In an effort to better understand how materials deform under extreme conditions, researchers at Lawrence Livermore National Laboratory (LLNL) have developed a new experimental method for probing large-strain and high-rate material strength.
In a paper recently published in Acta Materialia, Jonathan Lind, LLNL physicist and lead author, said results of the work aid in providing updated strength information that can be used in simulation codes. Co-authors of the paper include Matthew Nelms, Andrew Robinson, Mukul Kumar and Nathan Barton.
“This study demonstrated that the method can observe differences in mechanical behavior due to the way a material was manufactured and processed prior to the experiment,” Lind said. “The work provides updated strength model parameters that more reliably capture the high strain-rate, large plastic strain behavior of copper.”
Researchers also observed that a material’s prior processing history influences its high strain-rate behavior. With demonstration of efficacy of the approach, Lind and his colleagues are now planning and conducting experiments on five other materials.
Lind said the National Nuclear Security Administration (NNSA) mission needs require the Lab to understand materials under extreme conditions, including under combined large-strain and high-rate conditions that are challenging to access in well-controlled and diagnosed experiments. This mission is carried out through NNSA’s Stockpile Stewardship Program, which utilizes materials research and physics modeling and simulation codes to accurately model nuclear weapons performance.
“Novel experiments that provide information on the behavior of materials under these extreme environments allow for comparisons with existing models, comparisons across manufacturing processes, and direct observation of phenomenology not currently captured in models,” he said.
Many models of large-strain mechanical response (strength) of materials have phenomenal aspects that are calibrated to the observed behavior of materials. These models are constrained in regimes where experimental data exists. Certainty/reliability/confidence in these models diminishes where models are unchecked, such as at high strain-rates and large plastic strains where data are currently lacking.
Team conducts work at Argonne National Laboratory
Lind and his team conducted the work by drilling a small hole into a chunk of material. Plate-impact was performed on the sample to subject it to a controlled mechanical impulse — the passage of a shock that produces stresses in the material — while the hole is imaged over longer time scales than those in traditional one-dimensional plate impact experiments.
In the setup at the Dynamic Compression Sector at Advanced Photon Source at Argonne National Laboratory high-speed parallel beam X-ray radiography was used to image the hole and to monitor its shape change.
“The experimental imaging data is directly compared with hydrocode simulations, and we can examine the predictions associated with various strength models,” Lind said, adding that the discrepancy between experiment and calculations can be ascribed to inadequacies in the strength models and provide a path toward model modification to bring the models into better agreement.
Lind said this is a topic of ongoing investigation. “While one-dimensional experiments probing high-rate material behavior provide valuable data about material response, they are limited in the conditions that they can access,” he said.
The research complements other work, such as the Rayleigh-Taylor instability strength platform that is now used at the National Ignition Facility and other facilities, to probe two-dimensional deformation conditions that can produce large strains.
“While this capability was demonstrated at the Dynamic Compression Sector, now that the concept has been demonstrated it will be possible to field similar experiments at other facilities,” Lind said. “This opens up the possibility to explore and test the behavior of other materials under these extreme conditions, enabling opportunities to collaborate with colleagues at the DoD (Department of Defense) and academic institutions.”
padilla37 [at] llnl.gov