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Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

Award Information
Agency: Department of Defense
Branch: Defense Logistics Agency
Contract: SP4701-18-P-0112
Agency Tracking Number: L18A-001-0002
Amount: $99,969.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: DLA18A-001
Solicitation Number: 2018.0
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-09-19
Award End Date (Contract End Date): 2019-03-18
Small Business Information
335 Madison Avenue, 3rd Fl
New York, NY 10017
United States
DUNS: 080153545
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Annie Wang
 (267) 241-1119
 annie.wang@senvol.com
Business Contact
 Annie Wang
Phone: (267) 241-1119
Email: annie.wang@senvol.com
Research Institution
 The Pennsylvanie State University
 Michelle Heron
 
Old Main
State College, PA 16801
United States

 (814) 863-5805
 Domestic Nonprofit Research Organization
Abstract

The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to solve supply chain issues can be realized if AM parts can be manufactured with consistent quality and equivalency without having to be tied to a specific AM machine, material or process. Senvol proposes to solve the above obstacles by implementing advanced, third party, in-situ monitoring systems of various modalities and by analyzing the data collected from these systems using: (1) Real-time data processing algorithms (e.g. computer vision algorithm) to extract data (i.e. process signatures), and (2) Data-driven machine learning algorithms to relate material properties and mechanical performance to process signatures. Senvol also proposes to develop standardized AM procedures that will be essential to DoD acceptance of AM parts from the DoD supply chain.

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

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