2025-04-09 09:00:00
We have conducted dynamic ring expansion tests on 3D-printed AlSi10Mg porous samples utilizing both electromagnetic and mechanical testing techniques. The electromagnetic loading setup developed by Zhang and Ravi-Chandar (2006, 2008) is employed as a benchmark for evaluating and comparing the performance of the experimental…
The Laser-Induced Particle Impact Test (LIPIT) can be used to probe projectile, target, and synergistic projectile-target responses to high strain rate deformation at the microscale. LIPIT’s advantages over other microscale launching techniques include the ability to controllably launch a single microparticle and precisely characterize…
Conventional mechanical testing has significantly advanced our understanding of material behavior under various conditions. However, the mechanical characterization of materials at the intersection of small scales and high strain rates remains largely qualitative and time intensive. This research presents an advance using Laser Induced…
High strain rate nanomechanical testing has the potential to expand the frontiers of materials science with high-throughput investigations of dynamic nanoscale mechanical phenomena at strain rates commensurate with those in the ballistic range. Recent advances in electronics have ushered in an exciting new era…
The underlying mechanisms associated with dynamical failure are not fully understood, this is particularly true regarding the plastic deformation around the nucleation and growth of porosity that eventually leads to failure. We used large-scale non-equilibrium molecular dynamics simulations to investigate the shock loading and…
Understanding the damage and failure of structural materials under extreme mechanical loads such as hypervelocity impact, which combines high strain rates, tri-axial stress, and temperature, is important for a range of applications including space exploration and defense. Niobium (Nb) is a BCC transition metal…
Refractory alloys are promising for high-temperature applications because of their high strength at elevated temperatures, high thermal conductivity, and low thermal expansion coefficients. One hundred twenty-five refractory high entropy alloys (RHEAs) have been designed to exhibit a single BCC phase at elevated temperatures, target…
Stress field prediction is typically provided by means of Finite Element Analysis (FEA) which can become computationally prohibitive considering complex material behavior. Such a limitation is especially important within the context of structure–property exploration and inverse design for materials discovery where a larger number…
Designing materials using a combinatorial approach to achieve desired mechanical properties requires multiple iterations. The cost of conducting experiments for each iteration to determine the material properties can be prohibitively high. One alternative is to use computational models, but running high-fidelity physics-based simulations can…
A bottleneck in high-throughput nanomaterials discovery is the pace at which new materials can be structurally characterized. Although current machine learning (ML) methods show promise for the automated processing of electron diffraction patterns (DPs), they fail in high-throughput experiments where DPs are collected from…
