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Importance of Build Design Parameters to the Fatigue Strength of Ti6Al4V in Electron Beam Melting Additive Manufacturing.
Ghods, Sean; Schur, Reid; Montelione, Alex; Schleusener, Rick; Arola, Dwayne D; Ramulu, Mamidala.
Afiliación
  • Ghods S; Department of Materials Science and Engineering, University of Washington, Seattle, WA 98195, USA.
  • Schur R; Department of Materials Science and Engineering, University of Washington, Seattle, WA 98195, USA.
  • Montelione A; Department of Materials Science and Engineering, University of Washington, Seattle, WA 98195, USA.
  • Schleusener R; Department of Materials Science and Engineering, University of Washington, Seattle, WA 98195, USA.
  • Arola DD; Department of Materials Science and Engineering, University of Washington, Seattle, WA 98195, USA.
  • Ramulu M; Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.
Materials (Basel) ; 15(16)2022 Aug 16.
Article en En | MEDLINE | ID: mdl-36013755
ABSTRACT
The fatigue properties of metals resulting from Powder Bed Fusion (PBF) is critically important for safety-critical applications. Here, the fatigue life of Grade 5 Ti6Al4V from Electron Beam PBF was investigated with respect to several build and component design parameters using a design of experiments (DOE). Part size (i.e., diameter), part proximity, and part location within the build envelope were considered. Overall, metal in the as-built condition (i.e., no post-process machining) exhibited a significantly lower fatigue life than the machined surface condition. In both conditions, the fatigue life decreased significantly with the decreasing part diameter and increasing radial distance; height was not a significant effect in the machined condition. Whereas the surface topography served as the origin of failure for the as-built condition, the internal lack of fusion (LOF) defects, exposed surface LOF defects, and rogue defects served as the origins for the machined condition. Porosity parameters including size, location, and morphology were determined by X-ray micro-computed tomography (XCT) and introduced within regression models for fatigue life prediction. The greatest resistance to fatigue failure is obtained when parts are placed near the center of the build plane to minimize the detrimental porosity. Machining can improve the fatigue life, but only if performed to a depth that minimizes the underlying porosity.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos