摘要
熔融沉积成形(fused deposition modeling,FDM)3D打印需要将打印喷头加热至材料所需温度后才能开始打印。由于单喷头FDM型3D打印机的打印效率较低,以及其加热系统的滞后性较大且稳定性差,使得整个成形过程既耗时又浪费资源,且成形件的质量不高。为解决上述问题,结合打印材料物理性质和化学性质的差异性,提出了一种基于遗传算法-模糊PID(proportional-integral-derivative,比例-积分-微分)的温度控制方法,以实现对双喷头FDM型3D打印机加热方法的控制,并建立温度控制系统的MATLAB/Simulink仿真模型,以验证所提出的控制方法的可靠性。仿真和实验结果表明,与传统PID控制、模糊PID控制相比,遗传算法-模糊PID控制的响应时间缩短了36.03%和32.45%,调节时间缩短了28.06%和20.99%,具有响应速度快、调节时间短、超调量小和控制效果稳定等优势。研究结果可为复合材料的双喷头FDM 3D打印提供参考。
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 algorithmfuzzy 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.
作者
冀炳晖
茅健
钱波
JI Binghui;MAO Jian;QIAN Bo(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201600,China;Sichuan Research Institute,Shanghai Jiaotong University,Chengdu 610213,China)
出处
《工程设计学报》
CSCD
北大核心
2024年第2期151-159,共9页
Chinese Journal of Engineering Design
基金
国家重点研发计划资助项目(2018YFB1105301)。
关键词
熔融沉积成形
双喷头
温度控制
遗传算法
模糊PID
fused deposition modeling
dual-nozzle
temperature control
genetic algorithm
fuzzy PID
