Weld Quality Prediction of PAW by Using PSO Trained RBFNN

Srinivas, Kadivendi; Vundavilli, Pandu R.; Hussain, M. Manzoor

doi:10.1007/978-981-15-1307-7_48

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Using Taguchi optimization, [12] studied the effect of various parameters of MIG technique on the strength of API-X42 steel and found that welding current had the most influence, followed by welding voltage. They also used backpropagation neural networks (BPNN) to model the MIG weld bead geometry and HAZ [15] and particle swarm optimization (PSO) algorithm to optimize the weld parameters [16]. Other researchers have applied L-9 orthogonal array based on Taguchi method to improve the quality response parameters of pulsed MIG welding process on AISI 1008 mild steel and reported that grey relational grading system achieved high quality welds [17]- [19].…”

Section: Influence Of Welding Parameters On Strength Of Metalmentioning

confidence: 99%

Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints

Obura,

Mayaka,

Ondieki

2024

IJCE

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Purpose: MIG welding is a type of arc welding that uses a continuous solid wire electrode and a shielding gas to join two metals by heating them with an electric arc. Process parameters including current, voltage, preheat temperature and post-weld heat treatment were studied. Then, optimize process parameters of experiments done in previous work using a Taguchi Orthogonal Array (L27) design. Methodology: A grey based Taguchi method is used to optimize the process parameters. The analysis of variance (ANOVA) is applied to assess the significance of the input parameters on the response parameters. A mathematical model is developed using multiple linear regression equations. Findings: Results of this research show that it is possible to get higher strengths of weld joints using Taguchi design. Increasing current (I) and post-weld heat treatment temperature (PWT) increases strength of the studied welded joints, and vice versa. Unique contribution to theory, policy and practice: Future research should validate the findings of the current research through experimental investigations.

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Section: Influence Of Welding Parameters On Strength Of Metalmentioning

confidence: 99%

Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints

Obura,

Mayaka,

Ondieki

2024

IJCE

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Influence of Varying Welding Parameters on Strength of MIG Welded Mild Steel Joints

Obura,

Mayaka,

Okumu

2023

Preprint

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MIG welding is a type of arc welding that uses a continuous solid wire electrode and a shielding gas to join two metals by heating them with an electric arc. We studied process parameters including current, voltage, preheat temperature and post-weld heat treatment. We optimize process parameters of experiments done in previous work using a Taguchi Orthogonal Array (L27) design. A grey based Taguchi method is used to optimize the process parameters. The analysis of variance (ANOVA) is applied to assess the significance of the input parameters on the response parameters. A mathematical model is developed using multiple linear regression equations. Results of this research show that it is possible to get higher strengths of weld joints using Taguchi design. We also find that increasing current (I) and post-weld heat treatment temperature (PWT) increases strength of the studied welded joints, and vice versa. Future research should validate the findings of the current research through experimental investigations.

show abstract

Weld Quality Prediction of PAW by Using PSO Trained RBFNN

Cited by 2 publications

References 13 publications

Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints

Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints

Influence of Varying Welding Parameters on Strength of MIG Welded Mild Steel Joints

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