TY - JOUR
T1 - Partial melting time model verification of a levitated ice particle
AU - Han, Yiqiang
AU - Kala, Shivuday
AU - Yan, Sihong
AU - Palacios, Jose
N1 - Funding Information:
This material is based upon partial work supported by NASA under Award No. NNX12AK16A. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author and do not necessarily reflect the views of NASA. The authors would like to thank the NASA icing branch team for the funding and for all their support and guidance during the effort. The U.S. Government is authorized to reproduce and distribute reprints notwithstanding any copyright notation thereon. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Government.
Funding Information:
This material is based upon partial work supported by NASA under Award No. NNX12AK16A . Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author and do not necessarily reflect the views of NASA. The authors would like to thank the NASA icing branch team for the funding and for all their support and guidance during the effort. The U.S. Government is authorized to reproduce and distribute reprints notwithstanding any copyright notation thereon. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Government.
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/5
Y1 - 2020/5
N2 - Experimental and analytical results modeling partially melting ice particles are presented in this research paper. The partially melting behavior of ice particles is of interest in the context of aircraft engines, as glaciated ice crystals partially melt inside the engine to potentially refreeze. The multi-phase flow process is complex and requires experimentally verified modeling tools to predict ice crystal ice accretion. In this study, a total of 14 experimental test cases were conducted under a controlled environment. The partially melting state was quantified using a luminescence technique with the assistance of acoustic levitation of the droplets. Analytical modeling of the melting process was then conducted. The model includes important parameters such as ambient temperature, relative humidity, or saturated vapor density into consideration to predict the partial melting state of the glaciated water droplets subjected to convective heating. The proposed model is effective in capturing the general trend of the melting curves obtained from the experimental data. The predictions of overall melting time for the entire 14 cases were found to be accurate with 4% mean discrepancy between model and experimental data for ice particles greater than 400 μm.
AB - Experimental and analytical results modeling partially melting ice particles are presented in this research paper. The partially melting behavior of ice particles is of interest in the context of aircraft engines, as glaciated ice crystals partially melt inside the engine to potentially refreeze. The multi-phase flow process is complex and requires experimentally verified modeling tools to predict ice crystal ice accretion. In this study, a total of 14 experimental test cases were conducted under a controlled environment. The partially melting state was quantified using a luminescence technique with the assistance of acoustic levitation of the droplets. Analytical modeling of the melting process was then conducted. The model includes important parameters such as ambient temperature, relative humidity, or saturated vapor density into consideration to predict the partial melting state of the glaciated water droplets subjected to convective heating. The proposed model is effective in capturing the general trend of the melting curves obtained from the experimental data. The predictions of overall melting time for the entire 14 cases were found to be accurate with 4% mean discrepancy between model and experimental data for ice particles greater than 400 μm.
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U2 - 10.1016/j.coldregions.2020.103013
DO - 10.1016/j.coldregions.2020.103013
M3 - Article
AN - SCOPUS:85080989992
VL - 173
JO - Cold Regions Science and Technology
JF - Cold Regions Science and Technology
SN - 0165-232X
M1 - 103013
ER -