SANOAT HAVO TOZALASH TIZIMLARIDA FILTRATSIYA QURILMALARINI MODELLASHTIRISH VA PARAMETRIK OPTIMALLASHTIRISH: ZAMONAVIY YO‘NALISHLAR TAHLILI
DOI:
https://doi.org/10.5281/zenodo.20394936Ключевые слова:
filtratsiya qurilmasi, havo tozalash tizimi, CFD modellashtirish, parametrik optimallashtirish, RSM turbulentlik modeli, DPM zarrachalar modeli, Q-mezon vorteks identifikatsiyasi, magnit maydonli filtrlash, nam filtrlash, fraksion samaradorlik, PCA-PSO-SVR, sun’iy intellekt, sistematik sharhАннотация
Ushbu qiyosiy-tahliliy maqolada 2020–2023-yillar oralig‘ida nufuzli xalqaro jurnallarda chop etilgan 13 ta
xalqaro tadqiqot ishlari sistematik tahlil qilingan bo‘lib, sanoat havo tozalash tizimlarida filtratsiya qurilmalarini raqamli
modellashtirish va parametrik optimallashtirish sohasidagi zamonaviy yo‘nalishlar ko‘rib chiqilgan. Tahlil natijasida
sohadagi tadqiqot ishlarining to‘rtta ustuvor yo‘nalish atrofida to‘planayotgani aniqlandi: filtratsiya qurilmalarining konstruktiv-
geometrik parametrlarini optimallashtirish; Reynolds Stress Model va Diskret Faza Modeli kabi ilg‘or hisoblash
gidrodinamikasi (CFD) metodologiyalarini takomillashtirish; magnit maydon, nam filtrlash va ikki bosqichli dinamik ajratish
kabi yangi fizik mexanizmlarni tatbiq etish; hamda sun’iy intellekt usullarini loyihalash jarayoniga integratsiyalash. Asosiy
miqdoriy ko‘rsatkichlar sifatida quyidagilar qayd etilgan: to‘rt kirish oqimli N4 konstruksiyasi eng past kesish diametrini
ta’minlagan; silindrli vorteks stabilizatori 3 mkm dan kichik zarrachalar uchun samaradorlikni 5,52% ga oshirgan holda
bosim yo‘qotilishini atigi 3,61% ga ko‘paytirgan; PCA-PSO-SVR gibrid modeli korrelyatsiya koeffitsienti 0,982 ga erishgan.
Natijalar gibrid konstruktiv va intellektual yondashuvlarning integratsiyasi sanoat havo tozalash texnologiyalarini yangi
bosqichga ko‘tarish imkonini berishini ko‘rsatadi
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