|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Additive Manufacturing Fatigue and Fracture: Developing Predictive Capabilities
||Additive Manufacturing Surface Roughness Formation, Characterization, and Influence on Fatigue Performance
||Joy Gockel, Rachel Evans, Edwin Glaubitz, Anna Dunn, Wesley Eidt
|On-Site Speaker (Planned)
Additive manufacturing provides the ability to fabricate complex geometries. The inherent surface roughness that is produced is difficult to post-process and detrimental to the mechanical performance. The surface formation is influenced by the manufacturing processing parameters and the local geometry. Surface characterization methods and the relationships connecting the processing parameters and melt pool geometry to the surface roughness in laser powder bed fusion will be discussed. The effect of the surface roughness on the fatigue performance is determined using standard and custom test coupon geometries for axial and vibration-based bending fatigue. Results suggest that surface roughness is a significant factor when the rough surface is at high stress locations. However, competing mechanisms such as porosity, microstructural features and component shape also influence the failure in structurally relevant geometries. Understanding the surface roughness provides guidance for design rules and post-processing development to reduce the impact of surface roughness on fatigue failure.
||Additive Manufacturing, Characterization, Mechanical Properties