Probabilistic prediction of mechanical behavior of additively manufactured product considering geometrical imperfections associated with building direction

Abstract

Consideration of uncertainties in numerical simulations of materials and structures is required for their validation (ASME 2006). The uncertainties and variability to be taken into account for the modeling and simulation include the material property, geometry, constraint condition, loading condition and initial condition. To consider the variability in linear elastic material properties, many theoretical approaches based on the first-order perturbation (

Comparison of the fatigue life of pure titanium and titanium alloy clasps manufactured by laser powder bed fusion and its prediction before manufacturing

“…FEA can predict the fatigue life before manufacturing, as shown in Figure 8. To analyze the variability, novel numerical studies have considered the initial defects in probabilistic FEA [18][19][20]38]. However, the variability in the fatigue life can be expressed by calibrating the fatigue parameters in the SWT method, in a similar manner as that performed for the averaged fatigue life in Figure 8 and Table 3.…”

“…In addition to the experimental study, a numerical approach using finite element analysis (FEA) is presented to predict the fatigue life of CPTi and Ti64 clasps before manufacturing. The need for numerical studies using FEA is increasing owing to the demand for the quality assurance of AM products [18][19][20] and for the design of new medical devices [21]. In the Materials and methods section, the design of the clasp specimens is presented, followed by the fatigue test method and the numerical strategy using the elastoplastic material model, finite element model, and fatigue life prediction method.…”