The National Science Foundation (NSF) awarded a $1,149,379 Project Grant through the Mathematical and Physical Sciences program (CFDA 47.049) to the University of California, Santa Barbara (UCSB) to develop methods and materials for additive manufacturing that enable 3D printing of multi-material objects. The key research objectives are: 1) developing multi-material digital light processing (DLP) resins using machine learning to create patterns with extreme mechanical contrast, 2) creating a...
The National Science Foundation (NSF) Division of Materials Research awarded a $262,500 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia Tech Research Corporation (Georgia Tech) for the "DMREF/Collaborative Research: Active Learning-based Material Discovery for 3D Printed Solids with Locally-Tunable Electrical and Mechanical Properties" project. This multi-disciplinary effort aims to establish an active learning approach to rapidly...
This $404,595 National Science Foundation (NSF) Engineering program grant, awarded to the University of Delaware on March 1, 2024, supports research to enhance multi-material additive manufacturing (3D printing) through the use of advective assembly techniques. The project aims to develop modular 3D printing nozzles capable of rapidly structuring and depositing multi-material composites at higher resolution and volumetric throughput than conventional methods. This could enable new applications...
This National Science Foundation (NSF) Project Grant award, funded under the NSF Engineering program (CFDA 47.041), provides $1,100,000 to Southern University and A&M College (SUBR) to acquire an advanced laser powder bed fusion 3D printer for multi-material additive manufacturing research and education. The project aims to enhance engineering research and workforce development, particularly among underrepresented groups, through hands-on experience with this cutting-edge additive...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports fundamental research on "digital alloying" - a manufacturing process that uses metal precursor inks and additive manufacturing to fabricate metal alloy parts with controlled composition and microstructure. The $200,000 award to New Mexico State University (NMSU) aims to develop an understanding of how the digital printing of multi-metal precursor inks affects the...
This $250,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research effort led by the University of Pittsburgh. The objective is to mathematically, numerically, and experimentally uncover the relationships between optimal scan sequences, temperature distribution, distortion, and residual stress in laser powder bed fusion additive manufacturing. The research aims to develop models and methods to enable 3D printing of...
This National Science Foundation Project Grant award of $231,806 provides funding from April 1, 2023 through March 31, 2025 to the University of Nevada, Reno under the Integrative Activities program (CFDA 47.083). The award will support research exploring microstructure evolution in stimuli-responsive yield-stress fluids for assisted 3D printing applications. Specifically, the university will characterize static microstructure models in a Pluronic F127-nanoclay nanocomposite and explore...
This $647,188 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports fundamental research to enable additive manufacturing of high-performance polymer composite materials. The principal investigator at Arizona State University will develop a new composite manufacturing platform that uses in-situ thermal polymerization to rapidly print and rigidize composite structures without the need for molds. Key objectives include elucidating the relationships...
This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will enable Iowa State University of Science and Technology to develop new materials and manufacturing methods for 3D printing multi-material objects with varying mechanical properties. The key objectives are to use machine learning to create resins enabling extreme mechanical contrast, develop a multi-material 3D printing process using photoswitches, and...
The National Science Foundation awarded a $567,121 Project Grant to Michigan State University under the Engineering (47.041) federal grant program. The grant funds fundamental research to develop a new metal additive manufacturing process using light projection of mixtures of photopolymer and metal powder. Rather than point-by-point printing, the proposed process would use digital light projection to cure an entire layer of photopolymer mixed with metal powder. This could enable high-speed...