Big-Volume SliceGAN for Improving a Synthetic 3D Microstructure Image of Additive-Manufactured TYPE 316L Steel

Big-Volume SliceGAN for Improving a Synthetic 3D Microstructure Image of Additive-Manufactured TYPE 316L Steel

A modified SliceGAN architecture was proposed to generate a high-quality synthetic three-dimensional (3D) microstructure image of TYPE 316L material manufactured through additive methods. The quality of the resulting 3D image was evaluated using an auto-correlation function, and it was discovered th...

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Bibliographic Details
Main Authors: Keiya Sugiura, Toshio Ogawa, Yoshitaka Adachi, Fei Sun, Asuka Suzuki, Akinori Yamanaka, Nobuo Nakada, Takuya Ishimoto, Takayoshi Nakano, Yuichiro Koizumi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Journal of Imaging
Subjects:
SliceGAN
generative adversarial network
synthetic 3D image
additive manufacturing
autocorrelation function
Online Access:https://www.mdpi.com/2313-433X/9/5/90

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