Modelling of Weld Microhardness Using an Artificial Neural Network

Issues » Volume 47, Issue 9

A. Bouras$^{1}$, M. Bouziane$^{2}$, K. Digheche$^{3}$, S. Derfouf$^{4}$, M. Aouragh$^{5}$

$^{1}$Mohamed Khider University,Université de Biskra,BP 145 RP 07000 Biskra, Algeria
$^{2}$LAHE Laboratory, Mohamed Khider University,Université de Biskra,BP 145 RP 07000 Biskra, Algeria
$^{3}$LPCMA Laboratory, Mohamed Khider University,Université de Biskra, BP 145 RP 07000 Biskra, Algeria
$^{4}$University of Batna, 2-53 Road of Constantine, Fesdis,05078, Batna, Algeria
$^{5}$LGM Laboratory, Mohamed Khider University, Université de Biskra, BP 145 RP 07000 Biskra, Algeria

Received: 16.09.2024; final version - 04.06.2025. Download: PDF

The aim of this paper is about modelling microhardness in function of welding speed and position around the welded joint. The obtained model is then able to predict this characteristic without need of further experiments.

Key words: welding, neural network, microhardness.

URL: https://mfint.imp.kiev.ua/en/abstract/v47/i09/0983.html

DOI: https://doi.org/10.15407/mfint.47.09.0983

PACS: 06.60.Vz, 07.05.Mh, 46.55.+d, 52.77.Fv, 62.20.Qp, 62.25.-g, 81.20.Vj

Citation: A. Bouras, M. Bouziane, K. Digheche, S. Derfouf, and M. Aouragh, Modelling of Weld Microhardness Using an Artificial Neural Network, Metallofiz. Noveishie Tekhnol., 47, No. 9: 983–988 (2025)

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