| Autor: |
Julius Jeßberger, Jan E. Marquardt, Luca Heim, Jakob Mangold, Fedor Bukreev, Mathias J. Krause |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Fluids, Vol 7, Iss 5, p 144 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2311-5521 |
| DOI: |
10.3390/fluids7050144 |
| Popis: |
As micromixers offer the cheap and simple mixing of fluids and suspensions, they have become a key device in microfluidics. Their mixing performance can be significantly increased by periodically varying the inlet pressure, which leads to a non-static flow and improved mixing process. In this work, a micromixer with a T-junction and a meandering channel is considered. A periodic pulse function for the inlet pressure is numerically optimized with regard to frequency, amplitude and shape. Thereunto, fluid flow and adsorptive concentration are simulated three-dimensionally with a lattice Boltzmann method (LBM) in OpenLB. Its implementation is then combined with forward automatic differentiation (AD), which allows for the generic application of fast gradient-based optimization schemes. The mixing quality is shown to be increased by 21.4% in comparison to the static, passive regime. Methodically, the results confirm the suitability of the combination of LBM and AD to solve process-scale optimization problems and the improved accuracy of AD over difference quotient approaches in this context. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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