Abstract
In micro and nano flows, the fluid flow pattern is sensitive to many intrinsic parameters such as surface roughness. In this letter, we have presented the capture of variations in fluid flow in polydimethylsiloxane(PDMS) microfluidic channels with respect to surface roughness. The velocity of the fluid is measured experimentally and also simulated using a mesoscopic lattice Boltzmann method (LBM). For simulations, the surface roughness is implemented using a fractal based approach. The Weierstrass-Mandelbrot(WM) mathematical function is explored for realizing various rough surfaces by tuning the fractal dimension parameter. The results show that the computational fluid dynamics model, which incorporated surface roughness, has a better agreement with the experimental results than the model without roughness.
Highlights
Modeling and characterization of surface roughness effect on fluid flow in a polydimethylsiloxane microchannel using a fractal based lattice Boltzmann method
It has become necessary to model the intrinsic surface property such as surface roughness to understand the microscopic phenomenon and to develop a model based on the surface roughness information.[1,2]
The microfluidics researchers have moved from the traditional MEMS fabrication materials like silicon, quartz to the new materials such as polydimethylsiloxane(PDMS), polymethylmethacralate(PMMA) and other polymers in order to minimize the cost of the microfluidic device and various reasons including biocompatibility.[4]
Summary
Modeling and characterization of surface roughness effect on fluid flow in a polydimethylsiloxane microchannel using a fractal based lattice Boltzmann method. The effect of surface roughness on a fluid flow in a PDMS microfluidic device using the fractal based Weierstrass-Mandelbrot (WM) model is studied. The corresponding rough surface is modeled using WM function for LBM simulations.
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