Optimization of Friction Stir Processing Parameters for 60/40 Brass using Taguchi Method

Meena, Kamlesh K.; Kumar, Aditya; Pandya, Shailesh N.

doi:10.1016/j.matpr.2017.02.044

Cited by 17 publications

(6 citation statements)

References 6 publications

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“…Literature overviews of the optimization of FSW parameters for aluminum and its alloys , magnesium alloys [47][48][49][50][51][52] , steel and its alloys [53,54] , copper and its alloys (i.e., brass) [55,56] , dissimilar joints of aluminum to copper and their alloys [57][58][59][60][61][62][63][64][65] , aluminum alloys to steel alloys [66][67][68][69][70][71][72] , aluminum alloys to magnesium alloys [73] , and steel alloys to copper [74] are provided in Tables 1-8. It demonstrates the selected parameters in their optimization studies, percentage 3/20 https://www.doi.org/10.53964/jmim.2022005 of contributions % obtained, arrays used, alloys, thicknesses of materials, statistical DOE methods performed, and the efficiencies of responses (properties) acquired in these investigations.…”

Section: Data Collectionmentioning

confidence: 99%

“…Solid-state techniques such as FSW are available to overcome various flaws related to fusion processes, such as hot cracking, distortion, and porosity. FSW performs under the melting temperature, about 10-20%, of the materials [1] and has been vastly utilized for welding similar or dissimilar metals for aluminum and its alloys , titanium alloys [46] , magnesium alloys [47][48][49][50][51][52] , steel and its alloys [53,54] , copper and its alloys (i.e., brass) [55,56] , dissimilar joints of aluminum to copper or brass [57][58][59][60][61][62][63][64][65] , aluminum to steel [66][67][68][69][70][71][72] , aluminum to magnesium [73] , and steel to copper [74] . These metals are regarded as hard to weld by traditional fusion processes.…”

Section: Introductionmentioning

confidence: 99%

“…This study firstly ranked the parameters separately of each metal joining group based on the types of metals. Eight sets were selected, namely aluminum and its alloys , magnesium alloys [47][48][49][50][51][52] , steel and its alloys [53,54] , copper and its alloys (i.e., brass) [55,56] , dissimilar joints of aluminum to copper and their alloys [57][58][59][60][61][62][63][64][65] , aluminum alloys to steel alloys [66][67][68][69][70][71][72] , aluminum alloys to magnesium alloys [73] , and steel alloys to copper [74] . Each metal group had different combinations of optimized parameters.…”

Section: Introductionmentioning

confidence: 99%

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An Analytic Hierarchy Process for a General Ranking of Friction Stir Welding Parameters Optimized Through the Design of Experimental Arrays

2022

J Mod Ind Manuf

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Objective: This study aims to rank friction stir welding parameters using the analytic hierarchy process (AHP). Methods:The proposed approach includes two phases to achieve a general ranking of the parameters through the separate estimation of their weights on each metal type and aggregation. The criteria used in the AHP for ranking are the contribution percentages and the degrees of the parameters obtained from the analysis of variance of experimental studies. The data were obtained from literature that used the design of experimental arrays to optimize these parameters on multiple properties and many similar and dissimilar metals. Fourteen parameters were assigned in the present analysis, namely rotational speed (RS), traverse speed (TS), axial force (AF), pin profile (PP), tilt angle (TA), the ratio between shoulder diameter and pin diameter (D/d ratio), shoulder diameter (SD), pin diameter (Pd), plunge depth (PD), pin length (PL), tool offset (TO), shoulder concavity (SC), number of passes (NOP) and base metal side (BMS). Results:The parameters were classified into highly significant, moderately significant, and insignificant based on their rankings. The RS, TS, TA, and PP were the highest-ranking parameters with a total contribution of 83.4% to outputs. The insignificant parameters included the D/d ratio, BMS, SC, AF, and Pd, with a low total contribution of 14%. The moderately significant parameters were the TO, NOP, SD, PD, and PL. Conclusion:The above-mentioned significant parameters could be controlled to maximize the response. The failure to achieve the target specified in the standard by controlling only highly significant parameters signifies a need for further modification of the FSW process. Therefore, parameters of moderate significance are potential parameters that need to be controlled to achieve the target. To limit the selection between these parameters, reference should be made to the type of metal used and then the parameters with the greatest impact on the metal are selected, i.e. controlling PL for aluminum, NOP, and SD for magnesium, and TO for aluminum-to-steel and aluminum-to-copper.

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Section: Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Analytic Hierarchy Process for a General Ranking of Friction Stir Welding Parameters Optimized Through the Design of Experimental Arrays

2022

J Mod Ind Manuf

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“…Taguchi method was utilized for S/N ratio analysis using Minitab software to inspect the most influential process parameters on the output responses and the optimum parameters' optimum conditions. High strength materials, i.e., AA7075 reinforced with varying amounts of TiC by casting technique [17] and surface-modified 60/40 brass plate [18], were tested for wear behavior and analyzed by the Taguchi method. The optimum conditions of reinforcement %, load speed, and sliding distance were evaluated using ANOVA and were validated by confirmation tests.…”

Section: Introductionmentioning

confidence: 99%

Investigation of microstructural and wear behavior of Al6061 surface composites fabricated by friction stir process using Taguchi approach

Saxena

Bongale

Kumar

et al. 2022

Mater. Res. Express

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The surface composites of aluminum alloys have a higher scope of applications encountering surface interactions in the aerospace, automobile, and other industries compared to the base aluminum alloys. The friction stir process (FSP) is recently the preferred method to prepare aluminum-based surface composites due to its capability to produce improved physical properties and refined microstructure at the surface. The study examines the Al6061 alloy-based surface composite fabricated by FSP for their wear behavior and microstructure. In this study, the Al6061 alloy-based hybrid surface composites are prepared with varying weight% of copper and graphite microparticles mixture as reinforcement by FSP with two tools having unique pin profiles, i.e., threaded cylindrical and plain cylindrical. These prepared composites are investigated for the dry sliding wear test on a pin-on-disc test set-up. The experiments are designed using the L9 orthogonal array and analyzed by the Taguchi approach to obtain the influence of disc speed, load, and reinforcement weight% on wear rate. The significant parameters influencing the wear rate of the samples tested are obtained using ANOVA. Later the effects of the friction stir process and the wear tests on the microstructure of the workpieces are investigated using FE-SEM/EDS tests. It is concluded that the decrease in wear rate with the rise in reinforcement weight% (Cu + graphite) from 2% to 6%. The load has the maximum effect on the wear rate for the samples prepared by threaded cylindrical FSP tool pin profile, while reinforcement weight% affects significantly the wear rate of the samples prepared by FSP with plain cylindrical pin profile tool.

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“…This technique has been used by various researchers in optimizing parameters for experiments. This includes the optimization of friction stir welding parameters (similar and dissimilar materials) and friction stir processing parameters [23][24][25][26][27][28][29]. However, the focus will be on the application of this statistical technique in optimizing the FSP parameters.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Normal and Submerged FSP Parameters for Dissimilar Aluminium Joints Using Taguchi Technique

Msomi

Mabuwa

2021

MSF

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The quality of the friction stir processed (FSPed) depends on the proper combination of processing parameters. The proper combination can only be found when a series of experiments have been conducted. However, the Taguchi technique was developed as a way of reducing numerous experiments that are time-consuming and costly. This paper reports on the optimization of parameters for the FSP that is conducted underwater (SFSP) and room temperature (NFSP). The Taguchi L18 method was employed in the design of experiments. The four factors used for the analysis had three factors with three-levels and one with two levels. The parameter combinations for SFSP were different from the combination found for NFSP. The level of parameter sensitivity was found to be influenced by the processing condition.

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Optimization of Friction Stir Processing Parameters for 60/40 Brass using Taguchi Method

Cited by 17 publications

References 6 publications

An Analytic Hierarchy Process for a General Ranking of Friction Stir Welding Parameters Optimized Through the Design of Experimental Arrays

An Analytic Hierarchy Process for a General Ranking of Friction Stir Welding Parameters Optimized Through the Design of Experimental Arrays

Investigation of microstructural and wear behavior of Al6061 surface composites fabricated by friction stir process using Taguchi approach

Optimization of Normal and Submerged FSP Parameters for Dissimilar Aluminium Joints Using Taguchi Technique

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