NSF award 2600066 · Oklahoma State University

CAREER: Privacy-preserving Transfer Learning for Process-defect Modeling toward Accelerated Cross-system Certification for Metal Additive Manufacturing

Final report due

28 August 2027

in 314 days · The award ends on 30 April 2027.

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No-cost extension notice20 Apr 2027in 184 days
award ending 2027-04-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Aug 2027in 314 days
award ending 2027-04-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Aug 2027in 314 days
award ending 2027-04-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Aug 2027in 314 days
award ending 2027-04-30 · 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 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 August 2027.

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Award card

Award number: 2600066
Period of support: 1 Oct 2025 – 30 Apr 2027
Amount: $515,651
Awardee: Oklahoma State University, Stillwater, OK
Program: AM-Advanced Manufacturing, CAREER: FACULTY EARLY CAR DEV, EPSCoR Co-Funding
Directorate: ENG

Abstract

The process-defect relationship is one of the key elements to the certification of additive manufacturing (AM) parts, which has been a major challenge in accelerating AM technology deployments in the industry. Advanced machine learning methods that leverage massive data to characterize the process-defect relationship have been studied for AM certifications. However, some AM fabrications and certification courses,…

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