Coffman, V.
, Reid, A.
, Langer, S.
and Dogan, G.
(2012),
OOF3D: An Image-Based Finite Element Solver for Materials Science, Mathematics and Computers in Simulation, [online], https://doi.org/10.1016/j.matcom.2012.03.003
(Accessed February 16, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
OOF3D: An Image-Based Finite Element Solver for Materials Science
Published
Author(s)
, , ,
Abstract
Recent advances in experimental techniques (micro CT scans, automated serial sectioning, electron back-scatter diffraction, synchrotron radiation x-rays) have made it possible to characterize the full, three dimensional structure of real materials. Such new experimental techniques have created a need for software tools that can model the response of these materials under various kinds of loads. OOF (Object Oriented Finite Elements) is a desktop software application for studying the relationship between the microstructure of a material and its overall mechanical, electromagnetic, or thermal properties using finite element models based on real or simulated micrographs. OOF provides methods for segmenting images, creating meshes of complex geometries, solving PDE s using finite element models, and visualizing 3D results. We discuss the challenges involved in implementing OOF in 3D and use finite element simulations of trabecular bone as an illustrative example.Citation
Mathematics and Computers in Simulation
Volume
82
Issue
12
Pub Type
Journals
Download Paper
Keywords
finite element modeling, materials science, mesh generation, biomaterials
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created March 28, 2012, Updated November 10, 2018