Dataset for: Effective structural unit analysis in hexagonal close packed alloys – reconstruction of prior beta microstructures & crystal orientation post processing analysis
Notice bibliographique
Résumé
Data for "Effective structural unit analysis in hexagonal close packed alloys – reconstruction of prior beta microstructures & crystal orientation post processing analysis" by R.Birch and T.B.Britton Ruth Birch (1),Ben Britton (1,2) 1. Department of Materials, Imperial College London 2. Now also, Department of Materials Engineering, University of British Columbia For more information please contact: ruth.birch07@imperial.ac.uk --- Reconstruction code The reconstruction code is available on GitHub: https://github.com/ExpMicroMech/ParentBOR MTEX version: 5.4 The main file to run this code is: Reconstruct_Main --- Figure data provided: Figure 1 12 unique α variants (V1-12) for a fixed β orientation of (0,30,15) showing the corresponding planes and directions between the BCC and HCP orientations via prisms and pole figures. For the prisms: shared planes between variants are indicated by the colour of the plane and shared directions between variants are indicated by the coloured + dashed directions. For the pole figures, the shared plane or direction is shown by the coloured dot, the other HCP points by the larger grey dots and the BCC orientation is shown by the smaller black dots The folder 'figure 1' contains the scripts used to create figure 1 in the paper - (to run use Combined_Figures_V2.m) Figure 5 Simulated dataset in (A) β phase (IPF-Z) and (B) α phase (IPF-Z). (C) Grain boundaries identified by type on a greyscale variant number background – red = parent grain boundary, blue = α/α grain boundary. (D) The reconstructed parent grain microstructure (IPF-Z) – where there are multiple β grain orientation options, the alternative orientations are shown in the circles overlaid on the grains. The grain numbers on (D) correspond with the previous table. The folder 'SimulatedDataset' contains the scripts to create the a simulated dataset equivalent to the one in figure 5, along with PaperSimulatedDataset.m which can be used with the reconstruction code to output the plots for figure 5. Figures 6,7,8 6: Reconstruction of an EBSD map from a β quenched Zircaloy-4 sample showing [1] Initial α microstructure (IPF-Z) [2] Pattern quality map with overlaid grain boundaries, identified by type: RED = parent grain boundaries; Blue = α-α (or BOR) grain boundaries [3] Initial reconstruction output – β phase (IPF-Z ) [4] Reprocessed parent β grains (IPF-Z) with an arrow showing the location of the grain selected for further analysis. The dashed circle indicates an interesting grain discussed below. 7: Example showing how the β orientation certainty is affected by the number unique α variants present. There are three potential β variants (shown by the coloured & linked boxes) with just α grains 1 and 2, whereas with all three grains this reduces to one orientation (β variant 6 for all grains). α grain orientations are shown by the coloured dots in the pole figures, whilst the 6 potential β orientations for each of these are shown by the black dots in the pole figures. 8: Post processing outputs for β quenched Zircaloy-4 samples [A] β orientation certainty map showing the number of potential β variants for each parent β grain [B] α variant map – all 12 variants shown [C] α variant map coloured by α variants with shared (c) planes [D] α variant map coloured by α variants with shared directions. Note: for [B]-[D] comparisons can only be made directly within the grains as it is calculated on a grain by grain basis. The folder 'PaperDataset' contains the input file 'BCWQ10min2.h5' which can be used along with the settings file 'Settings_BCWQ10min2.txt' to create the plots used for figures 6,7&8. Figures 9 & 10 9: Reconstruction of smaller region into one or two (main) parent β grains - effect with changing inflation power from 1.2 to 1.6. In this figure, the upper row shows the reconstructions as coloured using the IPF-Z colourmap, and the bottom row shows the calculated misorientation of the (as measured) α grains from the ideal α orientations determined from the parent β grain orientation. 10:(A) Comparison of the two beta grain orientations, showing the shared planes for each using solid colour (corresponding to the IPFZ map colours for each grain). (B) alpha grains for this region coloured by parent grain orientation β1, β2 or ambiguous (β1/β2). (C) manually sorted alpha grains, coloured by parent beta grain assigned (IPFZ colouring) – along with the pole figures for each parent beta grain region, with the alpha orientations the coloured dots and the beta orientations the black dots in each case. The folder Appendix_Figs contains the script Appendix_Figs.m along with splitGrain.mat. splitGrain.mat contains the cutdown EBSD map required to create figures 9 and 10 - this needs to be put through the reconstruction code with the required inflation power. The script Appendix_Figs.m can then be used to create the plots required to create the figures. An example of the other settings used is found in 'Settings_Example.txt'.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,099 | 0,092 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».