Personalized ceramic artwork design innovation and process parameter optimization based on 3D printing technology

Ceramics have many applications, covering scienti ic research, medical, industrial, jewelry, etc. Ceramic materials are stable and have a silk-like touch.Ceramic 3D printing technology is based on laser curing molding as a rapid manufacturing technology.This paper proposes a personalized design strategy for ceramic artwork, determines the degree of in luence of ceramic process parameters on the quality of laser 3D printed ceramic artwork by calculating the Pearson's correlation coef icient, and adopts numerical simulation to obtain the ceramic 3D printing quality data, calculates the error of the number of printed layers, and controls the quality of the printed ceramic artwork.The ceramic quality parameter optimization model is established.Five algorithms of SVR support vector regression, BP neural network, RF random forest, RBF radial basis function, and Kriging model are used to set up the relevant parameters of 3D printing, input the six ceramic process parameters that have been processed by the uni ied magnitude, and complete the optimization of the quality ceramic process parameters of laser 3D printing.Through the investigation and analysis of the effect of ceramic artwork design, the ceramic color designed in this paper makes the user generate positive emotions; a total of 235 positive emotions were generated, accounting for nearly 60%.The mean value of user preference for ceramic samples is analyzed.The samples with the highest user preference are sample 4, sample 6, and sample 1, and the mean values of preference are 3. 425, 3.245, and 3.148, respectively.