This Project Grant award from the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) provides $240,000 for the University of Connecticut to develop a new product design platform that enables concurrent consideration of product design and remanufacturing processes. The 3-year research effort aims to: (1) quantify and allocate remanufacturing resilience, (2) formulate remanufacturing co-design methodologies for improved reparability, and (3) develop new design...
The National Science Foundation (NSF) awarded a $250,068 Project Grant under its Engineering program (CFDA 47.041) to the University of Illinois for the project "Collaborative Research: Concurrent Design Integration of Products and Remanufacturing Processes for Sustainability and Life Cycle Resilience". This 3-year research project aims to develop a new product design platform that concurrently considers the design of multi-life cycle products and their remanufacturing processes....
This Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) (CFDA #47.041 - Engineering) provides $499,500 to the University of Connecticut for research to establish a universal theoretical and computational framework to improve the flow of 3D geometric information from engineering design into analysis and manufacturing. The framework aims to eliminate inefficiencies in 3D shape modeling and processing throughout the...
This $230,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at the University of Connecticut to develop a novel computational paradigm called "SMART-RECOVER" that can assure part performance in digital manufacturing systems despite cyberphysical attacks. The key products and services to be delivered under this 3-year award include:
Techniques for pre-fabrication computational reconstruction of attack-altered...
The National Science Foundation awarded a $200,000 Project Grant to Florida Institute of Technology Inc. under the Engineering program (CFDA 47.041) to investigate new approaches for concurrently considering manufacturing processes in the early stages of materials and product design. Specifically, the two-year award will support the development of a novel systems-based framework for the inverse co-design of materials, products, and manufacturing processes in terms of robust decisions made...
The University of Connecticut was awarded a $499,950 project grant from the National Science Foundation Social, Behavioral and Economic Sciences Directorate under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075).
The grant will support research from January 2022 through December 2023 on resilient and reliable cyber-physical-human-machine teams toward the future of cybermanufacturing. The University of Connecticut project aims to contribute to scientific...
The National Science Foundation awarded a $346,983 Project Grant to the University of Connecticut (UConn) under the NSF's Engineering program (CFDA 47.041) to develop scalable deterministic global optimization (DGO) algorithms and open-source software. The project aims to enable the solution of higher complexity models involving nonlinear equations by exploiting parallel computing architectures like graphical processing units (GPUs). The research will generate methods for automatically...
The National Science Foundation (NSF) awarded a $183,420 Project Grant under the Engineering program (CFDA 47.041) to the University of Texas at Arlington (UTA) Office of Research Administration Division. The grant will fund a collaborative research project to develop an integrated materials-manufacturing-controls framework for enhancing the efficiency and resilience of manufacturing systems. Key objectives include: 1) quantifying the effects of raw ingredients on feedstock properties, 2)...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $207,158 Project Grant titled "COLLABORATIVE RESEARCH: FUSION OF SILOED DATA FOR MULTISTAGE MANUFACTURING SYSTEMS: INTEGRATIVE PRODUCT QUALITY AND MACHINE HEALTH MANAGEMENT" to The University of Iowa. This 3-year grant, which commenced on January 1, 2024, supports the development of data-driven methodologies to monitor and optimize multistage manufacturing systems through the...
The National Science Foundation awarded a $823,480 project grant to the University of Connecticut under the Engineering program (CFDA 47.041) for work titled "CAREER: BRIDGING THE GAP BETWEEN DETERMINISTIC AND STOCHASTIC STRUCTURES FOR MIXED STOCHASTICITY SYSTEM DESIGN." This five-year award beginning January 1, 2022 will support research to improve techniques for designing systems with both deterministic and stochastic components. The Engineering program aims to foster innovation...
The University of Connecticut has been awarded a $500,000 Project Grant from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to conduct research focused on "Interoperable Knowledge Representation and Distillation for Integrated Process Planning in Hybrid Remanufacturing." The project aims to establish a framework for concurrent optimization of hybrid remanufacturing systems that integrate additive manufacturing and machining technologies. Key technical thrusts include: 1) creating cognitive encoders to unify multi-modal remanufacturing data into knowledge graphs, 2) advancing knowledge fusion through data-driven reasoning and online discovery, and 3) developing symbiotic multi-objective optimization leveraging the knowledge graph. This research is expected to lead to computational models, automation, and decision-making algorithms to facilitate system-level integration of additive and subtractive manufacturing processes. The project will be conducted from January 1, 2025 to December 31, 2027 and involves collaboration with two industry partners to validate the research findings.