2020
DOI: 10.1016/j.ijheatmasstransfer.2020.119977
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Using the universal phase diagrams to describe pore shape development in solid for different solidification rates

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Cited by 5 publications
(5 citation statements)
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“…This is because of increase in solute amount in the boundary layer on the advancing solid-liquid interface at initial time. Predicted result also agrees with that of a single isolated pore and specification of solute concentration in liquid far from the pore [ [10] , [11] , [12] ].
Fig.
…”
Section: Resultssupporting
confidence: 78%
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“…This is because of increase in solute amount in the boundary layer on the advancing solid-liquid interface at initial time. Predicted result also agrees with that of a single isolated pore and specification of solute concentration in liquid far from the pore [ [10] , [11] , [12] ].
Fig.
…”
Section: Resultssupporting
confidence: 78%
“…Lotus-type pores in solid are algebraically predicted for different independent dimensionless working parameters based on selected typical values of = = 34, = 0.11, = 0.035, = 0.0088, = 0.008, = 0.09, = 0.03, = 790, = 7.86, = 1, w = 2.5, = 140° , and = 1 . Instead of solving simultaneous first-order ordinary equations [ 10 ], algebraic equations explicitly gain deep insight into mechanisms of length and maximum radius of lotus-type or single pores. Henry's law constants are allowed to be different at the bubble cap and top free surface, since the latter is higher than the former due to a decrease in surface curvature [ 23 ].…”
Section: Resultsmentioning
confidence: 99%
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“…Equations (10)-( 16) stand for time derivatives of advancing liquid-solid interface location, apex radius [19,20], Abel's equation of the first kind [21], pore volume below the advanced liquid-solid interface, pore volume, and liquid layer thickness and cap height [19,20], respectively. Equations (7) or (8) and (10)-( 16) are thus solved using the computer code MATLAB Simulink and Simscape (version R2020b) with the solver ode113, marching from initial condition equation (17) with the maximum time step of 10 , 2 and absolute and relative errors of 1.…”
Section: Differential Equationsmentioning
confidence: 99%