Transactions of Nanjing University of Aeronautics & Astronautics
Multiparameter Sensitivity Analysis of Supercooled Large Droplet Icing
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Abstract:
The phenomenon of supercooled large droplets （SLD） icing poses a severe threat to the safe operation of aircraft. The Sobol sequence sampling method， radial basis function（RBF） method， and Sobol’s sensitivity index analysis method are used to conduct a multiparameter sensitivity analysis of SLD icing. The influence of four parameters， including icing surface roughness， presence or absence of evaporation， droplet size distribution， and the number of shots， on the shape and amount of icing formation is analyzed. The first-order sensitivity index is used to determine the degree of influence of each parameter on the ice shape parameters， and the total sensitivity index is used to compare the influence of parameter interactions on the ice shape or amount of icing formation. It is found that there is a consistent sensitivity law of the ice shape characteristic parameters of the leading edge of the airfoil to the four parameters， all of which are most affected by the roughness of the icing surface， with a total sensitivity index of more than 0.476 1. The number of shots has the least effect， with a total sensitivity index of about 0.2， while the remaining parameters are affected by evaporation， droplet size distribution， in the descending order.
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Project Supported:
This work was supported in part by the Open Fund of Key Laboratory of Icing and Anti/De-icing （No.IADL20200305）； and the Scientific Research Project of Tianjin Municipal Education Commission （No.2020KJ036）.
Clc Number:
V211.41
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