The emergence of 3D printing technology has brought about a revolutionary change in the creation and design of ceramic artwork, which is not only able to quickly and accurately produce complex ceramic structures, but also able to achieve personalized customization and creative design, which has injected a new vitality into ceramic art. In this paper, after analyzing the application status of 3D printing technology in personalized ceramic artwork, we explored the method of generating the image of ceramic artwork based on genetic algorithm, after comparing the traditional and multi-objective optimization two kinds of 3D printing task scheduling methods, we established a 3D printing multi-objective optimization task scheduling problem model, combined with the improvement of particle swarm algorithm for solving the problem, and got the closest point to the ideal point as the optimal solution as: \(\theta_{1} =180°, \; h=0.201mm,\; \Delta V =336.22mm3, \;T=342\). In the analysis of ceramic artwork modeling based on perceptual imagery, it is found that the perceptual vocabulary corresponding to Sample 2 and Sample 3 is more inclined to the rounded, simple, and practical among the four influencing variables of the structural factors.
