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International journal of refrigeration = Revbue internationale du froid v.74, 2017년, pp.313 - 323   SCI SCIE
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Une corrElation semi-empirique pour prEdire la densitE de givre sur des substrats hydrophiles et hydrophobes
A semi-empirical correlation for predicting the frost density on hydrophilic and hydrophobic substrates

Sommers, Andrew D. (Department of Mechanical and Manufacturing Engineering, Miami University, 56 Garland Hall, 650 East High Street, Oxford, OH 45056, USA ); Napora, Andrew C. (Department of Mechanical and Manufacturing Engineering, Miami University, 56 Garland Hall, 650 East High Street, Oxford, OH 45056, USA ); Truster, Nicholas L. (Department of Mechanical and Manufacturing Engineering, Miami University, 56 Garland Hall, 650 East High Street, Oxford, OH 45056, USA ); Caraballo, Edgar J. (Department of Mechanical and Manufacturing Engineering, Miami University, 56 Garland Hall, 650 East High Street, Oxford, OH 45056, USA ); Hermes, Christian J.L. (Department of Mechanical Engineering, Federal University of Paraná, 81531990 Curitiba, PR, Brazil );
  • 초록  

    Abstract A new semi-empirical correlation for the prediction of frost density on hydrophilic and hydrophobic surfaces is proposed. The proposed correlation is a function of the modified Jakob number and contains two correction terms, one for surface contact angle and another for relative humidity. Whereas most frost correlations exclude surface wettability as a parameter, our research has shown that the surface contact angle can be important when trying to accurately predict the properties of a growing frost layer. The correlation was developed using data from three different surfaces. On each surface, the frost was grown for three hours and then defrosted. The proposed correlation predicted more than 93% of the data to within a ±20% error band and is proposed for use on surfaces with contact angles 45° θ T w Highlights Surface energy can influence frost density on hydrophilic and hydrophobic surfaces. A new semi-empirical correlation for the prediction of frost density is proposed. New correlation predicts more than 93% of the data (n = 522) to within ±20%. Correlation is proposed for use on surfaces with contact angles 45° θ Larger frost density values are predicted on hydrophilic surfaces.


  • 주제어

    Frost growth .   Aluminum .   Contact angle .   Surface wettability .   Frost density .   Hydrophilic .   Hydrophobic .   Croissance de givre .   Aluminium .   Angle de contact .   Mouillabilité de surface .   Densité de givre .   Hydrophile .   Hydrophobe.  

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