Open AccessBolt 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/576/1/012005
Subject(s) - component (thermodynamics) , acceleration , vibration , printed circuit board , electronic component , matlab , finite element method , genetic algorithm , reliability (semiconductor) , shock (circulatory) , computer science , electronic equipment , key (lock) , structural engineering , engineering , mechanical engineering , computer hardware , acoustics , medicine , power (physics) , physics , computer security , classical mechanics , quantum mechanics , machine learning , thermodynamics , operating system
When working, electronic equipment is often subjected to mechanical environments such as vibration and shock. The reliability problem of components after experiencing vibration environment is one of the key research contents in the development of electronic equipment. The printed circuit board on which the component is mounted is deformed during vibration, and the vibration is transmitted to the component, so that the component corner has a large acceleration, which is one of the important reasons for the failure of the electronic device. Based on the finite element simulation of the circuit board, the application of genetic algorithm in bolt layout optimization is realized by MATLAB programming. By optimizing the bolt layout, the acceleration value at the component corners is greatly reduced, and the reliability of the electronic equipment is improved.