[Paper] Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in Small-Diameter Vertical Pipes

Summary

This research introduces the first quantitative, topology-based definition for 'churn flow,' a chaotic regime in vertical two-phase flow, a problem unsolved for over 40 years. It utilizes Euler Characteristic Surfaces (ECS) and Multiple Kernel Learning (MKL) to characterize and unsupervisedly correct flow-regime maps in small-diameter vertical pipes. This novel approach blends temporal alignment and amplitude statistics derived from ECS to provide a robust characterization.

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