Parameter Optimization of Friction Stir Welding Of AA8011-6062 Using Mathematical Method

Elanchezhian, C.; Ramnath, B. Vijaya; Venkatesan, P. S.; Shanmugam, Siva; Vignesh, T.; Siddharth, R.V.; T, Vinay B; Gopinath, K.

doi:10.1016/j.proeng.2014.12.308

Cited by 38 publications

(17 citation statements)

References 11 publications

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“…A lot of single response optimization processes have been investigated on weld strengths of alloys such as AA6061-T6 and AA7075-T6 using either the Taguchi method (TM), central composite design (CCD) or response *For correspondence surface methodology (RSM) [7,[10][11][12][13]. However, the optimal condition of friction stir welding of AA8011-6062 composite was conducted by Elanchezhian et al [14] via TM. Two responses (tensile and impact strengths) were chosen for the analysis by the authors.…”

Section: Introductionmentioning

confidence: 99%

“…Two responses (tensile and impact strengths) were chosen for the analysis by the authors. Due to a single response optimization capability of TM, the parameter combination that produced the optimum tensile strength was different from that of optimum impact strength [14]. Thus, joints with a combination of high tensile strength and high impact strength could not be investigated at a single time.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid multi-response optimization of friction stir spot welds: failure load, effective bonded size and flash volume as responses

Ojo

Taban

2018

Sādhanā

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Friction stir spot welding (FSSW) is a multi-input multi-response process. Effective multi-response optimization of welds is desirable to create welds with a balance of quality responses. In order to eliminate the subjectivity (uncertainty and engineering judgment) with the existing multi-response Taguchi-based Grey relational analysis, principal component analysis (PCA) was integrated into it. The PCA helps in determining the effective optimal weighting values required for the estimation of Grey relational grade (GRG). As a result, tool rotational speed, plunge depth and dwell time were employed as input parameters while failure load (FL), expelled flash volume (EFV) and effective bonded size (EBS) of conical pin friction stir spot-welded joint of AA2219-O alloy were the chosen output responses. EFV was minimized while FL and EBS of the joints were maximized using this hybrid multi-response approach. From the analysis of variance of GRG and its response graphs, the significant parameters and their levels were obtained. Experimental results confirmed the effectiveness and robustness of this method. In addition, three critical zones were observed on the fracture surfaces of joints, namely, tool impelled unbonded zone, partially bonded zone and effective bonded/nugget zone. The weld nugget failed by circumferential nugget shear mode.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid multi-response optimization of friction stir spot welds: failure load, effective bonded size and flash volume as responses

Ojo

Taban

2018

Sādhanā

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“…They reported that the welding speed was the dominant significant parameter compared to other parameters on the bead geometry of the joints. The lightweight nonferrous alloys were focused in aerospace, transportation and automobile industries due to its properties such as high strength-to-weight ratio and corrosion resistance using the friction stir welding process by Elanchezhian C et al [16]. They used the Taguchi L9 orthogonal array design to optimize the tensile strength of the welded joints with the optimum parameters of tool rotational speed of 1400 RPM, transverse speed of 75mm/min, plunge force of 7 kN, 15.54 mm diameter of the tool, 5.13 mm diameter of the tool pin with tool hardness of 600 HV.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of process parameters on tensile properties in Plasma Arc Welding of AA8011-H24 aluminium alloys and Ti3Al2.5V Titanium alloys using Response Surface Methodology

Palani

Elanchezhian

Raju³

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The quality of a welded joint is strongly decided by the input parameters of the plasma arc welding process. The mathematical models used to predict the optimum tensile properties based on the input process parameters of the plasma arc welding. In this investigation, the response surface methodology is applied to optimize the tensile properties of the Plasma arc welding of AA8011-H24 aluminium alloys and Ti3Al2.5V Titanium alloys by proper selection of process parameters such as welding speed, welding current and gas flow rate. The three factors, five levels central composite design was applied to conduct the experiments. The impact of the process parameters on tensile properties of the plasma arc welding process was investigated by using the sensitivity analysis of the mathematical models. The welding speed was the more sensitive parameter on the tensile properties of the plasma arc welding compared to the other parameters followed by the welding current and gas flow rate.

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“…According to these methods, a design for experiments is done and based on statistical analyses optimized values are obtained. Elanchezhian et al [12] applied a Taguchi L9 orthogonal array for the design of experiments and finally used ANOVA statistical tool to reveal the optimum values of parameters for FS welding of AA6061 and AA8011 aluminum alloys. Jafari et al [13] applied the Taguchi method for experiment design and RSM for determining the optimum values of process parameters.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Vibration during Friction Stir Welding on Corrosion Behavior, Mechanical Properties, and Machining Characteristics of Stir Zone

Fouladi

Ghasemi

Abbasi

et al. 2017

Metals

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Different methods have been applied to refine various characteristics of the zone (or nugget) obtained by friction stir welding (FSW). In the current research, joining components are vibrated normal to the weld line during FSW to refine the zone microstructure. This process is described as friction stir vibration welding (FSVW). The effect of FSVW on mechanical properties, corrosion behavior, and machining characteristics of the zone are investigated. Al5052 alloy specimens are welded using FSW and FSVW processes and their different characteristics are compared and discussed. The results show that the strength and ductility of the welded parts increase when the vibration is applied. The outcomes also show that corrosion resistance of the nugget for FSV-welded specimens is lower than FS welded samples, and machining force of the former specimens is higher than the latter ones. These are related to smaller grain size in the zone of FSV-welded specimens compared to FS welded parts. Smaller grain size leads to a greater volume fraction of grain boundaries and, correspondingly, higher strength and hardness, as well as lower corrosion resistance.

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Parameter Optimization of Friction Stir Welding Of AA8011-6062 Using Mathematical Method

Cited by 38 publications

References 11 publications

Hybrid multi-response optimization of friction stir spot welds: failure load, effective bonded size and flash volume as responses

Hybrid multi-response optimization of friction stir spot welds: failure load, effective bonded size and flash volume as responses

Sensitivity analysis of process parameters on tensile properties in Plasma Arc Welding of AA8011-H24 aluminium alloys and Ti3Al2.5V Titanium alloys using Response Surface Methodology

The Effect of Vibration during Friction Stir Welding on Corrosion Behavior, Mechanical Properties, and Machining Characteristics of Stir Zone

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