the lattice curvature tensor, the rank two tensor of the spatial derivatives of the orientation field
Syntax
kappa = curvatureTensor(M, cs)
By its 3 x 3 matrix in a crystal frame.
kappa = ebsd.curvature()
From the orientation gradients of a map.
Description
The curvature is what the dislocation density tensor is derived from, dislocationDensity(kappa). A map of the plane gives no derivative along z, so the third column of a curvature computed from it is NaN.
Input
M |
3 x 3 matrix, or an array (…, 3, 3) of them |
cs |
crystalFrame the coefficients refer to |
Keywords
| keyword | default | description |
|---|---|---|
rank |
the rank of the tensor; for this class always two | |
doubleConvention |
read and write a Voigt matrix with the factors of two off the diagonal | |
frame |
the reference frame of the coefficients, instead of giving it positionally | |
density |
the mass density of the material, carried along | |
unit |
the physical unit of the coefficients, a string carried along | |
name |
the name of the tensor, carried along | |
Kelvin |
read a 6 x 6 matrix in the Kelvin (Mandel) notation | |
dtype |
the NumPy type of the coefficients |
Output
kappa |
curvatureTensor |
See also
tensor, dislocationDensityTensor, EBSD.curvature, curvatureTensor.dislocationDensity
Members
| curvatureTensor | the lattice curvature tensor, the rank two tensor of the spatial derivatives of the orientation field |
| dislocationDensity | convert lattice curvature to the Nye dislocation density tensor |
| fitDislocationSystems | rho, factor = fitDislocationSystems(kappa, dS): the dislocation densities that account for the curvature with the least total line energy, one signed density per system, NaN where no combination of them reproduces it |
MATLAB’s curvatureTensor_index
source
Citing this page.
This page is part of the documentation of
MTEX, a free and open
source MATLAB toolbox for analyzing and modeling crystallographic textures.
It was written by The MTEX Developers and is published at
https://mtex-toolbox.github.io/curvatureTensor_index_py.html.
If you use MTEX, or reuse text or figures from this page, in your research,
please cite
F. Bachmann, R. Hielscher, H. Schaeben: Texture Analysis with MTEX - Free and Open Source Software Toolbox, Solid State Phenomena 160 (2010), 63-68. 10.4028/www.scientific.net/SSP.160.63
BibTeX
@article{bachmann2010mtex,
author = {F. Bachmann and R. Hielscher and H. Schaeben},
title = {Texture Analysis with MTEX - Free and Open Source Software Toolbox},
journal = {Solid State Phenomena},
volume = {160},
pages = {63-68},
year = {2010},
doi = {10.4028/www.scientific.net/SSP.160.63},
url = {https://doi.org/10.4028/www.scientific.net/SSP.160.63}
}
Other papers describing specific MTEX methods are listed under Publications — please cite the one that best fits your application. The MTEX source code is licensed under the GNU General Public License v2.0; the text and figures of this documentation are licensed under CC BY 4.0, which permits reuse — including by automated systems — provided The MTEX Developers and this page are credited.