Journal article
Saad Akhtar, Minghan Xu, Agus P Sasmito
International Journal of Heat and Mass Transfer, vol. 166, Elsevier, 2021, p. 120734
International Journal of Heat and Mass Transfer, vol. 166, Elsevier, 2021, p. 120734
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Cite
APA
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Akhtar, S., Xu, M., & Sasmito, A. P. (2021). Development and validation of a semi-analytical framework for droplet freezing with heterogeneous nucleation and non-linear interface kinetics. International Journal of Heat and Mass Transfer, 166, 120734. https://doi.org/10.1016/j.ijheatmasstransfer.2020.120734
Chicago/Turabian
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Akhtar, Saad, Minghan Xu, and Agus P Sasmito. “Development and Validation of a Semi-Analytical Framework for Droplet Freezing with Heterogeneous Nucleation and Non-Linear Interface Kinetics.” International Journal of Heat and Mass Transfer 166 (2021): 120734.
MLA
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Akhtar, Saad, et al. “Development and Validation of a Semi-Analytical Framework for Droplet Freezing with Heterogeneous Nucleation and Non-Linear Interface Kinetics.” International Journal of Heat and Mass Transfer, vol. 166, Elsevier, 2021, p. 120734, doi:10.1016/j.ijheatmasstransfer.2020.120734.
BibTeX Click to copy
@article{akhtar2021a,
title = {Development and validation of a semi-analytical framework for droplet freezing with heterogeneous nucleation and non-linear interface kinetics},
year = {2021},
journal = {International Journal of Heat and Mass Transfer},
pages = {120734},
publisher = {Elsevier},
volume = {166},
doi = {10.1016/j.ijheatmasstransfer.2020.120734},
author = {Akhtar, Saad and Xu, Minghan and Sasmito, Agus P}
}
- We present a novel, semi-analytical framework which accurately predicts every stage of droplet freezing.
- Supercooling degree of the freezing droplet is computed by coupling the 1-D transient heat conduction equation in spherical coordinates with a modified heterogeneous nucleation model.
- A novel dendritic growth model for crystal propagation is developed, which takes into account the effects of non-linear interface kinetics and surface curvature.
- The analytical framework developed is a reduced-order freezing model that is fast to compute and yields accurate results.
- The framework presented can be useful as a subgrid model for high-fidelity crystal growth and spray freezing simulations.
