Leveraging Deep Neural Networks for Estimating Vickers Hardness from Nanoindentation Hardness

Leveraging Deep Neural Networks for Estimating Vickers Hardness from Nanoindentation Hardness

This research presents a comprehensive analysis of deep neural network models (DNNs) for the precise prediction of Vickers hardness (HV) in nitrided and carburized M50NiL steel samples, with hardness values spanning from 400 to 1000 HV. By conducting rigorous experimentation and obtaining correspond...

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Bibliographic Details
Main Authors: Junbo Niu, Bin Miao, Jiaxu Guo, Zhifeng Ding, Yin He, Zhiyu Chi, Feilong Wang, Xinxin Ma
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Materials
Subjects:
deep neural network
hardness
nanoindentation
nitriding
Online Access:https://www.mdpi.com/1996-1944/17/1/148

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https://www.mdpi.com/1996-1944/17/1/148

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