Dimensional Consistency of Fractional Time Derivatives in Fluid Flow, Heat Transfer, and Mass Transport Models

Authors

  • Abdelraheem Aly Department of Mathematics, College of Science, King Khalid University, Al-Qur’a, Abha, P.O. Box 960, SaudiArabia https://orcid.org/0000-0002-8524-9467
  • Bashaier Jaafari Asiri Department of Mathematics, College of Science, King Khalid University, Al-Qur'a, Abha, P.O. Box 960, Saudi Arabia
  • Munira Aali Aotaibi Princess Nourah bint Abdulrahman University

Keywords:

fractional calculus; dimensional analysis; generalized diffusivity; anomalous transport; thermofluids; computational fluid dynamics; physics-informed learning

Abstract

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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Published

2026-10-10

How to Cite

Aly, A., Jaafari Asiri, B., & Aali Aotaibi, M. (2026). Dimensional Consistency of Fractional Time Derivatives in Fluid Flow, Heat Transfer, and Mass Transport Models. Intelligent Computing for Energy and Environment, 1(1), 47–73. Retrieved from https://icee.elamenapress.org/index.php/icee/article/view/2337

Issue

Section

Research Articles