Accurate Correlations for the Turbulent Pipe flow of Shear-Thinning Fluids - Datasets

Turbulent pipe flow of non-Newtonian (NN) fluids is vital in many industries, yet accurately predicting the critical Reynolds number (Re_crit) and Fanning friction factor (C_f) remains challenging. Conventional numerical methods and empirical correlations often yield large errors (>50%), leading to inefficient pipeline design and potential failures.This study uses direct numerical simulation (DNS) to develop precise correlations for Re_crit and C_f. Unlike traditional methods, DNS captures all turbulent flow scales without unvalidated turbulence closures, ensuring accuracy despite high computational costs. Simulations using Herschel-Bulkley and Sisko models across various Reynolds numbers and rheological parameters yield simple, accurate correlations.Validated against experiments, DNS-based correlations achieve superior accuracy (L2 error ~6%) compared to conventional models (~16%) and estimate rheological parameters with errors of just 1.88% (HB) and 2.78% (Sisko). These correlations provide a robust and reliable approach for predicting NN turbulent pipe flow.The research data contains the details on the DNS computations that were used to develop the correlations for Re_crit and C_f.