Abstract: In the fused deposition molding process, the printing parameters have an important impact on the accuracy of the molded specimens. In order to improve the overall dimensional accuracy, the random walk sparrow algorithm is employed to obtain the optimal experimental scheme. Firstly, the orthogonal test of four factors and four levels is designed with the delamination thickness, heating temperature, printing speed, and filling rate of melt deposition molding as the experimental variables. Subsequently, the Taguchi-grey correlation method is used to process experimental data, with the relative error of the different characteristic structure sizes of the sample as the optimization object. Finally, the passed Random walk sparrow algorithm is utilized to calculate the optimal parameter scheme. The results indicate that the sample formed by the optimized process parameters has a 20% increase in the comprehensive dimensional accuracy compared with those obtained using Taguchi-gray correlation method, with a 27% increase in the gray correlation value.

Key words: fused deposition modeling, Taguchi method, grey correlation method, random walk sparrow search algorithm