Research on the Environment Temperature of 3D Printing Methacrylate based on Adaptive Fuzzy PID Algorithm

Abstract

In the 3D printing process of methacrylate gelatin (GelMA), the temperature control system of inner chamber of the 3D bio printer is a non-linear time-delay system, and its control quality directly affects the quality of GelMA printing. An adaptive fuzzy PID temperature control strategy was put forward in this article which can effectively adjust the PID parameters, complete the purpose of parameter conversion in the process of temperature control, and perform real-time regulation on the entire ambient temperature of GelMA printing. Compared with the temperature system controlled by traditional PID algorithm, the sampled fuzzy adaptive PID algorithm has better stability and performance, uniform temperature field distribution and temperature difference control and the printed GelMA has better biological performance and more complete shape. The accuracy was high, the anti-interference ability was strong, and the printed GelMA material had better shape quality.