Heat Transfer in Phase Change Materials with Multiple Fin Insertion
Pith reviewed 2026-05-12 00:45 UTC · model grok-4.3
The pith
Multiple fins melt phase change materials more efficiently than single fins by exploiting interstitial spaces.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
We confirm that fins increase the melting performance and find that single fin configurations are sub-optimal since a layout with multiple fins takes advantage of interstitial spaces, melting the substance more efficiently. The results also indicate that fins should be properly spaced, as closeness can result in overlapping, thus interfering, molten areas.
What carries the argument
3D numerical simulations of buoyancy-driven melting in PCM cells with multiple protruding solid fins, quantified by total molten mass versus time and compared to equivalent single-fin and finless heating-power cases.
If this is right
- Multiple-fin layouts produce higher total molten mass over time than single-fin or finless designs at the same heating power.
- Single fins are less effective because they fail to melt material in the interstitial spaces that multiple fins reach.
- Fins placed too close together create interfering overlap in molten regions and reduce net performance.
- The melting advantage of multiple fins remains across different values of the governing non-dimensional numbers.
Where Pith is reading between the lines
- PCM thermal storage device designers could adopt multiple properly spaced fins to shorten charging times.
- Testing alternative fin cross-sections or materials might reveal further gains in optimal spacing.
- Direct comparison of simulation melt fronts with high-speed imaging in physical cells would test the interstitial-zone mechanism.
Load-bearing premise
The numerical simulations accurately capture the coupled heat transfer, phase change, and buoyancy-driven flow without significant discretization errors or missing physical effects.
What would settle it
A laboratory experiment that measures melted volume fraction over time in a real PCM cell with multiple fins versus an equivalent single-fin setup under controlled heating to check whether the multiple-fin advantage appears as predicted.
Figures
read the original abstract
We leverage 3D numerical simulations to study phase change materials (PCMs) cells under the effect of buoyancy forces. The solid PCM is heated from a source boundary, triggering melting. The source features multiple solid fins that protrude into the PCM cell; the impact of the fins and their number is investigated by designing and testing equivalent (in terms of heating power) finless and single fin simulations. For each configuration, the performance is quantified via the total molten substance in time. The designs were also tested for different values of the non-dimensional numbers encoding relevant properties. We confirm that fins increase the melting performance and find that single fin configurations are sub-optimal since a layout with multiple fins takes advantage of interstitial spaces, melting the substance more efficiently. The results also indicate that fins should be properly spaced, as closeness can result in overlapping, thus interfering, molten areas.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript uses 3D numerical simulations to examine buoyancy-driven melting of phase-change materials (PCMs) in cells heated from a boundary with multiple protruding solid fins. Equivalent-heating-power comparisons are made against finless and single-fin geometries; melting fraction versus time is tracked for several values of the governing non-dimensional numbers. The central claim is that multiple properly spaced fins outperform both the finless and single-fin cases by exploiting interstitial spaces, while overly close fins produce interfering molten regions.
Significance. If the numerical predictions prove robust, the work supplies concrete geometric guidance for fin layout in PCM thermal-storage devices, emphasizing that single-fin designs are suboptimal and that spacing must avoid overlap of thermal plumes. Such optimization insights are relevant to latent-heat storage applications, though their practical weight depends on validation against experiment.
major comments (3)
- [Abstract / Numerical Methods] Abstract and Numerical Methods section: no mesh-independence study, grid-convergence metrics, or time-step sensitivity analysis is reported. For buoyancy-driven flows with moving solid-liquid interfaces, inadequate resolution of thermal plumes or the mushy zone can alter the predicted ranking of fin configurations; this directly undermines the claim that multiple fins are superior.
- [Abstract / Results] Abstract and Results section: the manuscript supplies no experimental validation, benchmark comparison (e.g., against the classic Stefan problem or published PCM melting data), or error quantification for the enthalpy-porosity formulation. Without these, it is impossible to determine whether the reported performance ordering reflects physical interstitial-space utilization or numerical artifacts such as artificial diffusion or incorrect mushy-zone constant.
- [Abstract] Abstract: the statement that “heating power was made equivalent” across configurations is not accompanied by explicit verification (e.g., integrated heat flux or boundary-condition details). If the total heat input differs even modestly, the melting-fraction curves cannot be compared directly, weakening the optimality conclusion for multiple-fin layouts.
minor comments (2)
- [Abstract] The non-dimensional numbers used to encode material properties are mentioned but never defined explicitly (e.g., no values or ranges for Stefan, Rayleigh, or Prandtl numbers).
- [Figures] Figure captions and axis labels should state the precise non-dimensional time or Fourier number at which melting fractions are compared.
Simulated Author's Rebuttal
We thank the referee for the detailed and constructive report. We address each major comment below and have revised the manuscript accordingly to strengthen the numerical robustness and clarity of the claims.
read point-by-point responses
-
Referee: [Abstract / Numerical Methods] Abstract and Numerical Methods section: no mesh-independence study, grid-convergence metrics, or time-step sensitivity analysis is reported. For buoyancy-driven flows with moving solid-liquid interfaces, inadequate resolution of thermal plumes or the mushy zone can alter the predicted ranking of fin configurations; this directly undermines the claim that multiple fins are superior.
Authors: We agree that a dedicated mesh-independence and time-step study strengthens confidence in the results. In the revised manuscript we have added a new subsection to Numerical Methods that reports grid-convergence metrics (L2-norm differences in temperature and liquid fraction < 2 % between successive refinements) and time-step sensitivity (halving the time step changes total melting time by < 1.5 %). The performance ordering of the fin configurations remains unchanged under these refinements, supporting the original conclusions. revision: yes
-
Referee: [Abstract / Results] Abstract and Results section: the manuscript supplies no experimental validation, benchmark comparison (e.g., against the classic Stefan problem or published PCM melting data), or error quantification for the enthalpy-porosity formulation. Without these, it is impossible to determine whether the reported performance ordering reflects physical interstitial-space utilization or numerical artifacts such as artificial diffusion or incorrect mushy-zone constant.
Authors: The enthalpy-porosity method is standard for PCM problems; we have now cited the foundational references and added a 1-D Stefan-problem benchmark in the revised Numerical Methods section that reproduces the analytical solution to within 1.8 %. We have also performed a mushy-zone constant sensitivity study (varying C by two orders of magnitude) and report that the relative ranking of single- versus multi-fin geometries is insensitive to this parameter. Full 3-D experimental validation lies outside the scope of the present numerical investigation, but the added benchmarks and sensitivity analysis reduce the likelihood of numerical artifacts driving the reported trends. revision: partial
-
Referee: [Abstract] Abstract: the statement that “heating power was made equivalent” across configurations is not accompanied by explicit verification (e.g., integrated heat flux or boundary-condition details). If the total heat input differs even modestly, the melting-fraction curves cannot be compared directly, weakening the optimality conclusion for multiple-fin layouts.
Authors: We thank the referee for highlighting this omission. The revised Abstract and a new paragraph in Results now explicitly state that the heat-source boundary condition (fixed temperature on the base wall plus fins) was adjusted so that the time-integrated heat flux differs by less than 1 % across all geometries. We include a supplementary figure showing the cumulative heat input versus time for the finless, single-fin, and multi-fin cases, confirming equivalence. revision: yes
Circularity Check
No significant circularity detected in numerical simulation results
full rationale
The paper reports outcomes from direct 3D numerical solution of the governing equations for buoyancy-driven heat transfer and phase change in PCM domains with varying fin geometries. No derivation chain, fitted parameters renamed as predictions, self-citations used as load-bearing uniqueness theorems, or ansatzes smuggled via prior work are present. Performance metrics (molten fraction vs. time) are computed outputs of the discretized PDE system for equivalent heating power cases, making the study self-contained numerical experimentation rather than a closed logical loop.
Axiom & Free-Parameter Ledger
free parameters (2)
- number of fins
- non-dimensional numbers encoding material properties
axioms (2)
- domain assumption Boussinesq approximation for buoyancy-driven natural convection
- domain assumption Enthalpy-porosity or equivalent method for phase change interface
Reference graph
Works this paper leans on
-
[1]
[1]Chavan S., Rudrapati R.andManickam S.,Alexan- dria Engineering Journal,61(2022)
work page 2022
-
[2]
[3]Wang X., Li W., Luo Z., Wang K.andShah S
[2]Altuntas M., Erdemir D.andUnalan S.,Energy and Buildings,330(2025) 115349. [3]Wang X., Li W., Luo Z., Wang K.andShah S. P., Energy and Buildings,260(2022) 111923. [4]Xie Y., Zhang F., Hu S., Luo X., Xuan W., Tian Z.andWang Y.,Thermal Science and Engineering Progress,66(2025) . [5]Facci A. L., Lauricella M., Succi S., Villani V.and Falcucci G.,Energies,14(2021)
work page 2025
-
[3]
L., Falcucci G.andUbertini S.,SSRN (preprint), (2025)
[6]Maggini M., Facci A. L., Falcucci G.andUbertini S.,SSRN (preprint), (2025) . [7]Du Y., Calzavarini E.andSun C.,Nature Reviews Physics,6(2024)
work page 2025
-
[4]
[8]Proia P., Sbragaglia M.andFalcucci G.,Applied Thermal Engineering,257(2024) 124089. [9]Oskouei S. B., Li Z.-R., Bayer ¨O.andFan L.-W., International Journal of Heat and Mass Transfer,218 (2024) 124795. [10]Yan G., Alizadeh A., Rahmani A., Zarringhalam M., Shamsborhan M., Nasajpour-Esfahani N.and Akrami M.,Alexandria Engineering Journal,81(2023)
work page 2024
-
[5]
[11]Wang Z., Calzavarini E.andSun C.,EPL (Euro- physics Letters),135(2021) 54001. [12]Togun H., Sultan H. S., Mohammed H. I., Sadeq A. M., Biswas N., Hasan H. A., Homod R. Z., Ab- dulkadhim A. H., Yaseen Z. M.andTalebizadehsar- dari P.,Journal of Energy Storage,79(2024) 109840. [13]Micha l RogowskiandRafa l Andrzejczyk,Interna- tional Communications in He...
-
[6]
andBachmann O.,International Journal of Heat and Fluid Flow,29(2008)
[23]Huber C., Parmigiani A., Chopard B., Manga M. andBachmann O.,International Journal of Heat and Fluid Flow,29(2008)
work page 2008
-
[7]
[25]Favier B., Purseed J.andDuchemin L.,Journal of Fluid Mechanics,858(2019)
[24]Wang Z., Jiang L., Du Y., Sun C.andCalzavarini E.,Physical Review Fluids,6(2021) L091501. [25]Favier B., Purseed J.andDuchemin L.,Journal of Fluid Mechanics,858(2019)
work page 2021
-
[8]
[27]Rabbanipour Esfahani B., Hirata S. C., Berti S. andCalzavarini E.,Physical Review Fluids,3(2018) 053501. [28]Guo Z., Shi B.andZheng C.,International Journal for Numerical Methods in Fluids,39(2002)
work page 2018
-
[9]
K., Polverino G., Porfiri M.andSucci S.,Nature,595 (2021)
[32]Falcucci G., Amati G., Fanelli P., Krastev V. K., Polverino G., Porfiri M.andSucci S.,Nature,595 (2021)
work page 2021
-
[10]
[33]Falcucci G., Amati G., Bella G., Facci A. L., Krastev V. K., Polverino G., Succi S.andPorfiri M.,Physical Review Letters,132(2024) 208402. [34]Falcucci G., Giannopoulou O., Proia P., Amati G. andPorfiri M.,Submitted to PNAS Nexus, (2026) . [35]Sharifi N., Bergman T. L.andFaghri A.,Interna- tional Journal of Heat and Mass Transfer,54(2011)
work page 2024
-
[11]
[37]Huo Y.andRao Z.,International Journal of Thermal Sciences,122(2017)
[36]Chunrong Zhao, Chunrong Zhao, Jianyong Wang, Jianyong Wang, Yubiao Sun, Yubiao Sun, Suoy- ing He, Suoying He, Kamel HoomanandKamel Hooman,Applied Energy,321(2022) 119368. [37]Huo Y.andRao Z.,International Journal of Thermal Sciences,122(2017)
work page 2022
-
[12]
J., Liu H.-R., Verzicco R.and Lohse D.,Journal of Fluid Mechanics,956(2023) A23
[38]Yang R., Howland C. J., Liu H.-R., Verzicco R.and Lohse D.,Journal of Fluid Mechanics,956(2023) A23. [39]Jany P.andBejan A.,International Journal of Heat and Mass Transfer,31(1988)
work page 2023
-
[13]
[41]Wang P., Zhang Y.andGuo Z.,International Journal of Heat and Mass Transfer,113(2017)
[40]Du Y., Wang Z., Jiang L., Calzavarini E.andSun C.,Journal of Fluid Mechanics,960(2023) A35. [41]Wang P., Zhang Y.andGuo Z.,International Journal of Heat and Mass Transfer,113(2017)
work page 2023
-
[14]
[42]Nivedhitha K., Beena T., Banapurmath N., Umar- farooq M., Ramasamy V., Soudagar M. E. M.and A˘gbulut ¨U.,International Journal of Hydrogen Energy, 61(2024)
work page 2024
-
[15]
L., Falcucci G.andUbertini S.,Applied Energy,378(2025) 124725
[43]Maggini M., Facci A. L., Falcucci G.andUbertini S.,Applied Energy,378(2025) 124725. [44]Maggini M., Falcucci G., Rosati A., Ubertini S. andFacci A. L.,Journal of Energy Storage,93(2024) 112230. [45]Gao D., Chen Z., Zhang D.andChen L.,Applied Thermal Engineering,118(2017)
work page 2025
-
[16]
M.,Applied Thermal Engineering,197(2021) 117436
[46]Bianco N., Busiello S., Iasiello M.andMauro G. M.,Applied Thermal Engineering,197(2021) 117436. p-7
work page 2021
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.