Understanding the external and internal factors during an additive manufacturing (AM) process is crucial, as they can significantly affect the final product′s performance.Efforts have been made to unwind the product, process, property, and performance (PPPP) relationships.The conventional exptl. approaches can lead to boundless runs, resulting in exorbitant costs for research and development.Hence, developing, adapting, and validating numerical models is essential to achieving the desired performance of 3D-printed products with lesser resource utilization.In this study, numerical and exptl. techniques were used to perform the PPPP relationship assessment on material extrusion 3D-printed parts.Three infill designs (rectangular, triangular, and hexagonal), with layer heights (0.1 mm, 0.125 mm, and 0.2 mm), and three different materials (carbon fiber-reinforced polyamide-6 (PA6-CF), polyamide-6 (PA6), and acrylonitrile butadiene styrene (ABS)), were selected for the investigation.Taguchi′s design of experiments (DOE) method was used to limit the number of numerical simulations and exptl. runs.A thermomech. numerical model was utilized to perform the material extrusion process simulations and mech. performance prediction of the specimens.Subsequently, the samples were 3D-printed and tested mech. to validate the numerical simulation results.The dimensional, distortion, and mech. anal. performed on numerical simulation results agreed well with the exptl. observations.