Grain Neighbor Data Output

[smithht]

Hello,

I have been trying to output grain neighbor information such as slip transmission factors into a csv or ascii file to be used in a python script elsewhere. I started out by trying to use the export ascii data file and export feature data as csv filters, but neither of those filters seem to be able to output grain neighbor data. I also tried out Dream3DNX's python library, but I have not had any luck there either. I am able to import a .dream3d file by using the simplnx / dream3dnx python library. I am also able to extract feature data like feature IDs and centroids, but I am still unable to extract any grain neighbor data, like the slip transmission factors that I am trying to get. Is there any way for me to extract slip transmission factors from a .dream3d file? Thanks for the help!

[imikejackson]

@smithht If you use the filter Write Feature Data as CSV File there is a checkbox for "Write Neighbor data". Be sure that is checked. Then inside that file you are looking for lines that start with Feature_IDs,Element Count,NeighborList which will have the Grain id, followed by the number of Neighbors, followed by the grain id of each of the neighbors. For example:

Feature_IDs,Element Count,NeighborList
0,0,
1,13,59,249,311,434,436,712,1041,1379,1770,1870,1998,2102,2117
2,16,182,237,243,476,862,1243,1263,1397,1486,1585,1624,1761,1950,2036,2130,2352
3,13,606,740,820,1122,1326,1503,1669,1693,1702,1937,2045,2282,2319

For the Slip Transmission Metrics you are looking for this section:

Feature_IDs,Element Count,mPrime List
0,0,
1,13,0.9819827,0.45385918,0.048086327,0.99969316,0.05913462,0.29886177,0.9998246,0.03676867,0.41224033,0.04884192,0.016433438,0.77190816,0.007143227
2,16,0.20643012,0.00020077267,0.55452055,0.04306566,0.7056655,0.07842169,0.71082073,0.6954936,0.7460404,0.89323324,0.4147177,0.019449975,0.028742552,0.8222783,0.8011304,0.713467
3,13,0.19385502,0.77548146,0.8343567,0.47038278,0.12397981,0.008674569,0.113047704,0.18280967,0.03828828,0.84689516,0.027088713,0.00893455,0.74893343

With those 2 sections of data you should be able to construct the orientation relationships between each grain.

You should also be able to do this in python by reading the data from the DataStructure that is generated after that filter is run. I will have to defer to our python expert @JDuffeyBQ for help in with that approach.

[smithht]

Thank you very much, @imikejackson ! I just didn't scroll down far enough to find the neighbor and mprime lists. It would still be nice to be able to extract this data in Python. When I try to extract non-neighbor type feature data from the overall DataStructure, like centroids, I am able to get a simplnx.Float32Array object. When I try extracting slip transmission metrics from the DataStructure, I get back a simplnx.DataObject object. I haven't been able to get any useful data out of the simplnx.DataObject objects.

[JDuffeyBQ]

The next release will include updated python bindings with the ability to access NeighborList objects and their data.