An integrated computational materials engineering-anchored closed-loop method for design of aluminum alloys for additive manufacturing

Saket Thapliyal, Mageshwari Komarasamy, Shivakant Shukla, Le Zhou, Holden Hyer, Sharon Park, Yongho Sohn, Rajiv S. Mishra

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

A closed-loop approach based on integrated computational material engineering was used to design, fabricate and characterize an Al–1.5Cu–0.8Sc–0.4Zr (wt%) alloy for laser powder bed fusion additive manufacturing (AM). Finalization of composition and prediction of solidification behavior and mechanical properties were done using calculation of phase diagrams (CALPHAD) and analytical tools. The microstructure of the printed alloy in as-built condition consisted of crack-free regions with fine-equiaxed grains which was consistent with CALPHAD results. Yield strength (YS) of ~349 ± 8 MPa was also in more than 90% agreement with predicted YS. The findings demonstrate an efficient methodology for application-based alloy design for AM.

Original languageEnglish
Article number100574
JournalMaterialia
Volume9
DOIs
StatePublished - Mar 2020
Externally publishedYes

Funding

The work was sponsored by the Office of Naval Research under the ONR Award # N00014-17-1-2559 . The authors thank materials research facility (MRF) at UNT for microscopy facility. The authors also acknowledge Ms. Advika Chesetti for helping to prepare samples for microscopy.

Keywords

  • Additive manufacturing (AM)
  • Alloy design
  • Aluminum alloys
  • Atomization
  • CALPHAD

Fingerprint

Dive into the research topics of 'An integrated computational materials engineering-anchored closed-loop method for design of aluminum alloys for additive manufacturing'. Together they form a unique fingerprint.

Cite this