| Citation: | Guo Xiangdong, Guo Qiling, Zhao Rong, et al. Effects of particle coincidence errors on CDP cloud measurements in large-scale icing wind tunnel[J]. Journal of Aerospace Power, 2026, 41（7）：20240320 doi: 10.13224/j.cnki.jasp.20240320
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To understand the effects of particle coincidence errors on the CDP cloud measurement in the large-scale icing wind tunnel, an icing cloud measurement test was conducted in the CARDC icing wind tunnel. Based on the test, the variation characteristics of CDP-measured cloud microphysical parameters, including total cloud number concentration, medium volume diameter, and liquid water content, were investigated for different nozzle number ratio and test section velocity conditions. Subsequently, the effects of the particle coincidence errors on CDP measurement results were analyzed. Finally, an assessment method of the particle coincidence intensity was presented based on the average transit distance. Results showed that either increasing nozzle number ratio or decreasing test section velocity could extend the average transit time, thereby enhancing the particle coincidence intensity. Under high concentration cloud conditions, significant particle coincidence errors not only changed the time-resolved characteristics of the measured cloud microphysical parameters, but also altered the cloud particle size distribution patterns, drastically reducing the total cloud number concentration, and greatly increasing the medium volume diameter and liquid water content. Consequently, the CDP’s ability to accurately capture the variation characteristics of real cloud microphysical parameters was compromised. The average transit distance can better characterize the particle coincidence intensity of the CDP in comparison with the average transit time.
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