Optimization of a passive micromixer using models based on variable diffusion coefficient

Nedelcu, Oana; Stanciu, Irina

doi:10.1109/smicnd.2012.6400745

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…The local permeability as the target parameter for topology optimization can be expressed as follows [ 17 ]:

where

= 0 represents the solid material,

= 1 represents the liquid domain,

is a real and positive parameter that adjusts the convexity of the interpolation function,

is the minimum value,

represents the impermeability, and

is the maximum value. For impermeable solid domains,

= ∞.…”

Section: Numerical Analysis and Topology Optimization Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Topology-Optimized Micromixer Design with Enhanced Reverse Flow to Increase Mixing Efficiency

Cao

Wang

et al. 2023

Micromachines

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In this work, a serpentine mixing unit model based on topology optimization is proposed to enhance the reverse flow in both horizontal and vertical directions. The increase in reverse flow in both directions can enhance the chaotic advection phenomenon, leading to a rapid increase in the mixing index. The proposed mixing unit model is applied in a T-shaped micromixer to create a new micromixer design, named TOD. Numerical simulations of TOD are performed using Comsol Multiphysics software to analyze the characteristics of the liquid flow, mixing surface, and pressure drop. The simulation results confirm that TOD has an outstanding mixing performance. By widening the surface area of contact and enhancing the chaotic advection phenomenon, TOD shows an excellent mixing performance at both a high and low Reynolds number, making it a promising micromixer design. For Re > 5, the mixing indexes of TOD are all beyond 90%.

show abstract

“…The local permeability as the target parameter for topology optimization can be expressed as follows [ 17 ]:

where

= 0 represents the solid material,

= 1 represents the liquid domain,

is a real and positive parameter that adjusts the convexity of the interpolation function,

is the minimum value,

represents the impermeability, and

is the maximum value. For impermeable solid domains,

= ∞.…”

Section: Numerical Analysis and Topology Optimization Methodologymentioning

confidence: 99%

“…The local permeability as the target parameter for topology optimization can be expressed as follows [17]:…”

Section: Numerical Analysis and Topology Optimization Methodologymentioning

confidence: 99%

Topology-Optimized Micromixer Design with Enhanced Reverse Flow to Increase Mixing Efficiency

Cao

Wang

et al. 2023

Micromachines

View full text Add to dashboard Cite

show abstract

“…An efficiency of mixing between about 80 and 100% is suitable for mixing applications. 37,38 3.2 Analysis of micromixer 3.2.1 Simulated micromixer device. We look at the micromixer model processes of a microuidic device for controlled mixing by diffusion.…”

Section: Analytical Expressions For Micromixingmentioning

confidence: 99%

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

Karthikeyan¹,

Kandasamy²,

Saravanan

et al. 2023

RSC Adv.

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Numerical Investigation of the Mixing Efficiency in Square-Wave Passive Micromixers for Microfluidic Device Applications

Ionescu

2021

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies

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Optimization of a passive micromixer using models based on variable diffusion coefficient

Cited by 5 publications

References 11 publications

Topology-Optimized Micromixer Design with Enhanced Reverse Flow to Increase Mixing Efficiency

Topology-Optimized Micromixer Design with Enhanced Reverse Flow to Increase Mixing Efficiency

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

Numerical Investigation of the Mixing Efficiency in Square-Wave Passive Micromixers for Microfluidic Device Applications

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