Please use this identifier to cite or link to this item:
|Title:||Coefficients identification in electronic system cooling simulation through genetic algorithm|
|Authors:||Liu, G.R. |
Electronic system cooling
|Citation:||Liu, G.R., Zhou, J.-J., Wang, J.G. (2002-01). Coefficients identification in electronic system cooling simulation through genetic algorithm. Computers and Structures 80 (1) : 23-30. ScholarBank@NUS Repository. https://doi.org/10.1016/S0045-7949(01)00163-8|
|Abstract:||An inverse procedure is presented based on the improved genetic algorithm and is applied in electronic system cooling simulation to identify heat transfer coefficients through temperature distributions. This procedure includes forward and inverse procedures. Commercial software, I-deas (ESC and TMG), is adopted for forward computation and uniform-micro-genetic algorithm (μGA) is for inverse procedure. μGA is global optimization but its slow convergence affects its computational efficiency. A search domain narrowing operation is proposed to speed up the convergence so that the whole computational procedure can be carried out within an acceptable time. As an example, an electronic system cooling simulation, which includes fan cooling, water duct flow cooling and several printed circuit boards inside an electronic enclosure, is carried out and the efficiency increases approximate 33%. © 2002 Elsevier Science Ltd. All rights reserved.|
|Source Title:||Computers and Structures|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 13, 2018
WEB OF SCIENCETM
checked on Jun 11, 2018
checked on May 25, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.