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Optimization and Prediction of Ultimate Tensile Strength in Metal Active Gas Welding

تحسين قوة الشد القصوى والتنبؤ بها في اللحام بالغاز النشط المعدني
Authors: Anusit Ampaiboon; On-Uma Lasunon; Bopit Bubphachot;

Optimization and Prediction of Ultimate Tensile Strength in Metal Active Gas Welding

Abstract

We investigated the effect of welding parameters on ultimate tensile strength of structural steel, ST37‐2, welded by Metal Active Gas welding. A fractional factorial design was used for determining the significance of six parameters: wire feed rate, welding voltage, welding speed, travel angle, tip‐to‐work distance, and shielded gas flow rate. A regression model to predict ultimate tensile strength was developed. Finally, we verified optimization of the process parameters experimentally. We achieved an optimum tensile strength (558 MPa) and wire feed rate, 19 m/min, had the greatest effect, followed by tip‐to‐work distance, 7 mm, welding speed, 200 mm/min, welding voltage, 30 V, and travel angle, 60°. Shield gas flow rate, 10 L/min, was slightly better but had little effect in the 10–20 L/min range. Tests showed that our regression model was able to predict the ultimate tensile strength within 4%.

Related Organizations
Keywords

Composite material, Technology, Science, Friction Stir Welding, FOS: Mechanical engineering, Engineering, Advances in Friction Stir Welding and Processing, Additive Manufacturing of Metallic Components, Welding, Laser Welding, T, Mechanical Engineering, Q, R, Computer science, Materials science, Ultimate tensile strength, Welding Techniques and Residual Stresses, Physical Sciences, Medicine, Research Article

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
gold