contributor author | A. J. Scholand | |
contributor author | B. Bras | |
contributor author | R. E. Fulton | |
date accessioned | 2017-05-08T23:59:23Z | |
date available | 2017-05-08T23:59:23Z | |
date copyright | March, 1999 | |
date issued | 1999 | |
identifier issn | 1528-9044 | |
identifier other | JEPAE4-26171#31_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/122022 | |
description abstract | Thermal considerations in printed wiring board (PWB) assemblies are becoming increasingly important as packaging constraints shrink and power use escalates. In this paper, we provide a study on the potential for a genetic algorithm-driven PWB layout design tool to improve the thermal performance of such assemblies. As a case study, the thermomechanical fatigue of surface mounted leadless chip carriers on an FR4 epoxy board is used. We have found that by utilizing appropriate formula-based engineering approximations, the efficiency of parallel implementations of genetic algorithms in finding near-optimal and results makes this approach effective as an explorative “scouting” approach to identify promising board configurations for more computationally expensive evaluations such as finite element method. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | An Investigation of PWB Layout by Genetic Algorithms to Maximize Fatigue Life | |
type | Journal Paper | |
journal volume | 121 | |
journal issue | 1 | |
journal title | Journal of Electronic Packaging | |
identifier doi | 10.1115/1.2792658 | |
journal fristpage | 31 | |
journal lastpage | 36 | |
identifier eissn | 1043-7398 | |
keywords | Fatigue life | |
keywords | Genetic algorithms | |
keywords | Printed circuit boards | |
keywords | Packaging | |
keywords | Formulas | |
keywords | Fatigue | |
keywords | Epoxy adhesives | |
keywords | Finite element methods | |
keywords | Algorithms | |
keywords | Design | |
keywords | Approximation AND Energy consumption | |
tree | Journal of Electronic Packaging:;1999:;volume( 121 ):;issue: 001 | |
contenttype | Fulltext | |