NSF award 2624565 · University of Florida

CAREER: Manufacturing USA: Deep Learning to Understand Fatigue Performance and Processing Relationship of Complex Parts by Additive Manufacturing for High-consequence Applications

Final report due

28 August 2028

in 680 days · The award ends on 30 April 2028.

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Decide about an extension1 Jan 2028in 440 days
award ending 2028-04-30 · Research.gov
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Extension request16 Mar 2028in 515 days
award ending 2028-04-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Apr 2028in 550 days
award ending 2028-04-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Aug 2028in 680 days
award ending 2028-04-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Aug 2028in 680 days
award ending 2028-04-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Aug 2028in 680 days
award ending 2028-04-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 30 April 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 August 2028.

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Award card

Award number: 2624565
Period of support: 1 Oct 2025 – 30 Apr 2028
Amount: $500,000
Awardee: University of Florida, Gainesville, FL
Program: CAREER: FACULTY EARLY CAR DEV, AM-Advanced Manufacturing
Directorate: ENG

Abstract

Metal additive manufacturing (AM) such as laser powder-bed fusion (LPBF) has been increasingly explored not only for product innovation, but also shop-floor production, demonstrated by growing success from a variety of industries. However, the lack of knowledge in both fatigue failure and the performance uncertainty of LPBF parts poses a significant challenge and undermines the potential of deploying LPBF for…

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