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![image description in caption](/sites/default/files/styles/person_thumbnail/public/2023-11/img_4694_crop.jpg?itok=T4WeEP9z)
Residual Stress Model Validation of Cold Hole Expansion in an Aerospace Aluminum Alloy
Recent measurements at the Cornell High Energy Synchrotron Source (CHESS) produced data to validate a cold hole expansion (CHE) process simulation model as part of the United States Air Force (USAF) Enhanced Life Management by Engineered Residual Stress (ELMERS) program. The results quantify through-thickness residual stresses that will enable the USAF, and ultimately the taxpayer, to save money through more effective use of aerospace components.
![Image of two people posing at a CHESS beamline](/sites/default/files/styles/person_thumbnail/public/2022-11/onr_kate_kelly_nonsf.jpg?itok=Lmr1lsPf)
Turning Heroic Efforts Into Everyday Experiments
Driven by the insights from 3D data acquired in real-time, the creation of new characterization methods for structural metals has seen explosive growth over the past two decades. Using high-energy X-rays and new generations of detectors, like those available at CHESS, scientists can now extract higher-resolution information over larger volumes of material at rates that were only a dream several years ago
![abstract green and blue image](/sites/default/files/styles/person_thumbnail/public/2022-02/fig2crop.jpg?itok=4PDPs9kU)
Analysis of a three-dimensional slip field in a hexagonal Ti alloy from in-situ high-energy X-ray diffraction microscopy data
For the first time, a microscale plastic strain field (also known as crystallographic slip) has been non-destructively reconstructed in 3D in a deforming alloy.
![Image of a group of four researchers in a lab.](/sites/default/files/styles/person_thumbnail/public/2021-12/1220_sara_0.jpeg?itok=J9hOq0yt)
AI powers autonomous materials discovery
SARA (the Scientific Autonomous Reasoning Agent) integrates robotic materials synthesis and characterization, along with a hierarchy of artificial intelligence and active learning methods, to efficiently reveal the structure of complex processing phase diagrams, making materials discovery vastly quicker.
![Image of researchers at the Functional Materials Beamline](/sites/default/files/styles/person_thumbnail/public/2021-11/afrl_at_fmb.jpeg?itok=g4Q0KCnA)
In situ SAXS/WAXS mapping of thermoplastic crystallization during 3D printing
AFRL and Boeing collaborate with CHESS to enable real-time measurements of high performance thermoplastics in 3D printing composites processing.
![Group of summer students 2021](/sites/default/files/styles/person_thumbnail/public/2021-08/2021_summer_student_group_web.jpg?itok=3CaLw4fY)
Summer Students: Live and In-Person
CHESS Summer students came together last month for their first - and only - in-person meeting of the summer. The group of students have been working remotely with their mentors since the start of the program on June 6th due to Covid-safety precautions.
![laser annealing setup with detector](/sites/default/files/styles/person_thumbnail/public/2021-04/microsoftteams-image_2.png?itok=giStd_OH)
Autonomous materials development using in situ laser annealing and scan-probe, grazing incident x-ray microdiffraction.
During the 2021-1 run cycle at the FMB-beamline of MSN-C, an interdisciplinary group of researchers based at Cornell University demonstrated the first use of an AI-directed, fully-automated process for thin-film metastable materials exploration.
![High-stress steel microstructure](/sites/default/files/styles/person_thumbnail/public/2021-03/composite.jpg?itok=Ekqe_vTM)
Quantifying Through-Thickness Residual Stresses from Forming of Wrought Steel Armor Plate
A recent effort has verified the capability of MSN-C to characterize Department of Defense-relevant parts with typical thicknesses, bend, and welded features. The results provide a baseline for further research by the DOD and industry partners to improve forming and welding processes.