Measuring Atmospheric Icing Rate in Mixed-Phase Clouds Using Filtered Particle Data
نویسندگان
چکیده
In-cloud icing of objects is caused by supercooled microscopic water droplets carried the wind. To estimate rate in such conditions, liquid content (LWC) cloud and median volume diameter (MVD) are measured. Mixed-phase clouds also contain ice crystals that must be ruled out order to avoid overestimation rate. Typically, droplet instruments not able do this. A particle imaging instrument condition evaluation method (ICEMET) was used observe in-cloud conditions. This lensless device uses a computational reconstruct shadow images objects. The size, position, shape descriptors each These data then filter crystals. size distribution measurement determine LWC MVD. performance tested under mixed-phase conditions wind tunnel on turbine. measured MVD values were model accretion cylinder-shaped object according ISO 12494:2017 standard. In tunnel, modeled mass compared with weighed collected cylinder. According our results, rates overestimated 65.6% average without filtering Thus, ability distinguish between essential for estimating properly.
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ژورنال
عنوان ژورنال: IEEE Transactions on Instrumentation and Measurement
سال: 2021
ISSN: ['1557-9662', '0018-9456']
DOI: https://doi.org/10.1109/tim.2020.3035562