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Algorithmic Solutions for Third Party Low-Cost Sensing of LPBF

Award Information
Agency: Department of Defense
Branch: Defense Logistics Agency
Contract: SP4701-20-P-0033
Agency Tracking Number: L193-002-0019
Amount: $99,919.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DLA193-002
Solicitation Number: 19.3
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-04-13
Award End Date (Contract End Date): 2020-10-12
Small Business Information
9689 Towne Centre Dr
San Diego, CA 92121
United States
DUNS: 090122057
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Eric Anstadt
 Engineering Manager
 (571) 266-5306
 eric.anstadt@quartus.com
Business Contact
 Andrea Cuneo
Phone: (858) 875-6988
Email: andrea.cuneo@quartus.com
Research Institution
N/A
Abstract

Quartus’ Neural Networks for In-situ Inspection of LPBF (NNIIL) program leverages the latest machine learning and convolutional neural network (CNN) methods to perform data processing of manufacturing information captured during in-situ inspection of laser powder bed fusion (LPBF) parts. This methodology has the potential to generate more accurate flaw detection results with much less development time and effort than traditional data processing with explicit algorithms. Preliminary trials using CNNs trained on actual LPBF data and in a few days’ time have approached the accuracy achieved with more traditional algorithms developed over a much longer period. Quartus will develop these methods using actual LPBF data already collected under DLA and NASA funded programs performed by team partner Flightware, thus accelerating this work and leveraging prior Government investment. Quartus has performed prior software tasks for Flightware as a subcontractor on these programs, and is therefore very familiar with many of the data processing issues. In this program, Quartus and Flightware have agreed to switch prime and subcontractor roles, because the majority of the effort needed lies with Quartus. Flightware will support this work as a subcontractor, and has agreed to allow Quartus to access its LPBF profile data.

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

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