The paper presents a reduced order thermal model, which enables the thermal analysis of two-phase Taylor-flow. Two-phase Taylor flow is the basis of many microfluidic applications such as bio-chemical microreactors where segmented zones are required to accurately characterize enzyme reactions. This new model is represent a microtube with horizontally alternating and moving phases. The results obtained by the reduced order model match the results of a validated detailed Ansys-Fluent model with 5% accuracy at the channel wall. The reduced order model accounts for microcirculation and back flow. The proposed reduced order model of the two-phase Taylor-flow is foreseen to be included in in system level description of chemical microrectors.Index Terms-Compact thermal modeling, segmented slug flow, Lab-on-a-Chip, calorimetry Nomenclature A Bubble Cross-sectional area of the bubble [m 2 ] c V Volumetric specific heat capacity [J/m 3 K] Ca Capillary number δ F Fluid film thickness [m] λ Thermal conductivity [W/m · K] L 1 L 2 First and second part of the cylindrical Laplace matriẋ q Heat generation rate [W/m 3 ] q Heat flux [W/m 2 ] r Radius [m] Re Reynolds number res Resolution of the model [m] ρ Density [kg/m 3 ] T Temperature [K] ∆T Avg Average temperature rise on wall [K] t Time [s] v Average velocity [m/s] V Volume [m 3 ]
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.