525-529<span style="letter-spacing:.1pt;mso-bidi-font-weight:
bold" lang="EN-GB">The present work proposes towards flow pattern prediction in a liquid- liquid microchannel flow
through a circular channel. Mass transfer in a microchannel mainly depends on
the flow regime inside the channel. The liquid-liquid two phase flow regime in
a microchannel depends on the flow velocity and the junction characteristics.
Hence, the prediction of patterns has a superior role for the characterisation
of mass transfer rates. This paper experimentally investigates the flow pattern
in an 800 micro meter diameter microchannel with T junction. The slug length
variation corresponding to varying inlet flow rate for the aqueous (water) β
organic (kerosene) liquids is visualised and measured. A model for the
prediction of liquid- liquid flow patterns in a circular T-shaped microchannel
is designed using Probabilistic Neural Network (PNN). The designed PNN
algorithm is explicitly validated by comparing the predicted patterns with the
experimentally observed data.
</span