Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7972119 | Materials Science and Engineering: A | 2018 | 7 Pages |
Abstract
Additive manufacturing (AM) has the potential to revolutionize the way parts are designed and manufactured; however, AM also produces defects that influence the performance of the components. In order to ensure the quality of the manufactured parts, the processing-structure-property-performance (PSPP) relationship must be understood. In this study, the porosity created during the AM process is investigated, and its influence on performance is quantified with respect to the PSPP framework. Test specimens were fabricated with different processing pedigrees, and the porosity populations within each specimen was characterized. The fatigue life of the specimen was predicted based on the size and location of porosity using a fatigue crack growth approach. Results show that the fatigue life can be successfully predicted, when the appropriate crack growth behavior is used. The insight gained in this study will inform future AM fatigue studies and will lay the groundwork for design and qualification of fracture-critical AM components.
Related Topics
Physical Sciences and Engineering
Materials Science
Materials Science (General)
Authors
Luke Sheridan, Onome E. Scott-Emuakpor, Tommy George, Joy E. Gockel,