Study on the correlation of toughness with chemical composition and tensile test results in microalloyed API pipeline steels
In this investigation, an artificial neural network model with feed forward topology and back propagation algorithm was developed to predict the toughness (area underneath of stress-strain curve) of high strength low alloy steels. The inputs of the neural network included the weight perc...
Saved in:
Main Authors: | Pouraliakbar H., Khalaj G., Jandaghi M.R., Khalaj M.J. |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Belgrade, Technical Faculty, Bor
2015-01-01
|
Series: | Journal of Mining and Metallurgy. Section B: Metallurgy |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/1450-5339/2015/1450-53391500025P.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research Progress of TiN Formation and Control in the Smelting Process of Ti-Microalloyed Steel
by: Yang Rui, Li Yang, Sun Meng, Ma Shuai, Mao Yunqie, Jiang Zhouhua
Published: (2025-02-01) -
INFLUENCE OF MICROALLOYING BY BORON ON HARDENABILITY OF STEEL
by: E. P. Baradyntseva, et al.
Published: (2016-12-01) -
Investigation on the fracture toughness of a low-density δ-quenching and partitioning steel sheet
by: Z.L. Li, et al.
Published: (2025-03-01) -
Optimization of alloying element types and contents in high strength and high toughness bainitic steels
by: Ranran Zhu, et al.
Published: (2025-01-01) -
Application of Surface-Cracking Process to Improve Impact Toughness of High-Strength BCC Steel at Low Temperatures
by: Minha Park, et al.
Published: (2025-01-01)