Journal
ADVANCED THEORY AND SIMULATIONS
Volume 5, Issue 7, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adts.202200132
Keywords
3D visualization; dual phase (DP) steels; generative adversarial network (GAN); materials DX; materials informatics; SliceGAN
Categories
Funding
- [21A202]
Ask authors/readers for more resources
SliceGAN is a method used to generate 3D microstructure images of ferrite-martensite dual phase steels from one or three 2D images. It accelerates the 3D visualization of microstructure and shows a good agreement with experimentally reconstructed 3D images.
SliceGAN is used to generate a 3D microstructure image from one or three 2D images in ferrite-martensite dual phase steels. This method accelerates 3D visualization of microstructure to be hourly task. The 2D images sliced from the SliceGAN-3D image seem to be quite similar with the original 2D images. The volume fraction of martensite in SliceGAN-3D image is in good agreement with that in experimentally reconstructed 3D image.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
