Optimization Design of Airborne Photoelectric Integrated Box Based on Response Surface Methodology
The airborne photoelectric integrated box is faced with the harsh working environment such as vibration and shock during the flight of fighter aircraft.In order to reduce the maximum deformation and increase the first mode frequency of the structure,the multi-objective optimization design of the photoelectric integrated box is carried out in order to improve the vibration resistance and structural reliability.According to the extreme condition of acceleration overload,the static analysis under specific load and the modal analysis under ordinary constraint are carried out on the 3D model of the original photoelectric integrated box.The Optimal Space-Fulling Design(OSFD)method was used for experimental design.Structural design parameters were extracted and sample space was established.The response surface model was constructed by Kriging method.To minimize the structural deformation and increase the first-order modal frequency of the structure,taking the equivalent stress and mass of the structure as constraints,MOGA genetic algorithm was used to optimize and solve the response surface model.The optimal solution of the response surface model was obtained.Finally,the model was reconstructed and verified parametrically.The optimization results show that the maximum deformation is reduced by 44.02%,the fundamental frequency is increased by 33.6%,and the mass is reduced by 8%,which effectively improves the dynamic performance and reliability of the photoelectric integrated box.