail in the PSD. As a result, the corresponding MVD and LWC was extremely large in continuous maximum icing condition (CM), intermittent maximum icing condition (IM) and freezing drizzle icing condition (FZDZ), and at this time, the SI, which was less than 8% of the total particle number, can even cause the maximum anomalous growth for measured MVD and LWC up to
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