English
Русский 4-12 p.
In this paper, the features of microfluidic channel optimization are considered. The microfluidic channel is a key component of the microreactor, its shape and features of the hydrodynamic regime directly affect the successful course of chemical reactions carried out in it. The microfluidic industry regulates processes occurring in small volumes of liquids – on the order of a nano liter or less. It is applicable to various fields such as microelectronics, pharmaceuticals, specialty chemicals, etc. The Comsol Multiphysics computational modeling program was used as an optimization tool. It is based on the finite element method, which allows you to accurately model the problems of the hydrodynamic profile. In this article, the simplest form of a microchannel is considered – a 0.75 mm circular channel with a mixing cell. The mathematical modeling of the process is given, the optimality criterion adequate for the task is determined. As one of the components of this criterion, diodicity was used – a criterion that determines the ability to pass a stream in the forward direction, provided there is a reverse flow. As a result of this work, the most optimal shape of the microreactor channel satisfying the required process conditions was identified, the main hydrodynamic parameters were obtained and the dependence of the diode on the criterion used was determined.
1. Shishanov M.V., Kuk H.G., Dosov K.A., Yashunin D.V., Bolshakov I.A., Morozov N.V. Modeling of flow microreactors. Modern high-tech technologies. Regional application. 2023. No. 75 (3). P. 97 – 106.
2. Shishanov M.V., Kuk H.G., Dosov K.A., Yashunin D.V., Bolshakov I.A., Morozov N.V. Mixing in microflu-idics. Modern science-intensive technologies. Regional application. 2023. No. 4 (76). P. 103 – 109.
3. Danilov Yu.M., Mukhametzyanova A.G., Kulmenteva E.I., Petrovicheva E.A. Study of turbulent mixing of a two-component mixture in a pipe with a periodically changing cross-section. Bulletin of the Kazan Technological University, 2018. No. 2. P. 172 – 179.
4. Danilov Yu.M., Dyakonov G.S., Mukhametzyanova A.G., Bergman A.N., Ilyina I.M. Optimization of the shape of the flow part of tubular turbulent reactors. Bulletin of the Kazan Technological University. 2013. No. 1. P. 116 – 124.
5. Mohammadi B., Pironneau O. Applied shape optimization for fluids. OUP Oxford. 2009.
6. Andrea M., Alfio Q., Gianluigi R. Shape optimization for viscous flows by reduced basis methods and free-form deformation. Numerical methods of fluids. 2012. No. 70 (5). P. 646 – 670. DOI: 10.1002/fld.2712
7. Bardell R.L. The diocity mechanism of Tesla-type no-moving parts valves, Ph.D. Thesis, University of Washington, USA, 2019.
8. Nobaknt A.Y., Shahsavan M., Paykani A., Numerical Study of Diodicity Mechanism in Different Tesla-Type Microvalves. Journal of Applied Research and Technology, 2019. No. 11 (6). P. 876 – 885.
9. Wang P., Hu P., Liu L., Xu Z., Wang W., Benoit S. On the diode enhancement of multistage Tesla valves. Physics of Fluids, 2023. No. 35 (5). P. 113 – 124.
10. Doddamani H., Tapas K.D., Manabu T., Abdus S. Design Optimization of a Fluidic Diode for a Wave Ener-gy Converter via Artificial Intelligence-Based Technique. Arabian Journal for Science and Engineering, 2022. No. 48. P. 11407 – 11423.
2. Shishanov M.V., Kuk H.G., Dosov K.A., Yashunin D.V., Bolshakov I.A., Morozov N.V. Mixing in microflu-idics. Modern science-intensive technologies. Regional application. 2023. No. 4 (76). P. 103 – 109.
3. Danilov Yu.M., Mukhametzyanova A.G., Kulmenteva E.I., Petrovicheva E.A. Study of turbulent mixing of a two-component mixture in a pipe with a periodically changing cross-section. Bulletin of the Kazan Technological University, 2018. No. 2. P. 172 – 179.
4. Danilov Yu.M., Dyakonov G.S., Mukhametzyanova A.G., Bergman A.N., Ilyina I.M. Optimization of the shape of the flow part of tubular turbulent reactors. Bulletin of the Kazan Technological University. 2013. No. 1. P. 116 – 124.
5. Mohammadi B., Pironneau O. Applied shape optimization for fluids. OUP Oxford. 2009.
6. Andrea M., Alfio Q., Gianluigi R. Shape optimization for viscous flows by reduced basis methods and free-form deformation. Numerical methods of fluids. 2012. No. 70 (5). P. 646 – 670. DOI: 10.1002/fld.2712
7. Bardell R.L. The diocity mechanism of Tesla-type no-moving parts valves, Ph.D. Thesis, University of Washington, USA, 2019.
8. Nobaknt A.Y., Shahsavan M., Paykani A., Numerical Study of Diodicity Mechanism in Different Tesla-Type Microvalves. Journal of Applied Research and Technology, 2019. No. 11 (6). P. 876 – 885.
9. Wang P., Hu P., Liu L., Xu Z., Wang W., Benoit S. On the diode enhancement of multistage Tesla valves. Physics of Fluids, 2023. No. 35 (5). P. 113 – 124.
10. Doddamani H., Tapas K.D., Manabu T., Abdus S. Design Optimization of a Fluidic Diode for a Wave Ener-gy Converter via Artificial Intelligence-Based Technique. Arabian Journal for Science and Engineering, 2022. No. 48. P. 11407 – 11423.
Shishanov M.V., Kuk Kh.G., Eremin V.B. Optimization of the flow part of the microfluidic channel. Chemical Bulletin. 2024. 7 (2). P. 4 – 12. https://doi.org/10.58224/2619-0575-2024-7-2-4-12