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ICME-based fatigue life prediction for additive manufactured metallic components

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68936-20-C-0024
Agency Tracking Number: N19B-026-0102
Amount: $139,685.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N19B-T026
Solicitation Number: 19.B
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-10-23
Award End Date (Contract End Date): 2020-04-28
Small Business Information
2650 Indian Ripple Rd
Beavercreek, OH 45440
United States
DUNS: 831845255
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ayman Salem
 President
 (937) 531-6657
 ayman.salem@icmrl.net
Business Contact
 Daniel Satko
Phone: (937) 705-0892
Email: dan.satko@icmrl.net
Research Institution
 University of Memphis
 Deborah Hernandez Deborah Hernandez
 
Office of Sponsored Programs 215 Administration Building
Memphis, TN 38152
United States

 (901) 678-2648
 Nonprofit College or University
Abstract

Despite the tremendous benefits of additive manufacturing (AM) to our warfighters, uncertainty in fatigue life predictions have been a major roadblock for certifying metallic AM parts to fly. We are proposing a hybrid modeling/inspection approach to estimate fatigue life of AMed parts using damage tolerance analysis combined with inspections. The new developed tool is expected to provide certification authorities with the first step towards wider use of AMed in critical components that could be compliant with MIL-STD 1530. The model is designed to account for crack growth rates (da/dN ) vs ?K and the associated data for calibration and validation with linkages to the processing and post processing parameters of AM within our integrated computation adaptive additive manufacturing (iCAAM) software suite for predicting location specific residual stresses, microstructure (crystallography, morphology of phases, and defect) spatial distributions, anisotropic yield surface. The developed tools will also include linkages to non-destructive evaluation (NDE) data.

* Information listed above is at the time of submission. *

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