Cooperative Agreement 70NANB23H267
- This Project Grant award from the National Science Foundation (NSF), under the Engineering program (CFDA 47.041), provides $649,345 to Carnegie Mellon University to investigate an innovative power field control strategy to achieve prescribed thermal histories throughout parts produced via powder bed fusion additive manufacturing. The research aims to enable the design of novel processing pathways to tailor material properties, fully utilizing the processing capabilities of open-architecture...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research project focused on developing intelligent scan sequence generation to reduce local overheating, distortion, and residual stress in laser powder bed fusion (LPBF) additive manufacturing. The $250,000 award, spanning January 1, 2025 to December 31, 2027, will enable researchers at the University of Pittsburgh to mathematically, numerically, and experimentally...
- This National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant, awarded to the Regents of the University of Michigan, supports a $496,138 collaborative research effort to develop an approach for optimally determining laser scan sequences in laser powder bed fusion (LPBF) additive manufacturing. The goal is to create knowledge that enables 3D printing of complex metallic parts with fewer failed or defective prints, thereby improving the economic viability of LPBF. The...
- This Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation, under the Engineering program (CFDA 47.041), provides $598,148 to the University of California, San Diego for the period of January 1, 2023 through December 31, 2025. The award will support the development of new analytical frameworks to improve control of metal additive manufacturing processes through theoretical and experimental investigations. Specifically, the university...
- This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program award to the Illinois Institute of Technology (IIT) provides $618,137 to fund research aimed at advancing laser powder bed fusion additive manufacturing by addressing the limitations of current practices that primarily use expensive, energy-intensive spherical metal powders. The key objectives are to: 1) enhance powder-spreading dynamics through multimodal particle sizes and a hybrid powder dispenser, and 2)...
- This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $300,000 to Clemson University to advance the capability of metal additive manufacturing (AM) technologies in developing radiation-tolerant single-phase concentrated solid-solution alloys (SP-CSAS). The research aims to generate new knowledge on SP-CSAS' radiation tolerance and their intrinsic compositions, structures, and defects through experimental and computational...
- Summary Arizona State University (ASU), through its Office of Research and Sponsored Projects Administration, received a $350,000 Project Grant award from the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041, Engineering) effective August 1, 2026, through July 31, 2029. This award funds fundamental research investigating the effects of annealing heat treatment on additively manufactured (AM) metal matrix composites (MMCs)—engineered...
- This National Science Foundation (NSF) GOALI (Grant Opportunities for Academic Liaison with Industry) project grant, awarded under the Engineering program (CFDA 47.041), aims to develop uncertainty-aware modeling and control strategies for the microscale selective laser sintering (?-SLS) additive manufacturing process. The $609,991 award, effective September 1, 2024 through August 31, 2027, will enable researchers at the University of Texas at Austin to: Develop physics-based models with...
- This National Science Foundation (NSF) Project Grant award, under the Engineering program (CFDA 47.041), provides $650,000 in funding to Carnegie Mellon University (CMU) from June 1, 2024 to May 31, 2027. The project aims to fully understand the mechanisms controlling shape distortion in additive manufacturing (AM) processes, particularly during the sintering of nano/microparticles. The research involves integrated experimental and theoretical work to identify critical AM process parameters that...
- This $155,000 Project Grant from the National Science Foundation (NSF) Office of Integrative Activities (CFDA 47.083) supports fundamental research at Iowa State University to understand how nanoparticle self-assembly can be integrated into laser/powder-based additive manufacturing (AM) of multimodal metallic materials. The overall goal is to gain a deeper understanding of the mechanisms governing nanoparticle self-assembly behavior, microstructure evolution, and property enhancements in AM of...
PURPOSE: THE PURPOSE OF THIS GRANT IS TO IMPROVE ADDITIVE MANUFACTURING PROCESSES BY SYNTHESIZING LASER POWDER BED FUSION ADDITIVE MANUFACTURING SCAN PLANNING WITH TARGETED THERMALLY-INDUCED PART PROPERTY DEVELOPMENT.ACTIVITIES TO BE PERFORMED: ACTIVITIES WILL INCLUDE GENERATING NEW SCAN PATTERNS THAT ACHIEVE TARGETED THERMALLY-INDUCED PROPERTIES. THE APPLICANTS WILL THEN QUANTIFY THE ACCURACY OF THE REDUCED-ORDER MODELS FOR SCAN PATTERNS. SUCH MODELS CAN SERVE AS DESCRIPTORS OF THE PART PROPERTIES AND ARE NECESSARY TO USE CUSTOM PATTERNS FOR THE GENERATION OF PROCESS PLANS AT THE PART SCALE. THIS ACTIVITY FOCUSES ON CONSTRUCTING THE FUNDAMENTAL CORRELATIONS BETWEEN DESIGN, MATERIAL, AND PROCESS PRIMITIVES. THE PROJECT WILL FORMULATE AND VALIDATE A MULTI-SCALE APPROACH FOR PREDICTING PATH-TO-PART SCALE THERMALLY-INDUCED PROPERTIES IN TERMS OF REDUCED-ORDER MODELS CONSTRUCTED IN THE PREVIOUS ACTIVITY. FINALLY, THE APPLICANTS WILL DEMONSTRATE THE ABILITY TO GENERATE ISLAND SCAN PATTERNS THAT CAN CONTROL THERMALLY-INDUCED PROPERTIES.EXPECTED OUTCOMES: IN THE FIRST YEAR OF THE PROJECT, THE RESEARCH WILL RESULT IN NEW SCAN PATTERNS THAT ACHIEVE TARGETED THERMALLY-INDUCED PROPERTIES AND QUANTIFY THE ACCURACY OF THE REDUCED-ORDER MODELS FOR ISLAND SCAN PATTERNS. IN THE SECOND YEAR OF THE PROJECT, THE RESEARCH WILL RESULT IN A VALIDATED APPROACH FOR PREDICTING PATH-TO-PART SCALE THERMALLY-INDUCED PROPERTIES, DESIGNING ISLAND SCAN PATTERNS TO IMPROVE THERMALLY-INDUCED PROPERTIES, AND DETERMINING THE FEASIBILITY OF CONTROLLING SOLIDIFICATION SEQUENCES.INTENDED BENEFICIARIES: U.S. MANUFACTURERS AND SOLUTION PROVIDERS WILL BENEFIT FROM AN IMPROVED KNOWLEDGE BASE FOR ADDITIVE MANUFACTURING. RESEARCHERS WILL BENEFIT FROM ACCESS TO DATA SETS AND NEW ALGORITHMS FOR AM SCANNING. TARGETING THERMAL HISTORY AND THERMALLY-INDUCED PROPERTIES IN TOOL PATH DESIGN IS CRITICAL TO PRODUCING HIGH-QUALITY, HIGH-PERFORMANCE PARTS. THE PROPOSED RESEARCH IS SYNERGISTIC WITH THE ONGOING NIST EFFORTS IN MEASUREMENT SCIENCE FOR ADDITIVE MANUFACTURING AND DATA-DRIVEN DECISION SUPPORT FOR ADDITIVE MANUFACTURING.SUBRECIPIENT ACTIVITIES: THE PROPOSAL DOES NOT INCLUDE SUB-AWARDS.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $97.5k | 11/22/24 | ||
| Not listed | $32.5k | 9/18/24 | ||
| Not listed | $32.5k | 9/18/24 | ||
| Not listed | $120.0k | 9/7/23 |