Design Optimization of Welding Parameters for Multi-response Optimization in TIG Welding Using RSM-Based Grey Relational Analysis

Moi, Subhas Chandra; Rudrapati, Ramesh; Bandyopadhyay, Asish; Pal, P. K.

doi:10.1007/978-981-32-9072-3_17

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…GRA is a method for calculating the degree of correlation within sequences and combining several output responses into a single output response by applying a GRG to each output response [ 38 , 39 ]. Researchers [ 40 , 41 , 42 , 43 , 44 ] used GRA to optimize grey-based Taguchi analysis (GTA) welding process variables for the multi-objective response by GRG. Taguchi’s GRA multi-objective optimization approach was used in this study to optimize gas tungsten arc welding (GTAW) characteristics of various AA6061 and AA2014 alloys.…”

Section: Related Workmentioning

confidence: 99%

Grey Relational Analysis and Grey Prediction Model (1, 6) Approach for Analyzing the Electrode Distance and Mechanical Properties of Tandem MIG Welding Distortion

et al. 2023

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The tandem metal inert gas (MIG) process uses two wires that are continuously fed through a special welding torch and disbursed to form a single molten pool. Within the contact tip of the modern approach, the wires are electrically insulated from one another. This study identified the effect of welding electrode spacing on the distortion of AA5052 aluminum plates and different mechanical properties including hardness and thermal cycle using grey relational analysis. Plate distortion was subsequently predicted using the grey prediction model GM (1, 6). This research used a pair of 400 mm × 75 mm × 5 mm of AA5052 plates and electrode distances of 18, 27, and 36 mm. The welding current, voltage, welding speed, and argon flow rate were 130 A, 23 V, 7 mm/s, and 17 L/min, respectively. The temperature was measured using a type-K thermocouple at 10, 20, 30, and 40 mm from the center of the weld bead. The smallest distortion at an electrode distance of 27 mm was 1.4 mm. At an electrode distance of 27 mm, the plate may reach a proper peak temperature where the amount of heat input and dissipation rate are similar to those for electrode distances of 18 mm and 36 mm. The highest relative VHN of 57 was found in the BM, while the lowest, 46, was found in the WM, showing good agreement with their respective grain sizes. Six parameters were designed using grey relational analysis (GRA) and subsequently employed in the grey prediction model GM (1, 6). Process evaluation results show that predictions for welding distortions are consistent with actual results, thus, the GM (1, 6) model can be used as a predictive model for welding distortions of 5052 aluminum plates.

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Section: Related Workmentioning

confidence: 99%

Grey Relational Analysis and Grey Prediction Model (1, 6) Approach for Analyzing the Electrode Distance and Mechanical Properties of Tandem MIG Welding Distortion

et al. 2023

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“…RSM-DFA combination had been employed for the optimisation of several welding processes [35,115]. Although DFA can be used for MOO in welding, a few researchers had also combined grey relational analysis (GRA) with DFA to eliminate biasness associated with RSM model and thereby, enhance the performance and robustness of MOO in welding [116][117][118]. Taguchi method could be employed to solve MOO with the help of GRA [1,119,120].…”

Section: Multi-objective Optimisationmentioning

confidence: 99%

Weld optimisation

Das

Jaypuria

Pratihar

et al. 2021

Science and Technology of Welding and Joining

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In welding, the concept of optimisation had been used, till date, to serve two specific purposes. To obtain any desired weld attributes, a set of required optimal input parameters could be determined utilising the principle of optimisation. To establish an input-output relationship of a welding process accurately, which might be essential to automate it, the tools for optimisation had been used extensively. These optimisation problems were formulated as either a single-objective or multi-objectives or many-objectives ones. Both traditional and natureinspired optimisation tools were used for the said purposes. This paper provides an extensive review on the role of optimisation in welding. Some research areas have also been identified for future study.

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Finite Element Modelling, Predictive Modelling and Optimization of Metal Inert Gas, Tungsten Inert Gas and Friction Stir Welding Processes: A Comprehensive Review

Kalita

Burande

Ghadai

et al. 2022

Arch Computat Methods Eng

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Design Optimization of Welding Parameters for Multi-response Optimization in TIG Welding Using RSM-Based Grey Relational Analysis

Cited by 5 publications

References 11 publications

Grey Relational Analysis and Grey Prediction Model (1, 6) Approach for Analyzing the Electrode Distance and Mechanical Properties of Tandem MIG Welding Distortion

Grey Relational Analysis and Grey Prediction Model (1, 6) Approach for Analyzing the Electrode Distance and Mechanical Properties of Tandem MIG Welding Distortion

Weld optimisation

Finite Element Modelling, Predictive Modelling and Optimization of Metal Inert Gas, Tungsten Inert Gas and Friction Stir Welding Processes: A Comprehensive Review

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