Numerical simulation and parameter optimization of micromixer device using fuzzy logic technique

The objective of this study is the design, simulation, and performance optimization of a micromixer device using the three input parameters of device structure, flow rate and diffusion coefficient of gold nanoparticles while the output parameters are concentration, velocity, pressure and time domain analysis. Each input parameter in the microfluidic chip influences the system output. The data were gathered through extensive study in order to optimize the diffusion control. The fuzzy logic approach is used to optimize the performance of the device with respect to the input parameters. In this study, we have chosen three different flow rates of 1, 5, and 10 mu L min(-1), three different diffusion coefficient values of low, average and high diffusivity gold nanofluids (15.3 e(-12), 15.3 e(-11), 15.3 e(-10) m(2) s(-1)) which are used in three different shapes of micromixer device, Y-shaped straight channel micromixer, herringbone-shaped micromixer, and herringbone shape with obstacles micromixer, and we measured the output performance, such as mixing efficiency, pressure drop, concentration across the microchannel and time domain. The data were obtained by fuzzy logic analysis and it was found that the herringbone shape with obstacles micromixer shows 100% mixing efficiency within a short duration of 5000 mu m, and complete mixing was achieved within 10 seconds with a low pressure drop of 128 Pa.

Automated summary

The objective of this study is to optimize the performance of a micromixer device through design, simulation, and analysis of input parameters such as device structure, flow rate, and diffusion coefficient, and output parameters including concentration, velocity, pressure, and time domain. Fuzzy logic analysis was used to gather and optimize the data, and the results showed that the herringbone shape with obstacles micromixer achieved 100% mixing efficiency within a short time and low pressure drop.