This $600,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research to develop an experimental-computational framework for characterizing damage mechanisms in advanced fiber-reinforced composite materials. The primary objectives are to leverage digital image correlation and discontinuous finite element methods to reconstruct the full-field evolution of material properties and damage in mesostructured composites. This research...
This Project Grant award of $267,524 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to enable the manufacture of high-performance thermoplastic composite structures through faster and less energy-intensive processes. The research, conducted by an international team from the University of California-San Diego, Michigan Technological University, NASA, and the University of Wuppertal in Germany, aims to develop a physics-based, multiscale modeling...
This National Science Foundation (NSF) Project Grant award under CFDA 47.041 - Engineering program provides $328,133 to the University of California, San Diego (UCSD) to conduct research aimed at enabling the manufacture of high-performance thermoplastic composite structures through faster and less energy-intensive processes. The research project, which is a collaboration between UCSD, Michigan Technological University, NASA, and the University of Wuppertal in Germany, seeks to develop a...
This National Science Foundation (NSF) Engineering Research Initiation (ERI) Project Grant award, under CFDA Program 47.041 Engineering, provides $200,000 in funding to the South Dakota School of Mines & Technology to develop a computational framework for simulating failure in advanced metal-ceramic composite materials. The research aims to create an efficient, multi-fidelity simulation platform that can accurately model damage processes like particle fracture, matrix cracking, and...
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 National Science Foundation (NSF) Engineering Research Initiation (ERI) award, under the NSF Engineering program (CFDA 47.041), provides $149,999 to the University of Toledo to advance the scientific understanding of fatigue behavior in a novel additively manufactured aluminum matrix nanocomposite. The research seeks to establish a comprehensive experimental and analytical framework to evaluate the extended fatigue performance (10 million to 10 billion cycles) of the Al-Cu nanocomposite...
This National Science Foundation (NSF) Project Grant award under CFDA 47.041 Engineering provides $348,061 in funding to the CAL Poly Pomona Foundation Inc. over a 3-year period from May 1, 2025 to April 30, 2028. The objective of this project is to understand the thermomechanical fatigue behavior of semiconductor/metal interfaces under cyclic thermal and mechanical loading. The research will focus on developing an energy dissipation criterion to evaluate thermomechanical fatigue damage in these...
This Project Grant award for $313,087 from the National Science Foundation's Engineering program (CFDA 47.041) will support a collaborative research initiative at the State University of New York at Binghamton to develop a physics-informed machine learning framework for tailoring the multidirectional mechanical properties of composite materials. The research aims to create a data-driven approach to understand the relationship between material architecture and mechanical behavior, facilitating...
This $562,789 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Arizona State University aims to deepen the understanding of deformation mechanisms in axially bi-continuous graphene-nickel composites. The project will leverage new laser-based material processing and microdevice-based characterization methods to investigate the strengthening mechanisms of these graphene-metal composites, which can potentially lead to the development of...
The National Science Foundation awarded a $539,434 Project Grant to the University of Wisconsin System under the Engineering program (CFDA 47.041). The grant funds research at the University of Wisconsin-Madison on diffusion-driven degradation and failure mechanisms in architected composites from July 1, 2021 through June 30, 2026. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research. This particular award...
This $210,000 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will support the development of an experimentally verified thermodynamic framework for evaluating the fatigue performance and life of composite materials. The research aims to account for complex failure mechanisms in composites like matrix cracking, delamination, and fiber breakage through an entropy-based approach. The grant will enable in-situ thermal imaging of composite specimens under cyclic loading to quantify entropy-based measures of fatigue life. The resulting thermodynamics-based damage model will be used to predict remaining useful life and investigate internal damage mechanisms. This project is jointly funded by the NSF Divisions of Civil, Mechanical and Manufacturing Innovation and Established Program to Stimulate Competitive Research. The award supports training of the next generation workforce including graduate, undergraduate, and K-12 students, as well as industry professionals through research participation, outreach, and short course development.