传感技术学报2016，Vol.29Issue(6)：813-820,8.DOI:10.3969/j.issn.1004-1699.2016.06.005
铝板纵波电磁超声检测中电磁铁的遗传算法优化设计
Genetic Algorithms of Electromagnet in Longitudinal Wave Electromagnetic Utrasonic Dtection for Auminum Pate
摘要
Abstract
An original electromagnet genetic algorithm method for improving the detectability of Electromagnetic Acoustic Transducer(EMAT)is introduced. Firstly,Magnetic induction and uniformity were the targets for the sin⁃gle-objective optimization respectively. The response surface methodology was employed to analysis the importance of magnetic core,coil on magnetic induction and uniformity,and on top of that,built a second-order response model to get optimum parameter groups. Secondly,Multi-objective optimization was adapted further considering the unifor⁃mity of magnetic field,it was optimized by co-simulation of Matlab and Comsol software using genetic algorithm,the consequence based on multi-objective optimization comparing with RSM was more accurate and it was significantly increased comparing with the initial value. At last,the effectiveness of the optimization method was proved by the experiments,and the experimental longitudinal wave signal rise by 60%,so the method can be applied to the other forms of electromagnet.关键词
电磁超声换能器/电磁铁/响应曲面法/多目标优化/遗传算法Key words
electromagnetic acoustic transducer(EMAT)/electromagnet/response surface methodology(RSM)/multi-objective optimization/genetic algorithm(GA)分类
通用工业技术引用本文复制引用
谭良辰,吴运新,石文泽,龚海,范吉志..铝板纵波电磁超声检测中电磁铁的遗传算法优化设计[J].传感技术学报,2016,29(6):813-820,8.基金项目
国家科技支撑计划基金项目（2014BAF12B01）；高性能复杂制造国家重点实验室自主研究课题基金项目 （）
