Friction stir welding of hybrid AA 6061-ZrO<sub>2</sub>-C composites FSW process optimization using desirability approach

Pandiyarajan, R.; Ponnambalam, Maran; Murugan, N.; Marimuthu, Sundar; Sornakumar, T.

doi:10.1088/2053-1591/ab084e

Cited by 23 publications

(13 citation statements)

References 22 publications

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“…The RSM is frequently used in conjunction with desirability functions to forecast more optimum results [ 14 , 15 , 16 , 17 ]. The research reported in [ 18 ] constructed an empirical model to anticipate overcut in machining using the Box Behnken design and compared the empirical model with the RSM model.…”

Section: Introductionmentioning

confidence: 99%

Minimization of Surface Roughness and Temperature during Turning of Aluminum 6061 Using Response Surface Methodology and Desirability Function Analysis

2022

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Aluminum alloy is the second most abundant metal on Earth, known for its wide range of utilization in commercial goods due to its heat capacity and tensile strength. This study examines the effect of nose radius on the turning process. Further, it explores the implications of cutting parameters such as the cutting speed, the rate of feed, the cutting depth, and the nose radius of the tool. The trials were carried out with an Al 6061 workpiece and an Al2O3-coated carbide tool as the cutter, utilizing the response surface methodology. A mathematical model was developed to investigate the performance characteristics of the turning operation using the analysis of variance method. The multi-response desirability function analysis combines individual desirability values to create a composite desirability value. The ideal parameter levels were determined using the composite desirability value, and the significant influence of parameters was assessed. The obtained optimum surface roughness and temperature parameters are at a cutting speed of 116.37 m/min, a rate of feed of 0.408 mm/rev, a cutting depth of 0.538 mm, and a tool nose radius of 0.20 mm. The related ideal surface roughness and temperature values are 0.374 µm and 27.439 °C. The optimal overall desirability value is 0.829, close to the target response.

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Section: Introductionmentioning

confidence: 99%

Minimization of Surface Roughness and Temperature during Turning of Aluminum 6061 Using Response Surface Methodology and Desirability Function Analysis

2022

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“…The effect of FSW on AA6061/ZrB 2 joints was investigated by Dinaharan and Murugan [19] and revealed that agglomerated particles were broken into smaller particles. Several studies were reported on applying various statistical and mathematical methods to correlate FSW process variables and weld properties to obtain weld of high quality [20][21][22][23][24][25][26]. Pandiyarajan et al [20] applied a desirability approach to optimization, for concurrent enhancement of hardness and joint strength of welded AA 6061-ZrO 2 -C composites and revealed that the tool rotational speed significantly alters the joint strength.…”

Section: Introductionmentioning

confidence: 99%

Experimental assessment of FSW process to join AA6061/Rutile composite and parametric optimization using TGRA

et al. 2021

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Present study is focused on investigating the effect of various friction stir welding (FSW) process variables on AA6061/Rutile composites welding quality. FSW of composites was performed considering tool geometry (Tg), welding speed (Ws) and rotational speed (Ns) as ideal parameters for multi-response optimization. Experiments were designed based on the L9 orthogonal array. Analysis of variance (ANOVA) was utilized to evaluate the effects of these welding process variables on output responses namely hardness and ultimate tensile strength (UTS). Main effects plots were drawn to found out the optimal levels of these process parameters. Multi-response optimization of the welding process has been performed using Taguchi's grey relational analysis (TGRA). Analysis revealed that welding speed of 90 mm min −1 , a tool with a square pin, and rotational speed of 1000 rpm produced an FSW joint with excellent mechanical properties. Microstructure analysis revealed that refinement in the grain structure and redistribution of reinforced particles helped in improved joint strength.

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“…Refinement of microstructure in the nugget zone with the inclusion of TiO 2 nanoparticles results in the enhancement of mechanical properties. Pandiyarajan et al [14] produced stir cast hybrid aluminum matrix composites with ZrO 2 and graphite reinforcements.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Friction Stir Weldability Characteristics of AA7075‐T651 and AA6061‐T6 Based Nanocomposites

Madhusudan

Shanmuganatan

Shridhar³

et al. 2021

Advances in Materials Science and Engineering

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Friction stir welding (FSW) is an emerging solid-state process and alternative to fusion welding, wherein frictional heat is generated between a nonconsumable rotating steel tool and the work substrate. The present study focuses on the influence of the operating attributes like tool pin contact geometry, welding speed, and tool rotational speed on dissimilar aluminum matrix nanocomposites. AA6061-T6 and AA7075-T651 aluminum alloy plates were joined via double-pass FSW with the inclusion of 5 vol. % of nanoscale h-BN particles. Welding was performed with four rotational speeds (600, 800, 900, and 1000 rpm), three traversing speeds (30, 40, and 60 mm/min), and three distinct tool pin geometry (cylindrical, threaded cylindrical, and square), respectively. Besides, unreinforced and reinforced weldments were analyzed for mechanical properties like tensile strength and microhardness. Microstructural characterization was also carried out using FESEM and XRD techniques. The findings concluded that the reinforced samples welded using a cylindrical tool and double-pass strategy showcased homogenous distribution of nanoparticles with grain refinement, thereby exhibiting improved strength and hardness.

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Friction stir welding of hybrid AA 6061-ZrO₂-C composites FSW process optimization using desirability approach

Cited by 23 publications

References 22 publications

Minimization of Surface Roughness and Temperature during Turning of Aluminum 6061 Using Response Surface Methodology and Desirability Function Analysis

Minimization of Surface Roughness and Temperature during Turning of Aluminum 6061 Using Response Surface Methodology and Desirability Function Analysis

Experimental assessment of FSW process to join AA6061/Rutile composite and parametric optimization using TGRA

Investigation on Friction Stir Weldability Characteristics of AA7075‐T651 and AA6061‐T6 Based Nanocomposites

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Friction stir welding of hybrid AA 6061-ZrO2-C composites FSW process optimization using desirability approach

Cited by 23 publications

References 22 publications

Minimization of Surface Roughness and Temperature during Turning of Aluminum 6061 Using Response Surface Methodology and Desirability Function Analysis

Minimization of Surface Roughness and Temperature during Turning of Aluminum 6061 Using Response Surface Methodology and Desirability Function Analysis

Experimental assessment of FSW process to join AA6061/Rutile composite and parametric optimization using TGRA

Investigation on Friction Stir Weldability Characteristics of AA7075‐T651 and AA6061‐T6 Based Nanocomposites

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Friction stir welding of hybrid AA 6061-ZrO₂-C composites FSW process optimization using desirability approach