“…Microfluidics is a scientific field concerned with miniature fluid manipulation and the practices of microfluidics benefit a wide range of scientific applications, from biosensing to genome analysis to electrochemistry to environment monitoring, and more [1][2][3][4][5]. Microfluidic platforms offer precise control over fluid flow, cell manipulation, and biochemical reactions, allowing us to mimic aspects of the complex microenvironment of breast tumors and study cellular behaviors in a controlled setting [6][7][8][9][10][11]. Passive and active techniques are both utilized in microfluidics.…”
Microfluidic devices have long been useful for both the modeling and diagnostics of numerous diseases. In the past 20 years, they have been increasingly adopted for helping to study those in the family of breast cancer through characterizing breast cancer cells and advancing treatment research in portable and replicable formats. This paper adds to the body of work concerning cancer-focused microfluidics by proposing a simulation of a hypothetical bi-ended three-pronged device with a single channel and 16 electrodes with 8 pairs under different voltage and frequency regimes using COMSOL. Further, a study was conducted to examine the frequencies most effective for ACEO to separate cancer cells and accompanying particles. The study revealed that the frequency of EF has a more significant impact on the separation of particles than the inlet velocity. Inlet velocity variations while holding the frequency of EF constant resulted in a consistent trend showing a direct proportionality between inlet velocity and net velocity. These findings suggest that optimizing the frequency of EF could lead to more effective particle separation and targeted therapeutic interventions for breast cancer. This study hopefully will help to create targeted therapeutic interventions by bridging the disparity between in vitro and in vivo models.
“…Microfluidics is a scientific field concerned with miniature fluid manipulation and the practices of microfluidics benefit a wide range of scientific applications, from biosensing to genome analysis to electrochemistry to environment monitoring, and more [1][2][3][4][5]. Microfluidic platforms offer precise control over fluid flow, cell manipulation, and biochemical reactions, allowing us to mimic aspects of the complex microenvironment of breast tumors and study cellular behaviors in a controlled setting [6][7][8][9][10][11]. Passive and active techniques are both utilized in microfluidics.…”
Microfluidic devices have long been useful for both the modeling and diagnostics of numerous diseases. In the past 20 years, they have been increasingly adopted for helping to study those in the family of breast cancer through characterizing breast cancer cells and advancing treatment research in portable and replicable formats. This paper adds to the body of work concerning cancer-focused microfluidics by proposing a simulation of a hypothetical bi-ended three-pronged device with a single channel and 16 electrodes with 8 pairs under different voltage and frequency regimes using COMSOL. Further, a study was conducted to examine the frequencies most effective for ACEO to separate cancer cells and accompanying particles. The study revealed that the frequency of EF has a more significant impact on the separation of particles than the inlet velocity. Inlet velocity variations while holding the frequency of EF constant resulted in a consistent trend showing a direct proportionality between inlet velocity and net velocity. These findings suggest that optimizing the frequency of EF could lead to more effective particle separation and targeted therapeutic interventions for breast cancer. This study hopefully will help to create targeted therapeutic interventions by bridging the disparity between in vitro and in vivo models.
“…A comprehensive comprehension of the intricate transport mechanisms within thermal convective flows necessitates robust experimental and computational methodologies. Over the past three decades, the lattice Boltzmann method (LBM) has emerged as a prominent numerical technique and serves as a formidable tool for computational fluid dynamics and heat transfer analyses [12][13][14][15][16][17]. Moreover, LBM offers a potent approach for solving nonlinear partial differential equations [18,19], encompassing the Navier-Stokes equation, convection-diffusion equation [20], phase field equation [21], and Nernst-Planck equation [22], among others [23].…”
This study introduces a block triple-relaxation-time (B-TriRT) lattice Boltzmann model designed specifically for simulating melting phenomena within a rectangular cavity subject to intense heating from below, characterized by high Rayleigh (Ra) numbers (Ra=108). Through benchmark testing, it is demonstrated that the proposed B-TriRT approach markedly mitigates numerical diffusion along the phase interface. Furthermore, an examination of the heated region’s placement is conducted, revealing its significant impact on the rate of melting. Notably, findings suggest that optimal melting occurs most rapidly when the heated region is positioned centrally within the cavity.
“…In previous studies for pressure driven flows (Normohammadzadeh et al 2010;Shokouhmand et al 2011;Homayoon et al 2011;Meghdadi Isfahani et al 2016;Zhang et al 2012;Liou et al 2014;Younes & Omidvar, 2015), it was shown that, by improving relaxation time, the lattice Boltzmann method becomes capable of providing accurate results for pressure-driven flows in all flow regimes.…”
The standard LBM with the relaxation time is only able to simulate the flow features in continuum and slip regimes. In the present paper, a new relaxation time formulation considering the rarefaction effect on the viscosity for the lattice Boltzmann simulation of shear driven flows is presented in order to cover wide range of the flow regimes. The results show that in spite of the standard Lattice Boltzmann Method, LBM, the presented relaxation time equation is able to predict flow features in wide range of flow regimes including slip, transition and to some extend free molecular flow regimes. The velocity profiles, slip length and shear stress agree very well with DSMC (Direct Simulation Monte Carlo) and linear Boltzmann results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.