Design Of Electromagnetic Induction Heating System For CFRP And Research On Adaptive Control

Impact resistance,corrosion resistance,low weight,and designability are all advantages of carbon fiber reinforced polymer(CFRP).It's been employed in a variety of industries,including transportation,aerospace,military,medical,and others.Electromagnetic induction may be utilized for CFRP heating and curing because carbon fiber composites have conductivity and induction heating technology offers the benefits of non-contact,heat generation from the inside of the material,easy temperature control,and so on.The temperature distribution and heating impact of CFRP will,however,be affected by the output parameters of the induction power source,coil size and structure,and material anisotropic qualities.In addition,the typical control algorithm has issues with flexibility,anti-interference,and accuracy.Therefore,it is necessary to carry out the design and adaptive control of CFRP electromagnetic induction heating system.The temperature distribution and heating impact of CFRP induction heating are influenced by anisotropy of carbon fiber composites,ply structure,and multi field coupling in the heating process.A finite element analysis model of induction heating of a carbon fiber laminated structure was established,taking into account the equivalent electro-magnetic thermal multi field coupling characteristics of induction heating,in order to investigate the heating mechanism and temperature field distribution of CFRP during induction heating.Under an alternating magnetic field,the formation and distribution of vortex current as well as the calorific value of fiber texture are simulated and estimated.Experiments validate the efficacy and precision of the CFRP induction heating concept.The process parameters such as electromagnetic induction heating frequency,coil diameter,and turns are optimized using a combination of response surface and quadratic model variance in order to improve the effect of CFRP electromagnetic induction heating,which is based on a finite element model of CFRP induction heating.The CFRP electromagnetic induction heating system is created based on the optimal process parameters and control needs.An improved particle swarm optimization fuzzy PID(IPSO-fuzzy-PID)method is created to address the problems of weak adaptability,low accuracy,and limited antiinterference capabilities of classic PID control.The dynamic responsiveness,antiinterference,adaptability,and steady-state accuracy of PID,fuzzy PID,and IPSOfuzzy-PID are compared and studied by simulation using the model of CFRP induction heating system found by genetic algorithm.The simulation results show that,when compared to the traditional PID algorithm,the IPSO-fuzzy-PID algorithm improves the induction heating control system's adaptability,steady-state accuracy,and antiinterference;the improved particle swarm optimization has a significant increase in convergence speed and accuracy.The CFRP electromagnetic induction heating experimental platform has been completed.Experiments validate the possibility of electromagnetic induction heating carbon fiber composites and the efficacy of the control system.The control system and adaptive algorithm presented in this study have stronger adaptive ability,antiinterference,and control accuracy than traditional control systems.It also offers a theoretical basis and reference for the design of CFRP induction heating and control systems.