Surface integrity of metal matrix nanocomposite produced by friction stir processing (FSP)

Ramezani, Navid Molla; Davoodi, Behnam; Farahani, Mohammad Reza; Khanli, Abolfazl Hossein

doi:10.1007/s40430-019-2014-2

Cited by 16 publications

(6 citation statements)

References 28 publications

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“…This is due to the reason that the 1400 rpm sample experienced high heat which softened the surface and a smooth surface was obtained, whereas the 1000 rpm sample experienced less heat and thus more roughness was obtained in this sample. Similar results were observed by Ramezani et al [46] who studied surface integrity of AA7075/SiC surface composite produced by FSP. They observed that the surface roughness of the FSPed sample reduced with an increase in rotating speed.…”

Section: Surface Roughnesssupporting

confidence: 88%

Micro-hardness and wear behavior of AA2014/Al2O3 surface composite produced by friction stir processing

2020

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The present study aimed to improve the micro-hardness and wear properties of AA2014 aluminum alloy. Surface composite of AA2014 was produced using Al 2 O 3 as reinforcement by friction stir processing (FSP) technique. FSP was performed by using a constant traverse speed of 40 mm/min and two rotating speeds of 1000 and 1400 rpm. After FSP, the average grain size of AA2014 was reduced from 21.9 µm in base material to 9.2 µm in FSP with a rotating speed of 1000 rpm and 3.8 µm in FSP with rotating speed of 1400 rpm. Optical microscopy showed that the Al 2 O 3 reinforcement particles were distributed homogeneously in AA2014 after FSP. The micro-hardness test showed that the hardness property in AA2014/Al 2 O 3 surface composite was improved after FSP and was increased with an increase in rotating speed. The micro-hardness was improved by 30% after FSP. The wear test revealed that both the wear performance and coefficient of friction (COF) were improved after FSP. The COF was improved from 0.27461 in base material to 0.22570 in FSPed samples. Surface roughness test showed that the sample with more micro-hardness showed better surface roughness as compared to the other samples.

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Section: Surface Roughnesssupporting

confidence: 88%

Micro-hardness and wear behavior of AA2014/Al2O3 surface composite produced by friction stir processing

2020

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“…The tool rotated clockwise (CW) during different FSP strategies with complete overlap. In addition, according to the literature review and experimental research, machine parameters (rotational speed of 1500 rpm and traverse speed of 40 mm/min) were constant for all experiments 6,35 . The experiments were repeated in two FSP passes to evaluate the effect of the pass number.…”

Section: Materials and Procedures Of Friction Stir Processingmentioning

confidence: 99%

Evaluating the influence of various friction stir processing strategies on surface integrity of hybrid nanocomposite Al6061

Molla Ramezani,

Davoodi

2024

Sci Rep

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To fundamentally investigate the influence of different friction stir processing (FSP) strategies, namely raster, spiral, and parallel in various passes on the surface integrity of hybrid aluminum nanocomposites reinforced by titanium oxide (TiO2), silicon carbide (SiC), and zirconium oxide (ZrO2) nanoparticles, various examinations were conducted. The surface integrity, comprising microstructural characterization, elemental composition, surface topography, roughness, waviness, and microhardness was studied by different analyses, including scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), optical microscopy (OM), atomic force microscopy (AFM), and Vickers microhardness machine in different zones. Results demonstrated that surface integrity and quality are dependent on the type of FSP strategy. SEM images revealed that a homogeneous distribution of the nanoparticles in the matrix is obtainable by the parallel and raster FSP strategies. Roughness and waviness measurements illustrated that the surface topography of the hybrid nanocomposite was symmetrical and improved by raster strategy and TiO2 + ZrO2 nanoparticle reinforcement. Furthermore, the two-pass FSP improved the arithmetic average surface value (Ra) such that the Ra of two passes decreased by 32.5% compared to a single one. The mean microhardness in the spiral, raster, and parallel pass strategies increased by ~ 45%, 37%, and 31%, respectively.

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“…The specimen processed at 1400 rpm experiences high heat input, resulting in a softer surface. Ramezani et al [25] suggested that an increase in TRS induces plastic deformation, resulting in decreased forces and friction, which ultimately contributes to SCs with a lower SR. The significance of other FSP parameters, including TTS and GW, on SR is also supported by the ANOVA results.…”

Section: Surface Roughnessmentioning

confidence: 99%

“…Measurement of surface roughness, a crucial technical characteristic affecting the value of industrial goods, is an integral element of assessing surface quality. Ramezani et al [25] studied the surface integrity of FSP processed aluminium matrix nanocomposites. The authors studied the effects of tool rotational speed, feed rate, and FSP pass number on topography, roughness, and microhardness.…”

Section: Introductionmentioning

confidence: 99%

Control Factor Optimization for Friction Stir Processing of AA8090/SiC Surface Composites

Adiga,

Herbert,

Rao

et al. 2024

Preprint

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Friction Stir Processing is a state-of-the-art technology for microstructure refinement, material property enhancement, and surface composites fabrication. This investigation concentrates on AA8090/SiC surface composites produced via friction stir processing. Experiments were conducted by varying the following friction stir processing parameters: Tool rotational speed (800–1400 rpm), Tool traverse speed (25–75 mm/min), and Groove width (1.0-1.8 mm). Response measures encompassed Ultimate Tensile Strength and surface roughness. Central Composite Design of Response Surface Methodology designed the experiments and mathematical relationships established between input parameters and ultimate tensile strength and surface roughness. Analysis of variance was used to test the model's adequacy. The models examined individual and interaction effects of input factors on ultimate tensile strength and surface roughness of surface composites. A combinations of input parameters was identified that yields the maximum ultimate tensile strength and minimum surface roughness. Results indicate that increasing tool rotational speed produces well-finished AA8090/SiC surface composites with decreased strength. In contrast, increased tool traverse speed and groove width generate surface composites with rougher surfaces and higher strength. Surface and contour plots further explored the influence of parameter interactions on responses.

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Surface integrity of metal matrix nanocomposite produced by friction stir processing (FSP)

Cited by 16 publications

References 28 publications

Micro-hardness and wear behavior of AA2014/Al2O3 surface composite produced by friction stir processing

Micro-hardness and wear behavior of AA2014/Al2O3 surface composite produced by friction stir processing

Evaluating the influence of various friction stir processing strategies on surface integrity of hybrid nanocomposite Al6061

Control Factor Optimization for Friction Stir Processing of AA8090/SiC Surface Composites

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