Studying the vibratory behavior of inherently damped laser powder bed fused (LPBF) specimens has led to an improved damping performance assessment via a multifactor correlation model. The damping demonstrated in LPBF (additively manufactured) specimens is an artifact of 1–3% unfused volume of powder that is capable of suppressing vibration 95% compared to a fully fused part. The original model associates the damping mechanism to unfused powder motion and a sliding interaction, both, respectively, captured by the interaction between vibratory shear and displacement. In previous studies with only a few specimen configurations, this two-variable one-parameter nonlinear model has demonstrated 85–90% correlation to empirical damping results. However, the complexity of multiple material data sets, different build cycles, and a multitude of internal geometry configurations reduces this correlation and highlights a necessity for exploring other factors, along with the current factors, without interaction. The following effort uses a regression model to study the effects of vibratory factors on damping performance of Inconel 718 and stainless steel 316L. Selection of a final model employs a backward elimination stepwise regression and Akaike’s information criterion. Final validation of the model compares the predicted damping values to an empirical data set outside of that used to tune the selected model.
Validating a Multifactor Model for Damping Performance of Additively Manufactured Components
AIAA Journal ; 58 , 12 ; 5440-5447
2020-07-09
8 pages
Article (Journal)
Electronic Resource
English