Optimization of a microchannel heat sink using entropy minimization and genetic aggregation algorithm
Authors:
- Mateusz Mieczkowski,
- Piotr Furmański,
- Piotr Łapka
Abstract
A copper heat sink with rectangular U-shaped microchannels for cooling high power laser diode arrays was numerically optimised. The control volume method based commercial software was applied for solving heat transfer and fluid flow in the considered device. The optimisation procedure included over 130 various geometrical configurations with five independent geometric parameters. The Entropy Generation Minimization criterion was applied to find the optimal geometric structure. Some relations between geometrical parameters of the microchannel heat sink were analysed through statistical studies and two most important ones, i.e., the relative height (α) and width (β) of a single microchannel, were selected. Using the genetic aggregation, the entropy generation characteristics were determined as a function of α and β as well as mass flow rate of cooling medium (Ġ). The most optimal from the second law of thermodynamics point of view configuration was the one with αopt = 0.86, βopt = 0.347 and Ġ = 0.00183 kg/s. Comparing with the initial geometry, over 35% reduction of irreversibility losses for the optimal heat sink had been achieved, i.e., heat sink thermodynamic efficiency increases from 90.05% to 91.8%, while maximum temperature of cooled semiconductor element was reduced from 333.3 K to 324.2 K.
- Record ID
- WUT56115c3433c44c6fb82846c6b7ce68b3
- Author
- Journal series
- Applied Thermal Engineering, ISSN 1359-4311
- Issue year
- 2021
- Vol
- 191
- Pages
- 116840_1 - 116840_15
- Publication size in sheets
- 0.30
- Keywords in English
- Optimisation, Numerical simulation, Microchannel heat sink, Conjugated heat transfer, Entropy Generation Minimization, Genetic aggregation
- ASJC Classification
- DOI
- DOI:10.1016/j.applthermaleng.2021.116840 Opening in a new tab
- URL
- https://www.sciencedirect.com/science/article/pii/S1359431121002891 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 140
- Score source
- journalList
- Score
- = 140.0, 21-05-2022, ArticleFromJournal
- Publication indicators
- = 0; = 0; = 1; : 2018 = 1.731; : 2020 (2 years) = 5.295 - 2020 (5 years) =5.175
- Citation count
- 2
- Uniform Resource Identifier
- https://repo.pw.edu.pl/info/article/WUT56115c3433c44c6fb82846c6b7ce68b3/
- URN
urn:pw-repo:WUT56115c3433c44c6fb82846c6b7ce68b3
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.