Critical Need for the Technology
As additive manufacturing continues its foray into the mainstream production manufacturing markets, increasing geometrical and material complexities require sustainable solutions to reduce waste. Additive Monitoring Systems provides an increasingly sustainable method to reduce the material waste associated with additive manufacturing, allowing for an even-leaner building process. By mitigating energy and labor costs of additive, we are excited to expand the limits of the awesome technology!
Supplemental Need for this Technology
Another benefit of Additive Monitoring System’s in-situ monitoring is the creation of an additional stream of feature data. These data can aid in new material development research, in addition to adding another layer of part certification for mission-critical components.
- Subjective visual inspection (status quo): Often times, part quality estimations are made by technicians walking the shop floor, problematic due to inherent subjectivity and the requirement of constant surveillance.
- 3D printer-specific melt pool monitoring systems: Some 3D printer OEMs provide in-situ monitoring systems, though these systems are cost prohibitive and inconvenient for customers often times interested in OEM-agnostic quality control systems.
- Additive Manufacturing Part Service Bureaus
- In-House Additive Manufacturing Production Facilities at Aerospace and Medical Device Companies
- Additive Manufacturing Research Institutions
Real-time dimensional measurement of Additive Manufacturing parts.
R & D Status of Project
Lab prototyping and initial pilot studies have shown feasibility of commercial integration. Data from Argonne National Laboratory’s Advanced Photon Source is being used to correlate final-part defects to in-situ feature data measured with our monitoring system.
Niall O’Dowd, Founder and CEO: Dr. O’Dowd earned his BS in Mechanical Engineering from the Rochester Institute of Technology, followed by a MS and PhD in Structural Health Monitoring from the University of California San Diego. At Los Alamos National Laboratory, Niall developed system development skills during projects in live computer vision for an ultrasonic laser-based inspection systems and microprocessing for a mode shape measurement electronic speckle pattern interferometer.
Primary industry: Advanced Manufacturing
Category: Quality Control, in-situ Monitoring, Sustainable Manufacturing
Estimated annual revenue: n/a