Numerical investigation on pressure-driven electro osmatic flow and mixing in a constricted micro channel by triangular obstacle

Saleel, C. Ahamed; Afzal, Asif; Badruddin, Irfan Anjum; Kamangar, Sarfaraz; Abdelmohimen, Mostafa A.H.; Soudagar, Manzoore Elahi M.; Fayaz, H.

doi:10.1108/hff-06-2020-0349

Cited by 6 publications

(2 citation statements)

References 49 publications

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“…Rather than rely on the continuous flow of microchannels, discrete droplet systems can carry out a variety of parallel reactions at the same time, which can reduce the consumption of samples (Kardous et al, 2014); eliminate components such as microchannels, microvalves and micropumps; and reduce the risk of cross-contamination (Wang et al, 2009). The mixing technologies of droplets on an open surface mainly include electrowetting (Mugele et al, 2006;Paik et al, 2003;C. et al, 2021), magnetic (Roy et al, 2009), acoustic (Lee et al, 2016) and thermal (Tsai and Lin, 2002).…”

Section: Asymmetricalmentioning

confidence: 99%

“…ˆ= intensity decay rate of Gaussian light along y direction, ˆ= 1.44 Â 10 8 W/m 3 ; c p = specific heat capacity of fluid at constant pressure, c p = 4.2 Â 10 3 J/(kg • K); k = thermal conductivity of fluid, k = 0.6 W/(m • K); Q = body heat source intensity generated by photothermal effect, Q ¼ bIA V ; b = photothermal conversion efficiency; A = incident projection area of Gaussian light; V = droplet volume; s T = change in surface tension due to temperature, s T = 1.66 Â 10 À4 N/(m • K); 1. Introduction Microfluidic mixing technology has long been an issue of great concern (Stroock et al, 2002;Grigoriev, 2005;Sarrazin et al, 2007;Capretto et al, 2011;Lu et al, 2018;Nasrin et al, 2020;C. et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Light-driven mixing strategy inside a nanofluid droplet by asymmetrical Marangoni flow

Liu

Wu²,

Chen³

et al. 2022

HFF

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Purpose The purpose of this study is to establish an effective numerical simulation method to describe the flow pattern and optimize the strategy of noncontact mixing induced by alternating Gaussian light inside a nanofluid droplet and analyzing the influencing factors and flow mechanism of fluid mixing inside a droplet. Design/methodology/approach First, the heat converted by the alternating incident Gaussian light acting on the nanoparticles was considered as the bulk heat source distribution, and the equilibrium equation between the surface tension and the viscous force at the upper boundary force was established; then, the numerical simulation methods for multiple-physical-field coupling was established, and the mixing index was used to quantify the mixing degree inside a droplet. The effects of the incident position of alternating Gaussian light and the height of the droplet on the mixing characteristics inside a droplet were studied. Finally, the nondimensional Marangoni number was used to reveal the flow mechanism of the internal mixing of the droplet. Findings Noncontact alternating Gaussian light can induce asymmetric vortex motion inside a nanofluid droplet. The incident position of alternating Gaussian light is a significant factor affecting the mixing degree in the droplet. In addition, the heat transfer caused by the surface tension gradient promotes the convection effect, which significantly enhances the mixing of the fluid in the droplet. Originality/value This study demonstrates the possibility of the chaotic mixing phenomenon induced by noncontact Gaussian light that occurs within a tiny droplet and provides a feasible method to achieve efficient mixing inside droplets at the microscale.

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