This $119,466 federal Project Grant awarded by the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041) supports research to develop a novel robotic system for the high-precision disassembly of discarded electronics like cell phones, tablets, and laptops. The project aims to advance 3D sensing, deep learning, robotic hand design, and high-precision manipulation capabilities to enable an adaptable robotic...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $2,497,403 to the Rochester Institute of Technology (RIT) aims to advance metal additive manufacturing technology. The key focus is developing a multi-nozzle molten metal jetting process that can use both new and recycled metal feedstock materials to produce high-quality metal components at competitive costs and speeds compared to traditional manufacturing methods. The research project seeks to...
This $230,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Connecticut focused on creating a novel computational paradigm called "SMART-RECOVER" to establish resilience against stealthy cyberphysical attacks on digital manufacturing systems. The key research objectives include: (1) pre-fabrication reconstruction of digital geometric models altered by attacks, (2) in-process remodification of...
This $240,000 Project Grant award from the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation supports research to develop a computational paradigm called "SMART-RECOVER" that will ensure part performance in digital manufacturing systems despite cyberphysical attacks. The research objectives include techniques for: (1) pre-fabrication reconstruction of attack-altered geometric models, (2) in-process remodification of process plans to disrupt...
This Project Grant award, valued at $500,000.00, was provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to the University of Connecticut (UConn). The project, titled "Interoperable Knowledge Representation and Distillation for Integrated Process Planning in Hybrid Remanufacturing," focuses on establishing a coherent learn-from-knowledge paradigm to achieve concurrent optimization in hybrid remanufacturing. This involves integrating data from various...
This $391,345 Project Grant awarded by the National Science Foundation (NSF) Engineering program supports research at Stanford University to develop optically recyclable polymer resins for sustainable additive manufacturing. The project aims to engineer reversible photochemical mechanisms and nanoparticle-based light delivery systems that would allow 3D-printed materials to be optically "erased" and reused over multiple cycles, transitioning from a linear...
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 provides $359,998 to support research titled "DMREF/COLLABORATIVE RESEARCH: INTEGRATED MATERIAL DESIGN AND PROCESSING--APPLICATION TO RECYCLED PLASTICS." The funding period is from December 1, 2021 through November 30, 2025. The award supports research under the NSF Engineering program (CFDA 47.041), which aims to improve engineering innovation and excellence....
The National Science Foundation (NSF) awarded a $131,914 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Wyoming to develop a novel, sustainable method for recycling metals from electronic waste (e-waste). The project, titled "COLLABORATIVE RESEARCH: CAS-SC: INVESTIGATING THE MILD LIGAND-BASED OXIDATIVE DISSOLUTION OF E-WASTE METALS AND THEIR REDUCTIVE RECOVERY," is led by professors from the University of Idaho and the University...
The National Science Foundation awarded a $100,000 Project Grant under the NSF Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to The Research Foundation For The State University Of New York. The award period is from June 15, 2022 to May 31, 2023 to support development of an Intelligent Re-Design Recommender System for Additive and Hybrid Manufacturing in Buffalo, New York. Specifically, the grant funds development of a novel, automated assessment and re-design...
This Project Grant award, funded by the National Science Foundation's Engineering program (CFDA 47.041), provides $2,999,999 to Clarkson University to research and develop novel cyber technologies to enable "recyclofacturing" - the custom manufacturing of products using scrap or consumer materials at metal recycling facilities. The key products and services to be delivered include:
Advancing artificial intelligence to automate the generation of computer-aided design models from user product specifications, including text, images, and sketches, and assessing scrap metal sheets for optimized model decomposition.
Developing extended reality work guidance systems to provide expert recommendations and next step instructions to human workers during the product build process.
Enabling human-robot collaboration for product assembly by dynamically allocating tasks based on worker load, preferences, activity, and ergonomic risk.
The project aims to transform traditional metal recycling facilities into agile manufacturers by upskilling workers on these novel cyber technologies, helping to keep manufacturing in the U.S. This award reflects NSF's mission to advance scientific knowledge and develop innovative technologies that address national challenges. The project period runs from June 1, 2025 to May 31, 2029.