Cooperative Agreement 70NANB18H260

This STTR Phase I grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program supports the development of a compact, multi-wavelength interferometric system for real-time, in-situ metrology in high-precision optical manufacturing. The $274,524 project aims to deliver a market-ready, on-machine metrology system that can improve efficiency and accuracy in diamond tool alignment, surface metrology, and overall manufacturing throughput by...

This Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), supports research to develop methodologies for monitoring and improving personalized manufacturing processes, particularly for one-of-a-kind parts produced using additive manufacturing. The award, totaling $129,624 and spanning from June 1, 2024, to May 31, 2027, will enable researchers at the University of Oklahoma to establish a novel latent space monitoring approach based on...

This Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation, under the Engineering program (CFDA 47.041), provides $481,998 to support research at the University of California, Berkeley on developing a new additive manufacturing process for multi-material and multi-functional part fabrication. The principal investigator will conduct fundamental research into a charge-programmed additive microfabrication technique to rapidly pattern...

This SBIR Phase I award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $304,972 to Particle4X, Inc. to develop a real-time, inline sensor system that integrates digital inline holography and deep learning to detect particulate matter and microbial contaminants during injectable drug manufacturing. The system aims to enable continuous quality monitoring, supporting the industry's shift from batch to continuous manufacturing. Key...

This $963,000 Project Grant award from the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617) aims to complete the development of the OMEP Standard Work Viewer 2.0 with augmented reality technology. The goal is to empower small-to-medium manufacturers in Oregon by addressing workforce challenges through innovative digital solutions. The activities to be performed include customizing and implementing the augmented reality...

Techsolve, Inc. was awarded a $100,000 cooperative agreement from the Department of Commerce National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards program. The award will support the development of a procedure for generating hybrid numeric and text data for physics-based failure prognostics and health management (PHM) technology development and evaluation from October 1, 2021 to June 30, 2023. The hybrid data generation procedure...

This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award provides $688,574 to The Pennsylvania State University (Penn State) to advance the individualization capabilities of manufacturing systems. The key objectives are to (1) understand and encode the relationship between product specifications, manufacturing capabilities, and production plans into "intelligent products" that can adapt to customer requirements while ensuring a reliable and safe...

This $1,235,863 cooperative agreement awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an AI-driven system to automate part identification and measurement on coordinate measuring machines (CMMs). The project aims to transform manufacturing inspection processes by reducing manual intervention, minimizing errors, and increasing throughput. This innovation has the potential to lower manufacturing...

This Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation aims to develop data-driven methodologies for efficient monitoring and operation of multistage manufacturing systems. The $300,442 award to the University of Wisconsin System will establish an integrated mathematical framework to model the spatial interactions between machines and the temporal degradation of each machine in a multistage manufacturing process. The...

This $379,054 project grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) to Texas A&M Engineering Experiment Station (Tees) will establish new via metrology and inspection technology for advanced wafer-level packaging in the semiconductor industry. The research aims to develop rapid modeling methodologies and experimental/computational calibration methods to characterize via geometry, optical properties, and defectivity. Key innovations include a via-edge...