Application of progressive hybrid RSM-WASPAS-grey wolf method for parametric optimization of dissimilar metal welded joints in FSSW process

Pradhan, Deepak Kumar; Sahu, Biswas; Bagal, Dilip Kumar; Barua, Abhishek; Jeet, Siddharth; Pradhan, Swastik

doi:10.1016/j.matpr.2021.05.471

Cited by 11 publications

(4 citation statements)

References 20 publications

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“…Clear phase separation was noted in the weld metal with the γ-and ε-Cu phase dominating the Fe-rich and Cu-rich zones, respectively [30]. A dissimilar joint of aluminium alloy and commercially used copper alloy by friction stir spot welding (FSSW) process shows that the optimized result of welding parameters can be obtained by the weighted aggregated sum product assessment coupled with grey wolf optimization method and pin length is the most significant factor [31]. Mechanical properties and crack propagation behavior was investigated of pressurized water reactor for cladding layer material 304L and SA508 the result indicated that the strength value at the fusion boundary is largest and yield strength reaches at 689 Mpa [32].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of hardness for dissimilar stainless-steel joint by mathematical modelling

2023

IJATEE

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Gas tungsten arc welding (GTAW) is very popular globally as it is capable of doing similar and dissimilar material welding. Most commonly steel and aluminium of different grades are joined using this process. In this research work, two unalike grades of stainless steel i.e., 304 and 316 were welded together with different combination of parameters. An attempt was made to find out the effect on the surface hardness of the joint. The parameters under consideration were current, welding speed and torch angle, having two limits, maximum limit (+1) and lower limit (-1). A mathematical model was developed between input parameters and the responses such as hardness was analyzed by using the factorial approach. The result of the analysis shows that increase in current and welding speed decreases the hardness whereas an increase in torch angle increases the surface hardness. Hardness is maximum at the weld zone of two dissimilar metals and minimum at the heat affected zone.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of hardness for dissimilar stainless-steel joint by mathematical modelling

2023

IJATEE

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“…Gupta et al [23] proposed an improved gray wolf algorithm with random wandering, showcasing its effectiveness in solving both continuous optimization and practical application problems. Pradhan et al [24] used coupled GWO with weighted aggregated sum product assessment to determine optimal welding parameters by varying factors and enhancing mechanical performance of welded joints. In addition, GWO and enhanced versions of GWO have been widely utilized in a multitude of domains, such as power systems [25; 26], automatic control [27], workshop scheduling [28; 29], and machine learning [30].…”

Section: Introductionmentioning

confidence: 99%

An improved grey wolf optimizer for minimizing drilling deformation and residual stress in AA2024 sheet

Wu,

Huang,

Zhang

et al. 2024

Int J Adv Manuf Technol

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Aiming at the problem of large deformation and residual stress after drilling of aircraft skin Aluminum Alloy 2024 (AA2024) sheet, an Improved Gray Wolf Optimizer (IGWO) is proposed to optimize its fixture layout to make the deformation and residual stress smaller. A layout coding scheme is designed to obtain the maximum deformation and residual stress under different fixture layouts.Then a kriging prediction model is developed with a prediction error of 3.7% for deformation and 2.2% for residual stress. The model is integrated with the IGWO to provide a comprehensive set of optimal solutions. The specific improvements of IGWO included initializing the population with good point set to increase population diversity, incorporation of Lévy flight to prevent local optimum, adjustable distance control parameter tuning for balance the global and local searches, and optimizing the population by non-dominated sort and crowding distance. Ultimately, experimental studies and algorithmic comparisons are carried out to verify the efficacy of both the proposed model and the algorithm.

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“…An attempt was made by Bilici et al [25] to optimize FSSW tool materials and process parameters using the Taguchi method. Meanwhile, Pradhan et al [26] attempted a hybrid RSM-WASPAS-grey wolf technique to determine the optimal process parameters for dissimilar FSSW.…”

Section: Introductionmentioning

confidence: 99%

Parametric Optimisation of Friction-Stir-Spot-Welded Al 6061-T6 Incorporated with Silicon Carbide Using a Hybrid WASPAS–Taguchi Technique

et al. 2022

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Friction stir spot welding (FSSW) is one of the most popular fusion joining processes. The process is a solid-state welding process that allows welding of weldable as well as non-weldable materials. As a part of this investigation, weld samples of Al6061-T6 were reinforced with silicon carbide (SiC) powder with an average particle size of 45 µm. Initially, a Taguchi L9 orthogonal array was developed with three factors, i.e., rotational speed of the tool, pre-dwelling time, and diameter of the hole that was filled with SiC before welding. The effects of the SiC particles and process parameters were investigated as tensile–shear load and micro-hardness. The optimisation of parameters in order to maximise the output responses—i.e., strength and hardness of the welded joints—was performed using a hybrid WASPAS–Taguchi method. The optimised process parameters obtained were a 3.5 mm guiding hole diameter, 1700 rpm tool rotation speed, and 14 s of pre-dwelling time.

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Application of progressive hybrid RSM-WASPAS-grey wolf method for parametric optimization of dissimilar metal welded joints in FSSW process

Cited by 11 publications

References 20 publications

Analysis of hardness for dissimilar stainless-steel joint by mathematical modelling

Analysis of hardness for dissimilar stainless-steel joint by mathematical modelling

An improved grey wolf optimizer for minimizing drilling deformation and residual stress in AA2024 sheet

Parametric Optimisation of Friction-Stir-Spot-Welded Al 6061-T6 Incorporated with Silicon Carbide Using a Hybrid WASPAS–Taguchi Technique

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