Metallic Crystal Defects and Irregular Geometries

Metadata Updated: July 17, 2020

Modern crystal plasticity methods take advantage of dislocation dynamics simulations to accurately model material deformation in support of computational materials design. However, there are presently no accurate and computationally efficient methods for modeling the stress and strain fields associated with dislocations in the vicinity of arbitrary free surfaces. This is a source of error in modeling dislocations for applications like MEMS, where small length scales and complex geometry make an infinite or semi-infinite assumption troublesome.

This proposal is to develop mathematical and efficient computational techniques for modeling dislocations in elastic volumes of arbitrary shape. There are already published solutions for a few such cases (semi-infinite volumes, space between two parallel planes, etc.) and this study will seek to generalize those methods. These methods will be validated using atomistic simulations and electron microscopy on MEMS devices with well-characterized dislocation structures.

Since dislocations are critical to both plasticity and failure modes in crystalline materials, this research has implications in computational design and failure prediction on subjects with length scales on the order of several microns and smaller.

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_91180
Maintainer
TECHPORT SUPPORT
Maintainer Email
Public Access Level public
Bureau Code 026:00
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Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 2922bfe3-a366-4c06-82da-fb562d530999
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2015-09-01
Homepage URL https://techport.nasa.gov/view/91180
Data Last Modified 2020-01-29
Program Code 026:027
Source Datajson Identifier True
Source Hash f89785175cb77482f0b371f2ae6ef3a81938ef4a
Source Schema Version 1.1

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