Improve the surface roughness of resin 3D printed products using RSM Method

Abstract Additive Manufacturing has been widely applied in many different industries and fields, especially in 3D printing technology using liquid plastic materials - a technology that creates products with superior structural complexity detail, and surface roughness. In developing countries, research into the use of desktop and open-source devices to create products that can be used in important fields such as industry, healthcare, and jewelry is of great interest due to advantages in equipment costs, materials, etc. However, nowadays, products created on these lines are of unsatisfactory quality for application in production. The main reason is that users do not have the optimal process parameter sets for each specific application goal, and research on this issue is not receiving adequate attention. Therefore, the authors researched to analyze and learn about the influence of important process parameters on product surface quality, determining the optimal set of parameters suitable for the product. The study uses the Response Surface Methodology (RSM) method to design experiments. Data on the surface roughness of 32 test samples were analyzed using the ANOVA method to evaluate each process parameter’s influence on surface roughness. Minitab version 18 software was used for optimization. The research results have identified an optimal set of parameters suitable for most open-source machines using liquid plastic materials today, with a significantly improved surface roughness Ra value of the test specimen.