Microreactors produce better transport phenomena, have better safety outcomes and are a greener solution for producing a wide range of chemical compounds. They are also easier and cheaper to manage. They can accommodate a wide range of flow patterns and can be made from a large pool of materials. Numbering-up is a common way to increase their output as well as scaling-up. The effectiveness of scaling-up can be determined by a dimensional analysis or by using a model. In this work I used a lattice Boltzmann model with a depth-averaged approach to model the flow of a microreactor of real dimension. I then compared the model results with the results obtained in a lab setting by a dilution-based characterisation method, in which I measured the flow speed by sending a tracer solution (red food dye diluted in water) through the microchannel. I discovered that the model can reliably predict the flow profile, but the actual values of the flow velocity do differ by a noticeable amount. I concluded that the difference in the value of flow velocity is mainly due to my measuring approach and difficulty in analysing the resulting video. For further experimentation I suggest using better recording equipment, a darker, more contrasting or even a fluorescent tracer or perhaps by using micro image velocimetry.
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