Cooling capacity increase of cpu liquid cooling systems using hbn nanofluids
1st Thermal and Fluid Engineering Summer Conference, TFESC 2015, New York, Amerika Birleşik Devletleri, 9 - 12 Ağustos 2015, cilt.2015-August, ss.1213-1216, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 2015-August
- Basıldığı Şehir: New York
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.1213-1216
- Anahtar Kelimeler: Electronics cooling, Liquid cooling system, Nanofluid, Thermal anagement
- Orta Doğu Teknik Üniversitesi Adresli: Hayır
Özet
Many nanofluids the colloidal suspensions of nanoparticles within a base fluid, exhibit increase in thermal conductivity with respect to base fluid beyond the predictions of effective ediu theories However viscosity also increases significantly a c c o p a n y i n g the increase in thermal properties that limits the benefit of using nanofluids as a coolant for thermal management applications Many recent studies have shown that insignificant or no improvement in cooling performance was introduced by using nanofluids due to the reduction of flow rate related to the increasing viscosity This study focuses on application of nanofluids in liquid cooling systems utilized for thermal management of central processing unit of computers Recently introduced hexagonal boron nitride (hBN) nanofluids are considered as a coolant in this study as their viscosity increase is lower with respect to other nanofluids such as with alumina nanoparticles while the increase in thermal conductivity is ore The study considers the performance on the component and system level to identify the effect of increasing particle v o l u e concentration on cooling capacity The cold plate and heat exchanger performance is calculated numerically using finite volume method using single phase homogeneous odel relying on easured properties of nanofluid Different cold plate designs and p u p s are considered to be able to evaluate different and limiting cases. The cooling capacity increase is then quantified based on c o p l e t e system behavior.