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RISModeling and optimization of the in submerged arc welding consuming a mixture of fresh flux and fused slag
In this paper, an attempt is made to determine input-output relationships in submerged arc
welding consuming a mixture of fresh flux and fused slag using regression analysis. To develop
mathematical models, ...
Corrosion evaluation of multi-pass welded nickel–aluminum bronze alloy in 3.5% sodium chloride solution: A restorative application of gas tungsten arc welding process
In this research, the corrosion behavior of a gas tungsten arc welded nickel–aluminum bronze (NAB) alloy
is investigated by DC and AC electrochemical techniques in 3.5% sodium chloride solution. Regarding the
electrochemical impedance...
Graphene interconnect for nano scale circuits
Monitoring of GMAW Weld Pool From the Reflected Laser Lines for Real-Time Control
A novel approach for monitoring and improving the quality of welded joint in GMAW process using adaptive neurofuzzy systems
In gas metal arc welding, like other welding techniques, the quality of welded joint may be described in terms of weld bead geometry and the presence of welding defects. In turn, the characteristics of welding signals, such as voltage, current...
Regression modeling of welded joint quality in gas metal arc welding process using acoustic and electrical signals
and sound to monitor and predict the quality of the welded joints. In this work, for gas metal arc welding, a regression modeling has been proposed to predict two main weld quality measures, namely, welding defects and bead shape factor. The proposed...
A Genetic Algorithm Approach For Prediction of Process Parameters in Submerged Arc Welding
Among different welding techniques, Submerged Arc Welding (SAW) is one of the most widely used processes employed in metal forming industries. In this paper, a Genetic Algorithm approach is proposed to optimally determine SAW process parameters...
Optimization of Control Parameters in Submerged Arc Welding Using GA
Submerged Arc Welding (SAW) is one of the most important metal joining processes in metal forming industries. In this technique, optimal selection of process parameters is vital in achieving high quality joints. In this paper, modeling...
A Genetic Algorithm Approach For Prediction of Process Parameters in Submerged Arc Welding
Among different welding techniques, Submerged Arc Welding (SAW) is one of the most widely used processes employed in metal forming industries. In this paper, a Genetic Algorithm approach is proposed to optimally determine SAW process parameters...