Dimensional Consistency of Fractional Time Derivatives in Fluid Flow, Heat Transfer, and Mass Transport Models
Keywords:
fractional calculus; dimensional analysis; generalized diffusivity; anomalous transport; thermofluids; computational fluid dynamics; physics-informed learningAbstract
Fractional transport models are widely used to represent memory and anomalous relaxation, but replacing an ordinary time derivative by a fractional operator changes the temporal dimension of the governing balance. This paper develops a unified audit framework for fluid momentum, heat transfer, and mass transport that separates two dimensionally consistent conventions: generalized fractional transport coefficients and classical coefficients accompanied by an explicit memory time. The contribution is not the already established dimensional property of fractional derivatives; rather, it is the transport-wide synthesis of coupled balance laws, characteristic-time scaling, coefficient-convention equivalence, parameter identifiability, and reproducible verification tests. A dimensionally completed Atangana--Baleanu--Caputo operator is distinguished explicitly from its standard mathematical form and is nondimensionalized with both the reference-time and kernel-decay scales retained. A quantitative one-dimensional Caputo diffusion benchmark demonstrates unit-system invariance, agreement with the Mittag--Leffler solution, equivalence of the two coefficient conventions, and convergence toward the classical limit. The analysis further shows that transient data often identify a combined diffusivity--memory parameter more robustly than its constituent parameters separately. These results provide a practical verification protocol for fractional CFD, inverse modeling, and physics-informed computation, where unit ambiguity can otherwise be absorbed into fitted coefficients or residual weights.
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Copyright (c) 2026 Abdelraheem Aly, Bashaier Jaafari Asiri, Munira Aali Aotaibi

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