FDM (Fused Deposition Modeling) printing is a promising method for manufacturing products due to its balance between capabilities and accessibility. By adjusting the printing parameters, such as temperature, speed, and layer thickness, the final product characteristics can be controlled over a wide range. However, at present, there are no established models or techniques to select specific printing parameters that will yield the desired product features. Through a multifactorial experimental approach, nonlinear regression equations have been developed to describe the relationship between product properties and printing conditions, including temperature, speed, and layer height. These equations have allowed us to justify the optimal technological parameters for FDM printing, leading to reduced production time and material waste while achieving the desired characteristics of a fan impeller.