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Additive Manufacturing for Naval Aviation Battery Applications

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0578
Agency Tracking Number: N18A-008-0203
Amount: $752,999.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N18A-T008
Solicitation Number: 2018.1
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-07-24
Award End Date (Contract End Date): 2021-07-30
Small Business Information
9063 Bee Caves Road, Austin, TX, 78733
DUNS: 625120902
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Craig Milroy
 (512) 263-2101
 cmilroy@tri-austin.com
Business Contact
 Matthew Berry
Phone: (512) 615-4482
Email: mberry@tri-austin.com
Research Institution
 The University of Texas at Austin
 Elena   Mota
 3925 W. Braker Lane, Mail Code
Austin, TX, 78759
 (512) 471-6424
 Nonprofit college or university
Abstract
Texas Research Austin (TRI-Austin) will continue to partner with the University of Texas, Austin, to use additive manufacturing for fabricating and optimizing the lithium ion and electroactive metal electrode systems for which the team established proof of concept in the Phase I base period. The Aerosol Deposition Method (ADM) is a broadly applicable additive manufacturing technology that has been used primarily to deposit ceramic materials, but can potentially deposit any class of material required for a battery (ceramic, metal, polymer). The University of Texas will continue to conduct fundamental research to expand the materials palette of ADM to encompass polymers and electroactive metal oxides, and to produce metal oxide electrodes with selective laser sintering (SLS), while TRI will continue to optimize screen and extrusion-printing protocols. The team will build traditional and conformal prototype battery cells that demonstrate the benefits of additive manufacturing (AM) for improving key performance parameters (KPPs), and demonstrate the functionality of battery cells under Navy-relevant operating conditions. The expertise developed in Phase I will allow us to use printing as a high-throughput method to optimize individual components, and demonstrate AM benefits in improving battery KPPs.

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

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