Estimation of frost layer characteristics during natural convection on vertical and inverted cold surfaces based on smart approaches

Moradkhani, M.A.; GAO, Runmiao; Hosseini, S.H.; SONG, Mengjie

doi:10.1016/j.applthermaleng.2023.122090

Applied Thermal Engineering

2024

DOI: 10.1016/j.applthermaleng.2023.122090

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Estimation of frost layer characteristics during natural convection on vertical and inverted cold surfaces based on smart approaches

M.A. Moradkhani,

Runmiao GAO,

S.H. Hosseini

et al.

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2024

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Cited by 5 publications

References 80 publications

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Minimum spouting velocity of fine particles in fountain confined conical spouted beds using machine learning and least square fitting approaches

Moradkhani,

Miroliaei,

Ghasemi

et al. 2024

Can J Chem Eng

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The present study concerns the development of new models to estimate the minimum spouting velocity (Ums) in various configurations of fountain‐confined conical spouted beds (FC‐CSBs) with fine particles. Existing literature correlations were found to be inaccurate for FC‐CSBs. Therefore, smart modelling techniques were employed to design more accurate predictive tools. The radial basis function (RBF) approach provided the best predictions for systems without draft tubes as well as those with open‐sided draft tubes. Additionally, the Gaussian process regression (GPR) approach yielded the best predictions for systems with nonporous draft tubes. The mean absolute percentage error (MAPE) values for the testing phase were 5.80%, 5.67%, and 5.59%, respectively. These models consider how bed shape and particle properties affect Ums. The sensitivity analysis was conducted to determine the factors with more importance in controlling Ums. Finally, simpler correlations were derived for Ums prediction in different FC‐CSB configurations, with accuracy around 12% error.

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Minimum spouting velocity of fine particles in fountain confined conical spouted beds using machine learning and least square fitting approaches

Moradkhani,

Miroliaei,

Ghasemi

et al. 2024

Can J Chem Eng

View full text Add to dashboard Cite

show abstract

A numerical study of heterogeneous nucleation of ice crystals and frost layer growth on horizontal cold surfaces

Wang,

Cui,

et al. 2024

International Journal of Heat and Mass Transfer

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Performance prediction of co-rotating disk cavity with finned vortex reducer based on machine learning

Zhang,

Wang,

Zhang

2024

International Journal of Thermal Sciences

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Estimation of frost layer characteristics during natural convection on vertical and inverted cold surfaces based on smart approaches

Cited by 5 publications

References 80 publications

Minimum spouting velocity of fine particles in fountain confined conical spouted beds using machine learning and least square fitting approaches

Minimum spouting velocity of fine particles in fountain confined conical spouted beds using machine learning and least square fitting approaches

A numerical study of heterogeneous nucleation of ice crystals and frost layer growth on horizontal cold surfaces

Performance prediction of co-rotating disk cavity with finned vortex reducer based on machine learning

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