Fatigue life prediction of ABS/Graphene nanoplatelets 3D-printed composite parts

A computational model has been developed to predict the fatigue life of Acrylonitrile Butadiene Styrene (ABS)/Graphene Nanoplatelet (GNP) composite parts produced using Fused Filament Fabrication (FFF) technique. This model accounts for key factors such as raster angles, GNP content in the filaments, and material degradation during cyclic loading. Fatigue life predictions were performed using two strain-based models: the modified Morrow model and the Smith-Watson-Topper (SWT) model. To address the effects of internal defects in 3D-printed parts, the model employed an innovative approach, treating the defected parts as homogeneous, defect-free components but with an imaginary notch and associated notch strength reduction factors at various load levels. The results demonstrated that this method effectively predicts fatigue life of FFF-processed 3D-printed parts.