Design and Simulation of Mechatronic System for Additive Manufacturing of Recyclable Nylon
DOI:
https://doi.org/10.6919/ICJE.202607_12(7).0008Keywords:
Recyclable Nylon; Additive Manufacturing; Mechatronics; Dynamic Adaptive Path Planning Algorithm; Experimental Verification.Abstract
This paper focuses on additive manufacturing of recyclable nylon and designs a mechatronic system. In terms of mechanical transmission, high-precision screws and linear guides are selected, combined with precision motor drives to ensure that the print head moves accurately in the X, Y, and Z axes, with a positioning accuracy of ±0.05mm. The electrical control is based on PLC, and the motor parameters are adjusted in real time based on sensor feedback. The multi-sensor fusion detection system uses the Kalman filter algorithm to integrate temperature, pressure, displacement and other data, and the data accuracy is improved by 20%. The adaptive path planning algorithm optimizes the path in real time based on the material circulation state, shortens the printing path length by 15%, and improves the uniformity of material deposition by 18%. Through the hardware-in-the-loop simulation experimental platform test, the material recovery efficiency of the new algorithm is 25% higher than that of the traditional algorithm, reaching 85%. The printing accuracy test shows that the dimensional accuracy error is controlled at ±0.1mm, and the shape accuracy deviation is reduced by 22%. In the mechanical properties test, the tensile strength is increased by 12% and the bending strength is increased by 10%. The experimental data fully verified the efficiency and superiority of the system and algorithm in the additive manufacturing of recyclable nylon.
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