期刊
MICROMACHINES
卷 14, 期 2, 页码 -出版社
MDPI
DOI: 10.3390/mi14020366
关键词
microfluidics; Lattice Boltzmann; immersed boundary; acoustofluidics; standing surface acoustic wave; microparticle
In this study, the motion of a microparticle in a microchannel under the influence of a standing surface acoustic wave (SSAW) was simulated using the Immersed Boundary-Lattice Boltzmann Method (IB-LBM). The microparticles were found to move towards the pressure node locations when the SSAW was applied. The transient response of the particles was affected by their geometric parameters, such as radius, density, and compressibility.
In this work, we employed the Immersed Boundary-Lattice Boltzmann Method (IB-LBM) to simulate the motion of a microparticle in a microchannel under the influence of a standing surface acoustic wave (SSAW). To capture the response of the target microparticle in a straight channel under the effect of the SSAW, in-house code was built in C language. The SSAW creates pressure nodes and anti-nodes inside the microchannel. Here, the target particle was forced to traverse toward the pressure node. A mapping mechanism was developed to accurately apply the physical acoustic force field in the numerical simulation. First, benchmarking studies were conducted to compare the numerical results in the IB-LBM with the available analytical, numerical, and experimental results. Next, several parametric studies were carried out in which the particle types, sizes, compressibility coefficients, and densities were varied. When the SSAW is applied, the microparticles (with a positive acoustic contrast factor) move toward the pressure node locations during their motion in the microchannel. Hence, their steady-state locations are controlled by adjusting the pressure nodes to the desired locations, such as the centerline or near the microchannel sidewalls. Moreover, the geometric parameters, such as radius, density, and compressibility of the particles affect their transient response, and the particles ultimately settle at the pressure nodes. To validate the numerical work, a microfluidic device was fabricated in-house in the cleanroom using lithographic techniques. Experiments were performed, and the target particle was moved either to the centerline or sidewalls of the channel, depending on the location of the pressure node. The steady-state placements obtained in the computational model and experiments exhibit excellent agreement and are reported.
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