Open AccessComponent layout optimization design based on genetic algorithm
Author(s) -
Baihua Shen,
Zhenkuan Pan,
Haoming Lin,
W Z Li
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/629/1/012003
Subject(s) - component (thermodynamics) , printed circuit board , finite element method , matlab , acceleration , electronic component , computer science , vibration , software , genetic algorithm , position (finance) , engineering , mechanical engineering , structural engineering , acoustics , physics , finance , classical mechanics , machine learning , economics , thermodynamics , programming language , operating system
When working, electronic equipment is often subjected to a mechanical environment dominated by vibration. The printed circuit board (PCB) in the equipment is prone to deformation and transmits vibration to the components on the board. As the weakest link, the component corner position has a large acceleration, which is one of the important reasons for the failure of components and the entire electronic equipment. Based on the finite element modeling of PCB, the interaction between the finite element analysis software NASTRAN and the programming software MATLAB is realized, and the application of genetic algorithm in component layout optimization becomes possible. The optimization results show that the method adopted in this paper can effectively reduce the acceleration value at the component corner and optimize the mechanical environment when the electronic equipment works.