Optimization of welding parameters in CMT welding of Al 5083 alloys using VIKOR optimization method

Aravind, A. P.; Suryaprakash, S.; Vishal, S.; Sethuraman, Mathur Gopalakrishnan; Kannan, T.; Umar, Mustafa; Rajak, Sonu

doi:10.1088/1757-899x/912/3/032035

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…Effects of Wire feed speed and Arc length correction on the micro, macrostrucutres and wear performance on Aluminium cladding using CMT were investigated [12]. Multi-parameter optimization techniques were used to identify the weld quality in terms of reinforcement of welded joint, width of the bead, penetration depth i.e., DOP, width of the heat affected zone i.e., HAZ [13]. Also, various mechanical properties were optimized in CMT welding using multi-parameter optimisation [14].…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation and process parameter optimization in cold metal transfer welding for SS304L using response surface method

2023

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Cold Metal Transfer welding (CMT) was used to join SS304L plates by means of SS308L MIG wire. The effects of current, distance between nozzle and tip, welding speed on strength, hardness and surface roughness of welded zone in the CMT process by means of response surface methodology were studied in this work. The outcomes show that Current is having significant effect on the outputs. Also current interacting with weld speed is showing it’s mark on the output variables like tensile strength, hardness and surface roughness. Finally optimal results are found and the experimental values are in coincidence with the predicted values.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation and process parameter optimization in cold metal transfer welding for SS304L using response surface method

2023

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“…R.S.B., [11] have made an attempt to identify the requirements of submerged arc welding (SAW), its arc-column behaviors, its varied effect on the weld quality, the characterization of defects using sensor signals, the methods used for monitoring, and techniques to construct an intelligent welding expert system using Internet of Things (IoTs). Aravind, [12] conducted experimental research on cold-metal transfer (CMT) welding on Al5083 thin plate. With the adoption of the L9Taguchi orthogonal test design, the welding current (A), welding speed (mm/min), and welding frequency (Hz) are taken as input parameters for CMT welding.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Simulation Study on Welding Characteristics and Parameters of Gas Metal Arc Welding for Q345qD Thick-Plate Steel

Zhang,

Li,

Yang

et al. 2023

Materials

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The welding and construction processes for H-type thick-plate bridge steel involve complex multi-pass welding processes, which make it difficult to ensure its welding performance. Accordingly, it is crucial to explore the inherent correlations between the welding process parameters and welding quality, and apply them to welding robots, eliminating the instability in manual welding. In order to improve welding quality, the GMAW (gas metal arc welding) welding process parameters are simulated, using the Q345qD bridge steel flat joint model. Four welds with X-shaped grooves are designed to optimize the parameters of the welding current, welding voltage, and welding speed. The optimal welding process parameters are investigated through thermal–elastic–plastic simulation analysis and experimental verification. The results indicate that, when the welding current is set to 230 A, the welding voltage to 32 V, and the welding speed to 0.003 m/s, the maximum deformation of the welded plate is 0.52 mm, with a maximum welding residual stress of 345 MPa. Both the simulation results of multi-pass welding, and the experimental tests meet the welding requirements, as they show no excessive stress or strain. These parameters can be applied to building large steel-frame bridges using welding robots, improving the quality of welded joints.

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“…The VIKOR optimization technique is considered to be a simple, effective, and suitable method for optimizing the process parameters of any type of welding process. Due to these advantages, Aravind et al [31] executed the VIKOR optimization method to optimize the parameters used for cold metal transfer welding for achieving the set criteria for the size of the reinforcement, penetration depth, width of the weld bead, and width of the heat a ected zone in Al5083 aluminum alloy welded joints. To optimize the width of the bead, penetration depth, and microhardness of the laser welded joints of titanium Ti6AL4V sheets, Aravind et al employed the VIKOR method and veri ed it with experimental results [32].…”

Section: Introductionmentioning

confidence: 99%

Multi response optimization of friction stir welding in air and water by analytic hierachy process and VIKOR method

Meikeerthy

Ethiraj

2023

Scientia Iranica

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Friction Stir Welding (FSW) of titanium sheets was carried out under air and water environment, and the tensile properties of the joints made were measured. The tool rotational speed and tool traversing speed, which signi cantly in uence the tensile properties of the welded joints, were considered as input process parameters. This work deals with the application of the analytic hierarchy process to calculate the weights of the relative importance of the output responses using a pairwise comparison of responses and checks for the consistency and acceptability of the assumed comparison. Also, the Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) optimization technique, a multi-response multi-criterion method, was used to determine the optimum process parameters. From the VIKOR optimization method, it is observed that the higher tool rotational speed and lower tool traversing speed are the optimum process parameters in both conventional and underwater FSW. The results from the experimental measurements and the study of microstructure support the results obtained from the VIKOR optimization method.

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Optimization of welding parameters in CMT welding of Al 5083 alloys using VIKOR optimization method

Cited by 8 publications

References 7 publications

Experimental investigation and process parameter optimization in cold metal transfer welding for SS304L using response surface method

Experimental investigation and process parameter optimization in cold metal transfer welding for SS304L using response surface method

Experimental and Simulation Study on Welding Characteristics and Parameters of Gas Metal Arc Welding for Q345qD Thick-Plate Steel

Multi response optimization of friction stir welding in air and water by analytic hierachy process and VIKOR method

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