Late News Poster Session: Materials Design
Program Organizers: TMS Administration
Tuesday 5:30 PM
March 21, 2023
Room: Exhibit Hall G
Location: SDCC
M-25: High Throughput Testing Apparatus to Enable Electrodeposition of Rhenium: Nathan Brown1; Michael McBride1; Courtney Clark1; Enkeleda Dervishi1; 1Los Alamos National Lab
Refractory metals exhibit desirable properties such as corrosion resistance, chemical stability, and excellent mechanical properties at elevated temperatures, all of which make these materials widely used in advanced manufacturing applications. These properties, however, provide fabrication challenges which limits their implementation in commercial products. In many applications such as thermal barrier coatings in fusion reactors or rocket engines, refractory metals are only needed on the surface of parts, opening a fabrication space where electroplating can circumvent the issues with traditional manufacturing processes. To aid in the development of electroplated refractory metals, a high throughput electrochemical testing setup was designed, allowing for 15 simultaneous electrochemical tests. This new experimentation setup was tested with gold electroplating to ensure consistent results and applied to the experimental development of rhenium plating. This first of its kind electroplating platform will drastically reduce the footprint of multiple experiments and enables agile manufacturing of coatings on demand.
M-26: Hall-Petch Effect in Crystal Plasticity: Comparing the Predictive Capability of Two Modeling Approaches: Junyan He1; Anupam Neogi1; Deepankar Pal1; Ali Najafi1; Grama Bhashyam1; 1Ansys Inc.
Crystal plasticity (CP) simulations can predict the structure-property relation of additively manufactured parts and how microstructure affects mechanical response. Changes in grain size affect the yield stress, known as the Hall-Petch effect, and can be captured in CP simulations by a uniform but grain-size-dependent initial hardness, or by a spatially nonuniform initial hardness distribution based on the distance to grain boundaries. We study the predictive capability of the two modeling approaches by comparing simulation data with experimental results. A microstructure generation and meshing code is used to generate synthetic microstructures, and material calibration is done with experimentally measured yield stress at various grain sizes. The predictive capability is tested by predicting the yield stress on different grain sizes. In addition, the effects of the two modeling approaches on the homogenized stress-strain response and the statistics of the microscopic stress distribution (e.g., mean, standard deviation, kurtosis) are studied.