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Adaptive, Multi-Energy Computed Tomography for Large Additively Manufactured Parts

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00178-17-C-1335
Agency Tracking Number: N171-070-1111
Amount: $124,779.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N171-070
Solicitation Number: 2017.1
Timeline
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-09-27
Award End Date (Contract End Date): 2018-03-26
Small Business Information
1717 Stewart Street
Santa Monica, CA 90404
United States
DUNS: 140789137
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Pedro Frigola
 (310) 822-5845
 frigola@radiabeam.com
Business Contact
 Salime Boucher
Phone: (310) 822-5845
Email: boucher@radiabeam.com
Research Institution
N/A
Abstract

Additive manufacturing (AM) technology, through its unique layer-by-layer, freeform fabrication capability, has the potential to reduce supply chain issues and enable new components with superior performance at reduced cost for the Navy. Although the development of metal AM techniques has made significant advances in recent years, unique processing and material development issues will require the use non-destructive evaluation (NDE) for critical AM fabricated parts. X-ray Computed Tomography (CT) has been demonstrated as a valuable tool in identifying porosity, cracks, and delamination in metal AM fabricated parts. While commercial off-the-shelf X-ray CT systems have been found suitable for NDE of small (10s of mm) AM parts, for larger AM parts (100s 1000s mm) no such X-ray CT systems exist. This proposal addresses NDE requirements for powder-bed fusion (PBF) and direct energy deposition (DED) AM fabricated parts ranging in size from 100s mm to 1000s mm scale and for materials ranging (in density) from aluminum to tungsten. In Phase I we will develop a conceptual design for the Adaptive, Multi-Energy Computed Tomography system for Large Additively Manufactured Parts (AMECT-LAMP), and demonstrate feasibility with analytical modeling and testing. In Phase II we will develop a prototype AMECT-LAMP, and experimentally verify its performance.

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

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