Prediction and Process Analysis of Tensile Properties of Sinter-Hardened Alloy Steel by Artificial Neural Network

Prediction and Process Analysis of Tensile Properties of Sinter-Hardened Alloy Steel by Artificial Neural Network

Sinter-hardening is an emerging powder metallurgy process by which the consolidation of powder and the hardening of dense bulk samples are integrated into one step. In this study, to understand the complex effects of sinter-hardening parameters on the properties of the Fe-Cr-Ni (Cu)-C alloy, an arti...

Full description

Bibliographic Details
Main Authors: Zhaoqiang Tan, Zijun Qin, Qing Zhang, Yong Liu, Feng Liu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Metals
Subjects:
powder metallurgy
tensile properties
sinter-hardening
artificial neural network
Online Access:https://www.mdpi.com/2075-4701/12/3/381

Internet

https://www.mdpi.com/2075-4701/12/3/381

Similar Items