Numerical analysis of fluid mixing in T-Type micro mixer

Virk, Muhammad Shakeel; Holdo̸, A. E.

doi:10.1260/175095408784300225

Cited by 13 publications

(8 citation statements)

References 15 publications

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“…The mixing channel length is 1000 µm with a width ( W ) and height ( H ) of 200 µm and 100 µm respectively. The T-shape passive micromixer dimensions are consistent with the T-shape passive micromixers studied in the literature [ 25 , 30 , 31 ].…”

Section: Mathematical Modelsupporting

confidence: 84%

“…On the other hand, in several micromixer studies [ 8 , 24 , 25 , 26 , 27 , 28 ] where FEM was employed, the authors did not report the instability and false diffusion effects although they have studied advection dominant systems. In these applications, depending on the stabilization method applied, mixing performance results reported may show significant variations depending on the degree of numerical treatment applied.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis and Numerical Evaluation of Mixing in 3-D T-Shape Passive Micromixers

Okuducu

Aral

2018

Micromachines

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In micromixer devices, laminar characteristics of the flow domain and small diffusion constants of the fluid samples that are mixed characterize the mixing process. The advection dominant flow and transport processes that develop in these devices not only create significant challenges for numerical solution of the problem, but they are also the source of numerical errors which may lead to confusing performance evaluations that are reported in the literature. In this study, the finite volume method (FVM) and finite element method (FEM) are used to characterize these errors and critical issues in numerical performance evaluations are highlighted. In this study, we used numerical methods to evaluate the mixing characteristics of a typical T-shape passive micromixer for several flow and transport parameters using both FEM and FVM, although the numerical procedures described are also equally applicable to other geometric designs as well. The outcome of the study shows that the type of stabilization technique used in FEM is very important and should be documented and reported. Otherwise, erroneous mixing performance may be reported since the added artificial diffusion may significantly affect the mixing performance in the device. Similarly, when FVM methods are used, numerical diffusion errors may become important for certain unstructured discretization techniques that are used in the idealization of the solution domain. This point needs to be also analyzed and reported when FVM is used in performance evaluation of micromixer devices. The focus of this study is not on improving the mixing performance of micromixers. Instead, we highlight the bench scale characteristics of the solutions and the mixing evaluation procedures used when FVM and FEM are employed.

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Section: Mathematical Modelsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Numerical Evaluation of Mixing in 3-D T-Shape Passive Micromixers

Okuducu

Aral

2018

Micromachines

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“…3 were validated by comparing with the simulation results for the same micromixer geometry (Virk and Holdo 2008), as presented in Fig. 11.…”

Section: Comparison Of Results Of Analytical Model Experiments and Smentioning

confidence: 99%

“…4 is validated by comparing the simulation results with the results reported by Virk and Holdo (2008) for the same geometry of the micromixer presented in Fig. 5.…”

Section: Simulations Of the Y-mixermentioning

confidence: 88%

Analytical, numerical and experimental investigations of mixing fluids in microchannel

2012

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This work presents theoretical analysis, numerical simulation, fabrication and test of a micromixer chip for mixing fluids in microchannel. A threedimensional analytical model is developed using a different mathematical approach to study passive laminar mixing phenomena and predict concentration distribution in a microchannel. The analytical model is validated by comparing with experimental and simulation results. The process of mixing fluids in a microchannel is simulated by solving the continuity, momentum and mass diffusion equations. The simulation results are validated and then parametric studies are performed to investigate the effects of channel aspect ratio, Reynolds number and diffusion coefficient on the mixing performance. The micromixer chip is fabricated with patterned SU-8 photoresist as the microchannel layer on a PMMA substrate using a combination of photolithography and micro-milling. Experiments are performed with different mixing fluids and the results were compared with that obtained from the theoretical model and simulation results.

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“…By knowing the width of the channel and knowing the diffusivity of the fluid, an estimation can be made on the percentage of mixing (Equation 3). Additional modeling of mixers and equations necessary to calculate mixing efficiency of various channel geometries can be found here [26], [27]. [28] In this equation, W = width of channel, D = diffusivity (m2/s), t = amount (%) of mixing.…”

Section: Electrokineticsmentioning

confidence: 99%

The Fabrication & Characterization of an Electrokinetic Microfluidic Pump from SU-8, a Negative Epoxy-Based Photoresist

Anderson¹

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Microfluidics refers to manipulation, precise control, and behavior of fluids at the micro and nanoliter scales. It has entered the realm of science as a way to precisely measure or mix small amounts of fluid to perform highly controlled reactions. Glass and polydimethylsiloxane (PDMS) are common materials used to create microfluidic devices; however, glass is difficult to process and PDMS is relatively hydrophobic. In this study, SU-8, an epoxy based (negative) photoresist was used to create various electrokinetic microfluidic chips. SU-8 is commonly used in microelectromechanical design. Spin coating of various SU-8 formulations allows for 1 µm to 100 µm thick layers with aspect ratios reportedly as high as 50:1. Case studies were performed to understand the curing/crosslinking process of SU-8 by differential scanning calorimetry. Supplier (MicroChem) recommended parameters were then altered to allow for adequate development of microfluidic channels, while maintaining enough molecular mobility to subsequently bond the SU-8 to a secondary substrate. Three SU-8 layers were used to create fully (SU-8) enclosed microfluidic channels. An (1) SU-8 2050 fully cured base layer was used as a platform on silicon to build from, (2) an SU-8 2050 partially cured layer for developing microfluidic channels , and (3) an SU-8 2007 uncured layer for bonding a secondary substrate to enclose the microfluidic channels. Bond quality was verified by optical and scanning electron microscopy, which resulted in a nearly 100% bond with little to no reflow of SU-8 into channels. Working pressures (ΔP across the capillary) of 15.57 lb/in 2 (max detection) were obtained with no fluid leaks.

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Numerical analysis of fluid mixing in T-Type micro mixer

Cited by 13 publications

References 15 publications

Performance Analysis and Numerical Evaluation of Mixing in 3-D T-Shape Passive Micromixers

Performance Analysis and Numerical Evaluation of Mixing in 3-D T-Shape Passive Micromixers

Analytical, numerical and experimental investigations of mixing fluids in microchannel

The Fabrication & Characterization of an Electrokinetic Microfluidic Pump from SU-8, a Negative Epoxy-Based Photoresist

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