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Abstract

Aspects in Mining & Mineral Science

Selective Analysis of a High-Strength Steel Shielded Metal Arc Weld Metal Database

Submission: August 14, 2024:Published: October 28, 2024

DOI: 10.31031/AMMS.2024.12.000795

ISSN : 2578-0255
Volume12 Issue4

Abstract

The current effort performed a novel, two-stage selective analysis of a large, Shielded Metal Arc (SMA) Weld Metal (WM) database posted online at ResearchGate by Dr. Glyn M Evans [1] together with the previously published analysis [2] using Constraints-Based Modeling (CBM), an Artificial Neural Network (ANN) offered by Japan Welding Engineering Society (JWES) at its web-site [3] and a machine learning algorithm that provided a New Ar3 equation [4] as appropriate and effective tools to organize and analyze Evans’s database in gaining valuable insights on welding electrode development and/or evaluation:
a.The first-stage selective analysis of TiBAlN series of WMs with N content below 85ppm (0.0085wt-%) used two metallurgical criteria involving CBM, New Ar3 equation and JWES-ANN tool; and
b.The second-stage selective analysis used the results of the first-stage selective analysis and identified 61 WMs belonging to different Fe-C-Mn systems with N content below 100ppm (0.0010wt-%) to reaffirm that control of selected characteristics is essential to obtain high-performance WM microstructures.

Keywords:Yield strength; Pressure vessels; Machine; Temperature; Strength; Metal arc

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