Cargando…
A Study on Establishing a Microstructure-Related Hardness Model with Precipitate Segmentation Using Deep Learning Method
This paper established a microstructure-related hardness model of a polycrystalline Ni-based superalloy GH4720Li, and the sizes and area fractions of γ’ precipitates were extracted from scanning electron microscope (SEM) images using a deep learning method. The common method used to obtain morpholog...
Autores principales: | Wang, Chan, Shi, Duoqi, Li, Shaolin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085056/ https://www.ncbi.nlm.nih.gov/pubmed/32164253 http://dx.doi.org/10.3390/ma13051256 |
Ejemplares similares
-
The δ Phase Precipitation of an Inconel 718 Superalloy Fabricated by Electromagnetic Stirring Assisted Laser Solid Forming
por: Lyu, Feiyue, et al.
Publicado: (2019) -
Deep Learning-Based Segmentation of 3D Volumetric Image and Microstructural Analysis
por: Mahmud, Bahar Uddin, et al.
Publicado: (2023) -
Advanced Steel Microstructural Classification by Deep Learning Methods
por: Azimi, Seyed Majid, et al.
Publicado: (2018) -
Deep learning for twelve hour precipitation forecasts
por: Espeholt, Lasse, et al.
Publicado: (2022) -
Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation
por: Cao, Jianfeng, et al.
Publicado: (2020)