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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Accesso online: | https://arxiv.org/abs/2504.05834 |
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| _version_ | 1866908952215683072 |
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| author | Ahmadi, Fatemeh S. Hamzehpour, Hossein Shaebani, Reza |
| author_facet | Ahmadi, Fatemeh S. Hamzehpour, Hossein Shaebani, Reza |
| contents | We investigate the transport dynamics of elongated microparticles in microchannel flows. While smooth-walled channels preserve the dependence of particle trajectories on initial orientation and lateral position, we show that introducing periodically textured walls can trigger robust alignment of the particle along the channel centerline. This geometry-driven alignment arises from repeated reorientations generated by spatially modulated shear gradients near the textured walls. The alignment efficiency depends on particle elongation and the relative texture wavelength, with an optimal range for maximal effect. While the observed alignment behavior is not limited to low Reynolds numbers, the characteristic alignment length scale diverges as the Reynolds number increases toward the turbulent flow regime. These findings offer a predictive framework for designing microfluidic devices that passively sort or focus anisotropic particles, with implications for soft matter transport, biophysical flows, and microfluidic engineering. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_05834 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Geometry-Driven Segregation in Periodically Textured Microfluidic Channels Ahmadi, Fatemeh S. Hamzehpour, Hossein Shaebani, Reza Fluid Dynamics Statistical Mechanics Computational Physics We investigate the transport dynamics of elongated microparticles in microchannel flows. While smooth-walled channels preserve the dependence of particle trajectories on initial orientation and lateral position, we show that introducing periodically textured walls can trigger robust alignment of the particle along the channel centerline. This geometry-driven alignment arises from repeated reorientations generated by spatially modulated shear gradients near the textured walls. The alignment efficiency depends on particle elongation and the relative texture wavelength, with an optimal range for maximal effect. While the observed alignment behavior is not limited to low Reynolds numbers, the characteristic alignment length scale diverges as the Reynolds number increases toward the turbulent flow regime. These findings offer a predictive framework for designing microfluidic devices that passively sort or focus anisotropic particles, with implications for soft matter transport, biophysical flows, and microfluidic engineering. |
| title | Geometry-Driven Segregation in Periodically Textured Microfluidic Channels |
| topic | Fluid Dynamics Statistical Mechanics Computational Physics |
| url | https://arxiv.org/abs/2504.05834 |