|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Additive Manufacturing Fatigue and Fracture: Developing Predictive Capabilities
||Characterization of Additively Manufactured 17-4 PH Steel Structure with Ultrasonic Technique
||Justin Boswell, Ping-Chuan Wang, Aaron Nelson, Terence Costigan , Robert Van Pelt
|On-Site Speaker (Planned)
Additive manufacturing (AM) of metal structures is rapidly gaining attention in the industry for convenient prototyping and fabrication of non-critical components that are otherwise impractical to produce. Many challenges remain before the technology becomes widely adopted. Primarily, AM parts tend to show weakness in mechanical integrity, mainly resulted from defects intrinsically associated with the AM process such as surface roughness, local delamination between printed layers, and lack of isotropic densification. An ultrasonic-based technique has been developed to characterize fatigue behavior of 17-4 PH stainless steel AM structure, revealing the strong dependence of fatigue lifetime on printing orientation. In this study, such dependence is further investigated and modeled to include the consideration of surface roughness and sintering condition, along with electron microscopy inspection of failed parts. The mechanism of fatigue failure in the steel AM specimens will be proposed and discussed in the presentation.
||Additive Manufacturing, Mechanical Properties, Characterization