Published August 24, 2021 | Version v1
Dataset Open

Data from: A 3D Analysis of Dendritic Solidification and Mosaicity in Ni-Based Single Crystal Superalloys

Description

Author: F. Scholz, M. Cevik, P. Hallensleben, P. Thome, G. Eggeler, J. Frenzel

Affiliation: Ruhr University Bochum

Date: 08/2021

Material: Nickel-base superalloy ERBO/1 (more details: Parsa, A. B., et al. Advanced scale bridging microstructure analysis of single crystal Ni-base superalloys. Adv. Eng. Mater. 2015, 17 (2), 216-230, https://doi.org/10.1002/adem.201400136)

Casting: Bridgman seed technique; Withdrawal rate: 180 mm/h, Thermal gradient 13.3 K/mm (more details: Hallensleben, P., et al. On the evolution of cast microstructures during processing of single crystal Ni-base superalloys using a Bridgman seed technique, Mat. Des. 2017, 128, 98–111, https://doi.org/10.1016/j.matdes.2017.05.001)

Sample: Cross sectional slices extracted perpendicular to the growth direction of a single crystal superalloy cylinder (diameter 12mm, length 120 mm).

Image acquisition: Optical microscope of type Axio (Carl Zeiss GmbH) equipped with a high-resolution CCD-camera of type Leica DFC320 and stepper-motor driven sample stage of type Tango Desktop (Märzhäuser)

Image pre-processing: Preparation of wide-field image collages using the stitching procedures implemented in software package Imagic ims (https://imagic.ch/en/imagic-ims, 07/2021)

Image post-processing: Image registration with CorelDraw X7 (: https://www.coreldraw.com/en/, 07/2021) using a contour reference mask

Quantitate analysis: Dendrite positions were extracted using the software package ImageJ (https://imagej.de.softonic.com/, 07/2021).

--------------------------------------

The five optical micrographs cross sections represent image data which were obtained by tomographic characterization of as-cast single crystal nickel-base superalloy prepared by a seeded Bridgman technique. The material has been studied in the frame of the collaborative research center SFB/TR 103. All details on the applied Bridgman technique are described in the literature (Hallensleben, P., et al., Mat. Des. 2017, 128, 98–111, https://doi.org/10.1016/j.matdes.2017.05.001 and Hallensleben, P., et al., Crystals 2019, 9 (3), 149, https://doi.org/10.3390/cryst9030149). The tomographic image slices were prepared by successive electro discharge machining using incremental steps of 1mm. The image series represents the evolution of dendritic microstructures during the early stages of crystal growth from the back melted seed. The five wide-field micrographs were used to retrieve dendrite positions (enclosed as CSV data for each cross section) to evaluate crystal mosaicity on the basis of dendrite growth directions. All information and a detailed interpretation of tomographic are available in (Scholz, F., PhD-thesis, Ruhr University Bochum, https://doi.org/10.13154/294-8079). We hope that our image data will be useful for other types of solidification research. Please provide a notification by personal mail on the re-use of our raw data. Thank you.

All images and dendrite position data were evaluated in the following study concerning dendrite growth behavior, low angle misorientation defects, dendrite arrangements and spacings:

Scholz, F.; Cevik, M.; Hallensleben, P.; Thome, P.; Eggeler, G.; Frenzel, J. A 3D Analysis of Dendritic Solidification and Mosaicity in Ni-based Single Crystal Superalloys, Materials 2021, 14 (17), 4904 (https://doi.org/10.3390/ma14174904).

Files

ERBO1_RUB_snv_pos11,4.csv

Files (39.0 MB)

Name Size Download all
md5:2ff80b3207d4104b14674c7459f03f6e
53.9 kB Preview Download
md5:c2905fbba481e8838d1ce5ff0ba31404
8.3 MB Preview Download
md5:a73a521ba7f4727d92be11baca119d07
48.7 kB Preview Download
md5:2a91e96a7e5399088ddef4b59b29e445
7.1 MB Preview Download
md5:76cbca5ebafa4d89c041b9378c79c344
52.5 kB Preview Download
md5:2b16a82094dfa896c4ccd060601626db
7.8 MB Preview Download
md5:7164c339c34be48c6c6c4624798005ef
52.5 kB Preview Download
md5:41c75f11c38fa929d17f66ddb059e986
7.7 MB Preview Download
md5:e5cdcb9a1c98331674feccbfafcc56e5
53.2 kB Preview Download
md5:2f81341e049f321186bb4121ed18997e
7.9 MB Preview Download