Parametric optimization for friction stir welding with AA2024 and AA6061 aluminium alloys by ANOVA and GRG

Chanakyan, C.; Sivasankar, S.; Alagarsamy, S.V.; Kumar, Shalendra; Sakthivelu, S.; Meignanamoorthy, M.; Ravichandran, M.

doi:10.1016/j.matpr.2019.11.257

Cited by 13 publications

(4 citation statements)

References 13 publications

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“…It is revealed that the wear rate was developed by the increasing of sliding distance from 1,900 mm to 2,100 mm and functional load increasing from 15 to 20 N, respectively. Increasing the sliding distance improves the wear rates due to heat generation were attained not maximum during the wear process by the presence of nanoparticle aluminum oxides in the high level [19]. As shown in Figure 3(b), functional load and sliding velocity of dry sliding performances are interrelated with wear resistances; increasing the functional load and sliding velocity decreases the wear rate accurately and the friction heat was not highly initiated.…”

Section: Interaction Effects Of Input Parameters and Wear Ratementioning

confidence: 92%

Synthesized Nanoaluminum Oxide with Al2024 to Investigate Wear Behavior by Grey Relational Approach and ANN

Prakash

Rajangam²,

Joseph³

et al. 2023

Journal of Nanomaterials

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Aluminum metal matrix composites (AMCs) have been employed in automobile manufacturing to reduce weight. Also this research concentrates on the tribological performances on the processed AMCs by the stir casting liquefying method. The aluminum alloy Al2024 was employed to nanoparticles of aluminum oxide for the preparation of AMCs with constant processing condition of stirring speed to produce the homogeneous dispersion. The processed composites were further investigated to identify the wear characteristics. Therefore, the dry sliding condition was achieved on the processed composites. The input parameters of dry sliding conditions are sliding distance, functional load, and sliding velocity, and the output characteristics are wear rate and coefficient of friction (COF). Those input parameters are framed by the Taguchi L9 array and parameters were further employed to optimize with grey relational analysis. From the L9 parameters, the better wear rate and COF were accumulated in the following parameter: 2,100 mm of sliding distance, 25 N of functional load, and 2.5 m/s of sliding velocity, respectively. Then the wear rates and COF values are subjected to produce the predicted responses with supporting of artificial neural network. Most of the predicted values are much higher than the actual wear response vales. The wear resistance of all the samples composed better performances with dispersion of nanoaluminum oxide particles on the Al2024 alloy.

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Section: Interaction Effects Of Input Parameters and Wear Ratementioning

confidence: 92%

Synthesized Nanoaluminum Oxide with Al2024 to Investigate Wear Behavior by Grey Relational Approach and ANN

Prakash

Rajangam²,

Joseph³

et al. 2023

Journal of Nanomaterials

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“…The input parameter for the tool's rotational speed was set at 1000 rev/min, which resulted in the highest possible tensile strength in the welded samples. The effect of different process parameters on FWTPET's maximum tensile strength was analyzed using an analysis of variance (ANOVA) test [31,32]. Table 16 displays the summary statistics from the ANOVA test.…”

Section: Tube Preparations -Without Hole Backing Block -Presentmentioning

confidence: 99%

Comparative analysis of FWTPET welded austenitic alloy steel samples using transition fit approach: An investigation of mechanical, morphological, and microstructural properties

Manivannan

2024

Preprint

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FWTPET (Friction Welding of Tube-to-tube plate using an External Tool) is the modified FSW process that has been enhanced and verified mechanical and metallurgical properties in all base metals. To assess the welding strength, samples with and without a hole on the perimeter were compared utilizing a backing block and same experimental is repeated and compared without utilizing a backing block. Maximum tensile strength is employed as the output parameter for determining the optimal combination of rotational tool speed, extrusion of tube (tube projection) and impression on tube plate (depth of cut) for achieving the desired joint strength. Under a Transition fit scenario, the experiment was conducted when heat from the tool pin was transferred to the Tube and tube plate. Taguchi's L9 Orthogonal Array technique and Analysis of Variance (ANOVA) are used as optimization approaches for finding the best joint strength (tensile strength). A microstructural study was conducted to determine the grain size in the weld zone. At the study's end, welding strength was found to be exceptionally high, at 831.8 MPa for samples with a hole (WH) and 784.35 MPa for samples without a hole and utilizing backing block (WBB) respectively. The computed tensile strength values for samples with and without a hole (WoH) were 757.2 MPa and 700.8 MPa, for the value without utilizing backing block (WoBB) respectively. Later, special characterization technique is used to evaluate the joint strength at the weld interface (WI).

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“…Normally this alloy contains greater age-hardening characters with the generation of transistors Mg-Si intermetallic multiparts and a small quantity of silicon and magnesium. Another specific reason to select AA6351 due to less expensive materials compared to 7xxx and 2xxxx series of alloy [8]. Other significant relations are about the microstructure examination with their impacts on mechanical behaviors, which is a better understanding to obtain superior properties.…”

Section: Introductionmentioning

confidence: 99%

Microstructure and Mechanical Characteristics of Stir-Casted AA6351 Alloy and Reinforced with Nanosilicon Carbide Particles

Thirugnanam¹,

Ananth²,

Krishnan³

et al. 2023

Journal of Nanomaterials

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The main aim of this research is to analyze the mechanical performances of the influence of silicon carbide (SiC) particles with AA6351 aluminum alloy. The aluminum metal matrix composites were prepared with liquefying stir casting to produce the metal matrix composites (MMCs). The following weight fractions are AA6351-0% SiC, AA6351-2.5% SiC, AA6351-5% SiC, and AA6351-7.5% SiC utilized to compose the MMCs. The mechanical performances like hardness, flexural, impact, compressive, and tensile studies were investigated on the processed MMCs. The scanning electron microscope (SEM) was employed to examine the strengthened particle of SiC. During the SEM examinations, uniformly dispersed SiC-strengthened particles were analyzed. The entire MMCs specimens achieve greater mechanical characteristics; the specimen fabricated with a maximum volume fraction of 7.5 wt% of SiC accumulates higher strength than the other volume fractions samples. The SiC plays a very tedious role in improving mechanical attributes. The fabricated MMCs were highly utilized in the applications of automotive and aerospace usages. This application is fully employed with lesser weight and maximum strength conditions to fulfill the mechanical performances. The stir-casting process was a highly efficient technique to compose better MMCs to achieve greater strength.

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Parametric optimization for friction stir welding with AA2024 and AA6061 aluminium alloys by ANOVA and GRG

Cited by 13 publications

References 13 publications

Synthesized Nanoaluminum Oxide with Al2024 to Investigate Wear Behavior by Grey Relational Approach and ANN

Synthesized Nanoaluminum Oxide with Al2024 to Investigate Wear Behavior by Grey Relational Approach and ANN

Comparative analysis of FWTPET welded austenitic alloy steel samples using transition fit approach: An investigation of mechanical, morphological, and microstructural properties

Microstructure and Mechanical Characteristics of Stir-Casted AA6351 Alloy and Reinforced with Nanosilicon Carbide Particles

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