Research On Intelligent Temperature Control System And Path Planning Algorithm Of 3D Printer

As an emerging manufacturing technology,3D printing is widely used in all walks of life,while FDM type 3D printer is favored by consumers because of its low price and simple use.The accuracy of FDM type 3D printer printing model is mainly reflected in the temperature control of the printer and the path planning involved in the printing process.The temperature control of FDM type 3D printer is mainly refers to the temperature control of the printer nozzle,The control of nozzle temperature adopts the traditional PID algorithm.Although the PID control method can control the printer temperature stably in the ideal printing environment,but nozzle temperature affected by environmental temperature,the heating element in printer,heat dissipation performance of nozzle system,air flow and so on,so the control of nozzle temperature is complicated and non-linear,the traditional PID control can't meet the demand of the print.There are two kinds of path planning for FDM type 3D printer,one is filling path planning,the other is contour path planning.In recent years,filling path planning has been studied by scholars and achieved good results,but contour path planning has been studied less.Parallel scanning method is generally used in contour path planning,but this method makes more empty travel of the nozzle,resulting in a longer time to print the model,and it caused unnecessary wear to the printer,which also reduces the printing accuracy.In this paper,aiming at the defect of traditional PID algorithm controlling the temperature of FDM type 3D printer nozzle,a BP neural network with strong self-learning ability and strong nonlinear expression ability is proposed to combine with PID to design an intelligent temperature control system based on BP-PID controller.In addition,an improved algorithm for whale optimization is proposed for the shortcomings of slow convergence speed and easy to fall into local minima of BP network.The use of parallel scanning for printer contour path planning will cause unnecessary wear to the printer and affect the quality of the print model.this paper attributes the contour path planning problem to the GTSP problem,and uses the improved whale algorithm to solve the problem,making the printing empty travel effectively reduced.This paper conducts simulation analysis on the intelligent temperature control algorithm and contour path planning scheme through MATLAB software,and designs an intelligent temperature control system with Lab VIEW as the temperature monitoring interface and microprocessor as the core.The results show that the intelligent temperature control system based on BP-PID controller that optimized by improved whale optimization algorithm has a better temperature control effect,and the improved whale optimization algorithm has a better effect in solving the printer contour path planning problem.