This master's thesis addresses the optimization of the Vat Photopolymerization (VPP) process based on Digital Light Processing (DLP) technology with the aim of improving the dimensional accuracy of fabricated specimens. The research included a structural upgrade of a laboratory DLP 3D printer through the development of a height-adjustable platform for the optical system and the design of a measurement system for monitoring the temperature of the photopolymer during the printing process. To evaluate the influence of process parameters, a test specimen incorporating various geometric features was designed. The optimization of the process parameters was carried out using the Design of Experiments (DOE) methodology based on an orthogonal array. The effects of layer thickness, exposure time per layer, and photopolymer temperature were investigated. Dimensional measurements of the selected geometric features were performed using a digital optical microscope, while the obtained results were statistically analysed using analysis of arithmetic means, signal-to-noise (S/N) ratio, and analysis of variance (ANOVA). Based on the conducted experiments and statistical analysis of the results, the optimal set of process parameters for the investigated VPP (DLP) printing system was determined.
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