FOTOELEKTRIK-ISSIQLIK BATAREYADAGI GIDRODINAMIK JARAYONLARNING COMSOL MULTIPHYSICS DASTURIDA MODELLASHTIRILISH
##submission.downloads##
Ushbu maqolada suyuqliklar dinamikasini hisoblashning (Computational Fluid Dynamics, CFD) asosiy printsiplari va uning suyuqlik va gaz oqimlarini modellashtirishdagi ahamiyati ko‘rib chiqiladi. CFD fizik tenglamalarni sonli usullar orqali yechish imkonini berib, turli muhandislik va ilmiy sohalarda keng qo‘llaniladi. Xususan, turbulentlik hodisasining murakkabligi, uning modellashtirishdagi asosiy qiyinchiliklari va mavjud yondashuvlar tahlil qilinadi. Shuningdek, maqolada COMSOL Multiphysics dasturining CFD jarayonlarini modellashtirishda qo‘llanilishi, uning maxsus qisman differentsial tenglamalar asosida sonli yechimlarni amalga oshirish imkoniyatlari ta’kidlanadi. Ushbu yondashuvlar yordamida suyuqliklar va gazlarning harakati va gidrodinamik jarayonlar aniqroq va samaraliroq tahlil qilinadi, bu esa turli sohalarda texnologik jarayonlarni optimallashtirish va yangi dizaynlarni yaratishda muhim ahamiyat kasb etadi.
2. Orozco Murillo, W., Palacio-Fernande and all. (2020). Analysis of a Jet Pump Performance under Different Primary Nozzle Positions and Inlet Pressures using two Approaches: One Dimensional Analytical Model and Three Dimensional CFD Simulations. Journal of Applied and Computational Mechanics, 6(Special Issue), 1228-1244.
3. Hadad, K., Eidi, H. R., & Mokhtari, J. (2017). VOC level control by ventilation improvement of Flexography printing room using CFD modeling. Journal of Applied and Computational Mechanics, 3(3), 171-177.
4. Tsega, E. G., & Katiyar, V. K. (2019). A Numerical Simulation of Inspiratory Airflow in Human Airways during Exercise at Sea Level and at High Altitude. Journal of Applied and Computational Mechanics, 5(1), 70-76.
5. Spalart P. R., and Venkatakrishnan, V. (2016). On the Role and Challenges of CFD in the Aerospace Industry. Aeronautical Journal, Vol. 120, No. 1223, pp. 209–232. doi:10.1017/aer.2015.10
6. Ashton N., Skaperdas V. (2019). Verification and validation of OpenFOAM for high-lift aircraft flows. Journal of Aircraft, 56(4), 1641-1657.
7. “Turbulence modeling Resource. NASA Langley Research Center”, http://turbmodels.larc.nasa.gov.
8. Spalart P. R., Allmaras S. R. (1992). A one-equation turbulence model for aerodynamic flows. AIAA Paper 1992-0439.
9. Menter F. R. (1993). Zonal two-equation k-ω turbulence models for aerodynamic flows. AIAA Paper 1993-2906.
10. Menter F. R., Kuntz M., and Langtry R. (2003). Ten Years of Industrial Experience with the SST Turbulence Model. Turbulence, Heat and Mass Transfer, 4, 625-632.
11. Pasha, A. A. (2018). Study of parameters affecting separation bubble size in high speed flows using k-ω turbulence model. Journal of Applied and Computational Mechanics, 4(2), 95-104.
12. Slotnick, J., Khodadoust, A. and all. (2014). CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences. NASA CR-2014-21878.
13. Abbas-Bayoumi, A., Becker, K. (2011). An Industrial View on Numerical Simulation for Aircraft Aerodynamic Design. Journal of Mathematics in Industry, 1(1), Paper 10. doi:10.1186/2190-5983-1-10.
Mulkiiyat (c) 2025 «O‘zMU XABARLARI»

Ushbu ish quyidagi litsenziya asosida ruxsatlangan Kreativ Commons Attribution-NonCommercial-ShareAlike 4.0 International litsenziyasi asosida bu ish ruxsatlangan..




.jpg)

.png)




