Working with CUBIT's Machine Learning Tools
Abstract not provided.
Publications
Machine Learning Applications for Defeaturing and Model Preparation
Abstract not provided.
Advancements in Overlay-Grid-Based Hex Meshing from Noisy 3D Image Data
Abstract not provided.
CAD Defeaturing with Machine Learning (Powerpoint Presentation)
Abstract not provided.
CAD Defeaturing using Machine Learning
Abstract not provided.
SNL Data and Visualization: ML Projects at Sandia
Abstract not provided.
Machine Learning-based CAD Defeaturing for Tetrahedral Mesh Generation
Abstract not provided.
Defeaturing using Machine Learning
Abstract not provided.
Automated Simulation Model Preparation with Machine Learning
Abstract not provided.
Interface-conformal Hex Meshing Techniques and Mesh Sensitivities in Crystal Plasticity Finite Element Simulations
Abstract not provided.
Predicting Micro-Scale Deformations During High-Rate Loading of Additively Manufactured Materials
Abstract not provided.
Geometry and Mesh Generation for Representative Volume Elements in Computational Materials Modeling
Abstract not provided.
Hex Mesh Generation for Computational Materials Modeling
Abstract not provided.
Direct Numerical Simulations of Microstructure Effects during High-Rate Loading of Thermally Sprayed Ta
Abstract not provided.
Developing Physically-based Three Dimensional Polycrystalline Microstructures
Abstract not provided.
Hexahedral Mesh Generation for 3D Computational Materials Modeling
Abstract not provided.
NNSA/CEA Mesh Generation Collaboration
Abstract not provided.
A template-based approach for parallel hexahedral two-refinement
CAD Computer Aided Design
We provide a template-based approach for generating locally refined all-hex meshes. We focus specifically on refinement of initially structured grids utilizing a 2-refinement approach where uniformly refined hexes are subdivided into eight child elements. The refinement algorithm consists of identifying marked nodes that are used as the basis for a set of four simple refinement templates. The target application for 2-refinement is a parallel grid-based all-hex meshing tool for high performance computing in a distributed environment. The result is a parallel consistent locally refined mesh requiring minimal communication and where minimum mesh quality is greater than scaled Jacobian 0.3 prior to smoothing.
Advances in Grid-Based All-Hex Mesh Generation for High Performance Computing
Abstract not provided.
Volume preservation improvement for interface reconstruction hexahedral methods
Procedia Engineering
We propose a new post-processing procedure for automatically adjusting node locations of an all-hex mesh to better match the volume of a reference geometry. Hexahedral meshes generated via an overlay grid procedure, where a precise reference geometry representation is unknown or is impractical to use, do not provide for precise volumetric preservation. A discrete volume fraction representation of the reference geometry MI on an overlay grid is compared with a volume fraction representation of a 3D finite element mesh MO. This work proposes a procedure that uses the localized discrepancy between MI and MO to drive node relocation operations to more accurately match a reference geometry. We demonstrate this procedure on a wide range of hexahedral meshes generated with the Sculpt code and show improved volumetric preservation while still maintaining acceptable mesh quality.
Parallel Hexahedral Mesh Generation for White House Geometry with SCULPT
Abstract not provided.
Adaptive Grid-based Hex Meshing for High Performance Computing
Abstract not provided.
Advances in Mesh Generation for Crystal Plasticity Modeling
Abstract not provided.
Generating Topologically Optimized Cellular Structures for Additive Manufacturing
Abstract not provided.
An Introduction to Automatic Mesh Generation Algorithms - Part I
Abstract not provided.
Results 1–25 of 101