Optimization of Structural Parameters on Buried Optical Fiber Rigid-Flexible Optoelectronic PCB
To optimize the structural parameters of the buried fiber rigid-flexible optoelectronic PCB and reduce the stress and off-set of the internal fiber,the Response Surface Method(RSM)and the Non-dominated Sorting Genetic Algorithm(NSGA-Ⅱ)were combined to optimize the structural parameters of the rigid-flexible optoelectronic PCB as the objective functions respectively.The finite element analysis model of the buried fiber rigid-flexible optoelectronic PCB was established and the thermo solid cou-pling load was applied to it;the fitted model and regression equation of the stress and offset of the internal fiber were obtained by the RSM;based on the principle of minimizing the two objectives of maximum stress and maximum offset of the fiber,the NSGA-Ⅱ was used to optimize the structure of the buried fiber rigid-flexible optoelectronic PCB and obtain the optimized Pareto solution set was obtained,and the accuracy of the optimized solution set was verified.
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