This project aims to develop a comprehensive, validated simulation method for the entire 3D printing process, utilizing computational fluid dynamics (CFD). We propose a combined control technique that addresses the composition of geopolymer materials, printing strategies, and rheological behavior. To achieve this, our first step will be to determine the optimal composition for a 3D-printable geopolymer. This involves identifying key time-dependent rheological characteristics and evaluating the mechanical response post-printing. The rheological parameters measured will serve as input for the CFD model. Upon successful validation of the model, we will establish a systematic and integrated approach that will
encompass (i) the composition of geopolymer materials, (ii) operational printing parameters, and (iii) realistic rheological responses to predict and control the quality of the 3D printed geometry. By employing this method, our joint team aims to gain a fundamental understanding that will allow us to predict potential structural defects in highly complex structures made from 3D printed geopolymer materials.