Do logarithmic terms exist in the drag coefficient of a single sphere at high Reynolds numbers?. (16th January 2023)

• Record Type: Journal Article
• Authors: El Hasadi, Yousef M.F.; Padding, Johan T.
• Is Part Of: Chemical engineering science. Volume 265(2023)
• Publication Date: 2023-01-16
• Subjects: sphere -- Drag coefficient -- Machine learning -- Multi-phase flows -- Matched asymptotic expansions; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2022.118195
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: Obtain predictive models for the drag coefficient of a sphere using symbolic regression. The drag coefficient of the sphere depends on logarithmic terms of the Reynolds number. The logarithmic drag models have a higher extrapolation range than the power-based models. The logarithmic drag models can predict the drag crisis at high Reynolds numbers. The logarithmic drag models predict the proper behaviour at a low Reynolds number regime. Abstract: At the beginning of the second half of the twentieth century, Proudman and Pearson (J. Fluid. Mech., 2(3), 1956, pp.237–262) suggested that the functional form of the drag coefficient ( C D ) of a single sphere subjected to uniform fluid flow consists of a series of logarithmic and power terms of the Reynolds number ( Re ). In this paper, we will explore the validity of the above statement for Reynolds numbers up to 10 6 by using a symbolic regression machine learning method. The algorithm is trained by available experimental data and data from well-known correlations from the literature for Re ranging from 0.1 to 2 × 10 5 . Our results show that the functional form of C D contains powers of log ( Re ), plus the Stokes term. The logarithmic C D expressions can generalize (extrapolate) better beyond the training data than pure power series of Re and are the first in the literature to predict with acceptable accuracythe onset of the rapid decrease (drag crisis) of C D at high Re, but also to follow the right behaviour towards zero Re . We also find a connection between the root of the Re -dependent terms in the C D expression and the first point of laminar separation. The generalization behaviour of power-based drag coefficient equations is worse than logarithmic-based ones, especially towards the zero Re regime in which they give non-physical results. The logarithmic based C D correctly describes the physics from the low Re regime to the onset of the drag crisis. Also, by applying a minor modification in the logarithmic based equations, we can predict the drag coefficient of an oblate spheroid in the high Re regime.