Development of a 3D model to predict curing dimensions and conversion rates of curable ceramic systems during stereolithography 3D printing process

Numerical simulation model for the curing of photosensitive acrylate resin in a stereolithography process

“…In the presence of absorbing fillers other than the photoinitiator, the depth of light penetration Dp, defined as a function of the molar absorption coefficient and the concentration of absorbing compounds in the resin, can be expressed by equation (18):…”

“…[9][10][11][12][13] Although existing models significantly improve understanding of the stereolithography process, they tend to focus solely on the study of formulation parameters, such as curing time, [14] oxygen concentration, [15] temperature in the resin tank [16] or filler-induced light scattering in the case of ceramic printing, on numerical approaches that are often static during layer printing. [17][18][19] Thus, while existing studies are presented as key tools for understanding, their limited experimental validation sometimes makes them restricted predictive tools.…”