Engineering topics
Heckman, Nathan
Publications and source records attributed to Heckman, Nathan.
Regional Mechanical Performance and the Effects of Surface Defects in AM Al-10Si-Mg.
Abstract not provided.
The Influence of Regional Mechanics and Surface Defects on AM Al-Si10-Mg.
Abstract not provided.
Informing Mechanical Modeling of Additively Manufactured Al-Si10-Mg Through In Situ Computed Tomography.
Abstract not provided.
Fatigue-crack Healing in Pure Nanocrystalline Pt Enabled by Boundary Evolution.
Abstract not provided.
Chemical gradients to control stability and mechanical behavior in nanostructured Pt-Au.
Abstract not provided.
Exploring Nanoscale Fatigue through Coupled In-situ Microscopy and Modeling.
Abstract not provided.
Informing Mechanical Modeling of Additively Manufactured Al-Si10-Mg Through In Situ Computed Tomography.
Abstract not provided.
High-Cycle Fatigue In Situ in the Transmission Electron Microscope.
Abstract not provided.
Topological damping materials and methods thereof
The present invention features a metamaterial including a plurality of unit cells, in which each unit cell includes two interacting members to dissipate energy. Also provided herein are assemblies including such metamaterials and methods of manufacture.
Modeling strength and failure variability due to porosity in additively manufactured metals
To model and quantify the variability in plasticity and failure of additively manufactured metals due to imperfections in their microstructure, we have developed uncertainty quantification methodology based on pseudo marginal likelihood and embedded variability techniques. We account for both the porosity resolvable in computed tomography scans of the initial material and the sub-threshold distribution of voids through a physically motivated model. Calibration of the model indicates that the sub-threshold population of defects dominates the yield and failure response. Finally, the technique also allows us to quantify the distribution of material parameters connected to microstructural variability created by the manufacturing process, and, thereby, make assessments of material quality and process control.
Exploring the Extremes via In-Situ Scanning Electron Microscopy.
Abstract not provided.