ESIGN OF FURNACE HEAD TEMPERATURE CONTROL SYSTEM DESIGN FOR 3D PRINTER USING FUZZY LOGIC CONTROLLER

Abstract

Temperature control is an important factor that helps ensure high quality in 3D printing. Traditional controllers often struggle to handle the nonlinear characteristics, and time delays inherent in heating systems on 3D printers. This study proposes a translucent controller (FLC) to improve the ability to regulate the temperature in 3D printers. FLC with its ability to handle language variables and uncertain information, provides a powerful alternative to traditional control methods. FLC is designed to control the nozzle temperature of 3D printers using filament technology. Simulation and experimental results show that FLC is superior to traditional PID controllers in minimizing overheating, steady state error and fast response time. In addition, FLC's ability to adapt to different printing conditions ensures stability and efficiency in temperature regulation, suitable for a wide range of materials and printing environments. The study shows the control potential of unstable systems using FLC, contributing to improving the efficiency and reliability of production systems.