Study On Control System Of Fused Deposition Molding 3D Printer And Optimization Of Process Parameters

3D printing is also called Additive Manufacturing.In recent years,due to the continuous development of this technology,it has been widely used in manufacturing,education,medicine and other fields.Fused Deposition Molding(FDM)is a kind of 3D printing technology,which has become the most widely used technology in 3D printing due to its advantages of low cost,good mechanical properties and extensive selection of molding material.The performance of the control system of 3D printer via Fused Deposition Molding has a great influence on the quality of the molding parts.Therefore,it is necessary to study the control system of 3D printer via Fused Deposition Molding.This paper designed a FDM control system through optimizing the hardware circuit and the core control algorithm,which can achieve high forming accuracy and color printing.Firstly,the hardware circuit and software modules of the control system were designed.In order to improve the data processing and interaction ability of the control system,a high performance ARM microprocessor was used as the main control chip.In order to reduce the interference between commands,the dual-channel command acquisition mode was designed.In the core algorithm,the main research were motion control and extruder temperature control.In the aspect of motion control,Bresenham linear algorithm was used to realize the linkage of xyz axis motion motors and three-color wire feeding motors,so that the 3D printer can achieve multi-color printing,and the cubic polynomial acc/dec algorithm was used to improve the traditional trapezoidal acc/dec control of the motors.The mathematical model,realization method and other aspects of the cubic polynomial acc/dec algorithm were discussed and studied.Through forward-looking control,the system motion can be accelerated on the premise of satisfying the motion performance of the equipment.In the aspect of temperature control,two-point method was used to establish the control model of the extruder.The single neuron PID algorithm was used to optimize the temperature control of the extruder,and the advantages of this algorithm were verified by contrastive MATLAB simulation with PID.Finally,The relevant experiments was carried out for the control system in this paper,including transition color and multicolor model printing experiment,contrast experiments of cubic polynomial acc/dec algorithm with trapezoidal acc/dec algorithm and contrast experiments of the single neuron PID algorithm with traditional PID algorithm.The feasibility and validity of the control system designed in this paper were verified through the experiments,so the purpose of improving the performance of the traditional control system of FDM was basically completed.the process parameters of single and multi-objective parts were optimized based on orthogonal experiment,which provided a reference for improving the dimensional accuracy of the molding parts further.