Matic Može (Author), Aljaž Nemanič (Author), Primož Poredoš (Author)

Abstract

This paper presents an experimental and numerical heat transfer analysis of heat-pipe-based CPU coolers and a performance optimization methodology. The first part of the study focuses on the performance of two commercial HP-based CPU coolers under inclination angles of 0°, 90° and 180°. The results show that the 90° orientation provides the best thermal performance. The influence of heat pipe orientation on the performance of the entire system is obscured due to the much higher thermal resistance on the air-side of the cooler. A fourfold increase in air volumetric flow rate has only a minor effect on the cooling performance enhancement with a reduction of the thermal resistance from 0.11 K W [sup minus] 1 to 0.074 K W [sup minus] 1 at the highest heating power. In the second part of the study, heat transfer numerical simulations of the finned part of a cooler were performed and validated using experimental results. The output of the simulation is a 2-D temperature field, which is used as an input for the optimization methodology based on fin effectiveness and fin efficiency. Optimizing the fin geometry by removing unnecessary material yielded a 23% increase of the fin efficiency and decreased the weight of a fin by approx. 30%, proving the usefulness of the proposed methodology, which helps reduce costs, weight and development time of finned HP-based coolers.

Keywords

thermal management;heat exchangers;heat pipes;extended surfaces;CFD simulations;optimization methodology;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 519.8:536.2(045)
COBISS: 23178243 Link will open in a new window
ISSN: 1359-4311
Views: 956
Downloads: 616
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Other data

Secondary language: Slovenian
Secondary keywords: prenos toplote;prenosniki toplote;toplotne cevi;razširjene površine;CFD simulacije;optimizacijska metodologija;
Type (COBISS): Article
Pages: str. 1-14
Issue: ǂVol. ǂ179
Chronology: Oct. 2020
DOI: 10.1016/j.applthermaleng.2020.115720
ID: 11909993
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