Suscripción a Biblioteca: Guest
Proceedings of CONV-22: Int. Symp. on Convective Heat and Mass Transfer June 5 – 10, 2022, Turkey
June, 5-10, 2022, Izmir, Turkey

DOI: 10.1615/ICHMT.2022.CONV22


ISSN Online: 2642-3499

ISBN Online: 978-1-56700-523-3

PREDICTION OF FLOW PATTERNS OF LIQUID-LIQUID FLOWS IN TSHAPED MICROCHANNELS USING MACHINE LEARNING APPROACHES

page 369
DOI: 10.1615/ICHMT.2022.CONV22.480
Get accessDownload

SINOPSIS

In the last decade, microfluidics has become one of the most important areas of science due to the rapid development of microchannel devices and technologies. The extremely high surface area to volume ratio makes it possible to use microchannel flows to remove high heat fluxes, conduct highly efficient reactions, and create laboratories on a chip and organs on a chip. In the modern scientific literature, there is already a wide range of works aimed at constructing flow pattern maps of gas-liquid flows and flows of immiscible liquids in microchannels. Depending on the flow rates, the physical properties of liquids, and the properties of the material of the microchannel and its geometry, different flow regimes are realized. The occurrence of a certain flow regime is caused by the forces prevailing in the system for given values of the control parameters. The complex interrelation between a large number of adjustable parameters makes the analytical approach unreasonably difficult and a combination of adjustable parameters for flow pattern prediction can't be obtained. Thus, flow pattern maps or semiempirical models are used.

Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones Precios y Políticas de Suscripcione Begell House Contáctenos Language English 中文 Русский Português German French Spain