Elektronik Sistemlerin Soğutulmasında Nanoakışkanlar ve Çarpan Jetlerin Müşterek Etkisinin İncelenmesi
Bu çalışmada; gelişen teknolojilere bağlı olarak artan elektronik elemanların ısıl yük problemini çözmek maksadıyla, yüksek ısı akılı bir yüzeyden olan ısı transferinin, nanoakışkanların çarpan akışkan jet tekniği ile kullanılarak iyileştirilmesi sayısal olarak incelenmiştir. Farklı hacim oranları, farklı ısı akıları ve farklı tipte hazırlanan nanoakışkanların ısı transferine etkisi çalışmada kullanılan parametrelerdir. Çalışmada PHONEICS HAD programının düşük Reynolds sayılı k-ε türbülans modeli kullanılmıştır. Sonuç olarak, hacimsel oran %2’den %8’e artırıldığında ortalama Nusselt sayısında %15,2 oranında bir iyileşme tespit edilmiştir. Yüzeydeki ısı akısı iki kat artırıldığında, yüzey sıcaklıklarının arttığı ancak yerel Nusselt sayısında belirgin bir değişiklik olmadığı tespit edilmiştir. Cu-H2O nanoakışkanı kullanılması durumunda, ortalama Nusselt sayısında sırasıyla CuO-H2O, TiO2-H2O, Al2O3-H2O ve saf suya göre %2,6, %5,5, %6,1, %9,6 iyileşme olduğu gözlemlenmiştir. Sayısal modelde kullanılan düşük Reynolds sayılı k-ε türbülans modelinin sıcaklık dağılımını ve akış özelliklerini iyi bir şekilde temsil edebildiği görülmüştür.
Investigation of Combined Effect of Nanofluids and Impinging Jets on Cooling of Electronic Systems
At this study, to solve the problem of high heat loads of electronic systems, enhancement of heat transfer from a high heat flux surface with nanofluids and impinging jet technique was investigated numerically. Effect of different volume ratios, different heat fluxes and different nanofluids and pure water on heat transfer are the parameters of this study. Low Reynolds k-ε turbulence model of PHONEICS CFD code was used at this study. As a result, it was obtained that increasing volume ratio from 2% to 8% causes an increase of 15.2% on average Nusselt number. Increasing heat flux on the surface two times causes an increase on surface temperature but does not cause any significant increase on local Nusselt number. Using Cu-H2O nanofluid causes an increase of %2.6, %5.5, %6.1 and % 9.6 on average Nusselt number with respect to CuO-H2O, TiO2-H2O, Al2O3-H2O and pure water. It was seen that the low Reynolds number k-ε turbulence model well represent the temperature distribution and flow properties in this study.
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