2018
DOI: 10.1016/j.jare.2018.03.001
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Analytic framework on parameter ranking for hybrid TIG MAG arc welding of mild steel

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Cited by 6 publications
(1 citation statement)
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“…To analyze the multiple parameters on the welding performance, the previous work by Hamjah et al undertook travel speed, Ampere and filler feed rate by using a semi-automated TIG welding process by creating single and padding beads on the horizontal base metal substrate. 7 The statistical result confirms that the torch travel speed holds a greater influence on the surface roughness as compared with feed rate and ampere. 8 Later machine learning evolved the weld quality inspection by combining it with a machine vision system, Kolisetty et al proposed the weld deposition with automatic mode, which is incorporated with robotic nondestructive testing hardware holding embedded defects by considering a tungsten rod for verification.…”
Section: Introductionsupporting
confidence: 54%
“…To analyze the multiple parameters on the welding performance, the previous work by Hamjah et al undertook travel speed, Ampere and filler feed rate by using a semi-automated TIG welding process by creating single and padding beads on the horizontal base metal substrate. 7 The statistical result confirms that the torch travel speed holds a greater influence on the surface roughness as compared with feed rate and ampere. 8 Later machine learning evolved the weld quality inspection by combining it with a machine vision system, Kolisetty et al proposed the weld deposition with automatic mode, which is incorporated with robotic nondestructive testing hardware holding embedded defects by considering a tungsten rod for verification.…”
Section: Introductionsupporting
confidence: 54%