Award Data

This project aims to make Laser Powder Bed Fusion (LPBF) additive manufacturing a practical tool for supply chain management for the Defense Logistics Agency.The key step is developing process standardization to make LBPF quality vendor independent. This project will seek to demonstrate the use of a promising high speed melt pool monitoring device as a practical means to establish such process sta ...

Made In Space, Inc. (MIS) and Siemens PLM Software propose an integrated Automated Processing. Monitoring, Control and Remediation System (Aul) to provide a process monitoring and control capability. Made In Space, Inc. leads the effort based on integrating Made In Space, Inc., proven inspection sensors systems with a Digital Thread for Additive Manufacturing (DTAM) system, co-developed by Siemens ...

This SBIR will demonstrate coaxial thermal imaging using the Stratonics ThermaViz® sensor as a uniquely effective tool for tracking process metrics, at high-speed, during laser powder bed fusion (LPBF). The Phase II project will then develop this sensing technique for LPBF process qualification and closed-loop control. The key is integrating ThermaViz into UTC’s AMSENSE® in situ monitoring arc ...

Made In Space, Inc. (MIS) proposes an Aulë Filament Inspection System (AFIS) to provide filament quality control capability for additive manufacturing (AM). AFIS enables the Defense Logistics Agency (DLA) to confidently support AM efforts both internal to DLA and throughout its customer base such as the Marine Corp Advanced Manufacturing Operations Cell. To create the product quality line system, ...

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 se ...

This Phase II project aims to assemble the key set of sensor modalities that are needed to reliably view the key process anomalies and properties of laser powder bed fusion. The research team will down-select from the Phase I sensors investigated and integrate the sensors into a sensor fusion software package that facilitates data collection and synchronization, and eventually feedback control of ...

This Phase II Small Business Innovation Research project develops the scale of lithium-ion direct recycling technologies applied to gain efficiencies in materials management from original manufacturing to end-of-life. The scrap materials are from Defense Logistics Agency manufacturing activities. A successful effort moves direct recycle TRL from 4 to 6, increases process throughput, qualifies mate ...

The goal of medical simulation-based training such as high-fidelity manikin simulators, part task trainers, and screen-based virtual patients, is to approximate real-life treatment experiences without risk to live patients. While the use of sensors has ma

Current methods to discern the differentiation state of stem cells are time-consuming, labor-intensive, costly, invasive, and consequently, ill-suited for clinical applications. To overcome these limitations, we propose to develop a microfluidic stem cell analyzer for accurate, non-invasive identification of the cell differentiation state in conjunction with automated cell sorting at high-throughp ...

Care for the wounded Warfighters in austere and remote settings makes medical knowledge, skills and efficiency of the military medical professional paramount. For wounds that extend deep into internal anatomy, proper visualization of internal anatomy can