You are here
Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.
Award Information
Agency: Department of Defense
Branch: Defense Logistics Agency
Contract: SP4701-18-P-0115
Agency Tracking Number: L18A-001-0003
Amount:
$99,989.00
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):
2018-09-27
Award End Date (Contract End Date):
2019-03-26
Small Business Information
1270 North Fairfield Rd, Dayton, OH, 45432
DUNS:
004475216
HUBZone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Principal Investigator
Name: John Middendorf
Phone: (937) 306-6707
Email: JMiddendorf@utcdayton.com
Phone: (937) 306-6707
Email: JMiddendorf@utcdayton.com
Business Contact
Name: Diana Suchecki
Phone: (937) 426-2808
Email: dsuchecki@utcdayton.com
Phone: (937) 426-2808
Email: dsuchecki@utcdayton.com
Research Institution
Name: University of Dayton Research Institute
Contact: Claudette Goeber
Address: 300 College Park
Dayton, OH, 45469-0104
Phone: (937) 229-2919
Type: Domestic nonprofit research organization
Contact: Claudette Goeber
Address: 300 College Park
Dayton, OH, 45469-0104
Phone: (937) 229-2919
Type: Domestic nonprofit research organization
Abstract
Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry sensors acquired by UDRI, and a low-cost sensor fusion system, AMSENSE, developed and sold by UTC.This project will judge the efficacy of each sensor for in-process monitoring and control of Laser Powder Bed Fusion (LPBF), and then decide which sensors should be combined into a new sensor fusion system that will finally enable qualified AM processes to exist en masse within the DoD supply chain.These decisions will be based on correlations between sensor data and final build results measured on physical test specimens.At the end of this project the research team will identify what future work is needed to implement the new sensor fusion system on DoD LPBF systems for real-time process control. * Information listed above is at the time of submission. *