This $249,999 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) aims to establish a physics-informed machine learning (PIML) framework to enable accurate and transparent predictions of fatigue life and its variation for metal additive manufacturing (AM) components. The project will fabricate baseline fatigue samples of SS316L and Ti-6Al-4V alloys produced via laser powder bed fusion (LPBF) AM and post-processing, characterize their...
This $359,990 project grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at Rutgers, The State University to establish a physics-informed machine learning (PIML) framework that can accurately predict the fatigue life and scattering behavior of metal components produced through laser powder bed fusion (LPBF) additive manufacturing (AM) processes. The key objectives are to: 1) characterize the quality and fatigue properties of...
Auburn University received a $500,000 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The award will support fundamental research over five years from April 2023 to March 2028 to understand the effects of laser powder-bed fusion additive manufacturing processing on defects and subsequent fatigue behavior of complex metal parts subjected to multiaxial loading. The research...
Purdue University received a $452,928 project grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation to develop hierarchical design and additive manufacturing techniques for metallic programmable metamaterials. The goal of the research is to apply laser powder bed fusion to fabricate metallic programmable mechanical metamaterials and understand the influence of hierarchical design and additive manufacturing processes on microstructures,...
The National Science Foundation awarded Purdue University $509,958 under the Engineering (47.041) federal grant program for a project titled "CAREER: INVERSE MECHANICS IN SELF-SENSING MATERIALS: BASIC KNOWLEDGE, EDUCATION, AND SERVICE." Purdue will conduct research from August 15, 2023 to July 31, 2028 to advance the understanding of inverting electro-mechanical coupling in self-sensing materials. This work intends to enable quantitative full-field mechanics imaging through simple...
Florida Polytechnic University received a $148,885 project grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. The award is part of the NSF Engineering program (CFDA 47.041) to support research titled "Deformation Mechanisms Governing Torsional Fatigue Failure of Additively Manufactured Metals at High Temperatures" from September 1, 2021 through August 31, 2023. The project aims to advance understanding of deformation and...
This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $219,900.00 to Purdue University to acquire an advanced metal additive manufacturing (AM) system. The system will support interdisciplinary research to advance knowledge in metal AM, contributing to scientific progress and enhancing national economic prosperity. Key focus areas include developing advanced qualification and certification methods to enhance the reliability...
The National Science Foundation (NSF) awarded a $414,655 Project Grant under the Engineering program (CFDA 47.041) to Purdue University. The project aims to address emerging challenges in the field of materials and computing, specifically focusing on heterogeneous integration (HI) in packaging (HIP). The key objectives are to develop rapid 3D metrology techniques and incorporate machine learning to accelerate the detection of fabrication defects, thereby advancing the development of...
Purdue University was awarded a three-year Project Grant totaling $386,562 by the National Science Foundation under the Engineering (47.041) federal grant program. The award will support the development of multiscale computational modeling methods for simulating flow-induced mechanical deformation using nonlocal continuum formulations. Purdue researchers will construct tractable one-dimensional models coupling nonlocal mechanical response to fluid flow, and develop three-dimensional solvers...
This National Science Foundation (NSF) Project Grant award through the Engineering program (CFDA 47.041) will support research to develop a physics-constrained artificial intelligence (PCAI) framework for real-time control and optimization of additive manufactured (AM) metal components. The $262,929 award to the University of Maryland, College Park will establish an in-situ processing data-driven approach to effectively link manufacturing processes to environmentally-related performance for...