3D Printing Nozzle Motion And Temperature Control Optimization

In today's society,the manufacturing industry has an important position.The production technology of parts and components determines the development of the industrial society.As a new technology for parts manufacturing,3D printing has gradually developed in this industry.It has rich modeling,wide range of materials,and low The cost,all-round manufacturing,has received great attention from society.From the perspective of the entire 3D consumer market,FDM has a huge magnitude,but the products printed by this technology have burrs on the surface of the object that are not smooth,and the printing effect is not ideal.The main reason for this result is that the temperature control of the print head is inaccurate during the printing process,and the start and stop control of the nozzle movement is inaccurate,resulting in the occurrence of errors.Therefore,improvement of this problem is particularly critical.In this paper,PLA will be used as the raw material for the feed wire,and a 3D printing method to improve the temperature control accuracy of the nozzle and the nozzle movement accuracy will be studied.The nozzle temperature control system in this paper is to change the traditional PID control method and add fuzzy PID algorithm to achieve the optimal temperature control.The nozzle motion control system is based on the FDM-based melting 3D printing platform.The 57BYG250 B stepper motor and encoder are selected.The PLC controller is programmed to input pulse signals to the driver.The driver drives the stepper motor to rotate and adds incremental encoder detection.The amount of pulse input is fed back to the PLC to adjust the pulse in time,and the motion position is compensated and corrected in real time to form a stepper motor closed-loop control system.The experimental results are indeed improved compared with the previous step without the encoder.