基于遗传算法-模糊PID的双喷头FDM型3D打印机温度控制方法OA北大核心CSTPCD

Fused deposition modeling(FDM)3D printing requires the print nozzle to be heated the desired temperature of the material before printing begins.Due to the low printing efficiency of the single nozzle FDM 3D printer,and the large lag and poor stability of its heating system,the whole forming process is time-consuming and wasteful of resources,and the quality of the formed parts is not high.In order to solve the above problems,a temperature control method based on genetic algorithm-fuzzy PID(proportional-integral-derivative)was proposed to control the heating method of dual-nozzle FDM 3D printer,which combined the differences in physical and chemical properties of printing materials.The MATLAB/Simulink simulation model of the temperature control system was established to verify the reliability of the proposed control method.The simulation and experimental results showed that compared with the traditional PID control and fuzzy PID control,the response time of the genetic algorithm-fuzzy PID control was shortened by 36.03%and 32.45%,and the adjustment time was shortened by 28.06%and 20.99%,which had the advantages of fast response,short adjustment time,small overshoot and stable control effect.The research results can provide reference for dual-nozzle FDM 3D printing of composite materials.