Wear rate optimization of Al/SiC<i>np</i>/e-glass fibre hybrid metal matrix composites using Taguchi method and genetic algorithm and development of wear model using artificial neural networks

Bongale, Arunkumar; Kumar, Satish; Sachit, T.S.; Jadhav, Priya

doi:10.1088/2053-1591/aab071

Cited by 24 publications

(16 citation statements)

References 29 publications

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“…Bongale et al exploited the Taguchi method and genetic algorithms for optimizing wear test parameters of aluminum-based hybrid nanocomposite materials, processed through powder metallurgy techniques. 27 Kumar and Rajmohan used a response surface methodology based on the central composite design for the optimization of wear rate and coefficient of friction behavior of polycarboxylate composites filled with multiwall carbon nanotubes. 28…”

Section: Introductionmentioning

confidence: 99%

An investigation of date palm seed as effective filler material of glass–epoxy composites using optimization techniques

Elkhouly

Abdel-Magied

Aly

2019

Polymers and Polymer Composites

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Glass/epoxy (G-E) products are widely used in numerous industries nowadays. This is due to favorable characteristics of these products including low cost, ease of manufacturing, good mechanical properties, and lightweight. The mechanical properties of G-E composites can be enhanced through mixing with natural reinforcement materials. In this work, we investigate the use of date seeds (DSs) as a reinforcement material for G-E composites. A DS filler has been added to G-E hybrid composites as a powder by applying a semiautomatic technique. Glass fibers reinforced with angle-ply ([±45]4) were considered as commonly used G-E composites. G-E reinforced DS composites were analyzed using various mechanical characteristics such as mica-hardness, tensile strength, and impact strength. Effects of the DS filler on the wear volume loss (VL) were investigated at different parameter settings. This loss was analyzed using the traditional Taguchi method and the nontraditional flower pollination algorithm to obtain optimal parameters. Surface inspection using a scanning electron microscope and Fourier-transform infrared (FTIR) was conducted. The results revealed that the addition of a 10% DS reinforcement to G-E composites enhanced the wear resistance and increased toughness and hardness. Finally, G-E-DS composite optimization was carried out by minimizing the wear VL. This resulted in an optimum DS reinforcement of 10% at a normal load of 10 N, an abrasive size of 1200 mesh, and an abrading distance of 420 m. Deviations from this reinforcement ratio degrade the mechanical properties of the G-E-DS composite. Moreover, the significant factors are the abrasive size, reinforcement material wt%, normal load, and abrading distance. The contributions of these factors are 30.6%, 15.5%, 11.8%, and 10%, respectively. FTIR results indicate that a chemical interaction has occurred between G-E and the organic DS. These experimental results are in good agreement with the theoretical ones.

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Section: Introductionmentioning

confidence: 99%

An investigation of date palm seed as effective filler material of glass–epoxy composites using optimization techniques

Elkhouly

Abdel-Magied

Aly

2019

Polymers and Polymer Composites

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“…Homogeneous distribution of reinforcing particle in the matrix was observed to be the primary reason for the improved mechanical properties as reported in their work [8]. Bongale et al fabricated the nanocomposite with varying composition of Al 2 O 3 and SiC reinforcing particles by PM technique and observed the enriched mechanical and tribological properties after inclusion of SiC particle [9]. Kumar et al investigated the wear behaviour of Al/Al 2 O 3 /SiC nanocomposite developed by PM method and stated that variation in % composition of reinforcing particles greatly influences the mechanical and wear behaviour of the fabricated composite.…”

Section: Introductionmentioning

confidence: 65%

The evaluation of microstructure, grain boundary character and micro texture of [Al/Si₃N₄/Al₂O₃] P nanocomposites fabricated through PM route and its influence on compressive and three-body wear properties

Kothiyal¹,

Joshi²,

Mer³

et al. 2021

Mater. Res. Express

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The compressive properties and 3 body wear characteristics of powder metallurgical (PM) processed [Al/Si3N4/Al2O3] P Nanocomposites with single and combined reinforcement of Al2O3 and Si3N4 reinforcing particles having different compositions (1%, 2% and 3%) were studied and evolution of microstructure, grain boundary character and micro texture of fabricated [Al/Si3N4/Al2O3] P Nanocomposites was investigated through EBSD in the present research work. The fraction of high angle boundaries (HAGBs) were observed more in combined reinforcing samples of Al2O3 and Si3N4 whereas a single reinforcing sample of Al2O3 and Si3N4 showed fewer HAGBs. Micro texture results showed the strong textures components near to {112}<111> Cu and {110}<111 for pure sintered Al sample P and mixed reinforcement composites (M1, M2 and M3) > P whereas for single reinforcing sample showed weak textures near to transverse direction. Out of all fabricated composites, 2 % mixed Al2O3 and Si3N4 reinforced composite revealed the maximum ultimate compressive strength (209.98 MPa) and least wear rate (0.1 mm3/min mm3/N-cm for 1 kg load and 3.5 mm3/N-cm for 2kg load) attributing formation of nanocluster causing grain boundary pinning effect. The dominant failure mechanism for all samples was also detected and found to be a mixed-mode ductile failure mechanism for 2 % mixed Al2O3 and Si3N4 reinforcement composite while other sample failed through ductile as well as mixed-mode mechanisms.

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“…During increased loading condition a large amount of plastic deformation and delamination occurs on the rubbing surface leads to distortion of the oxide layer, spalling and surface fracture takes place. As the applied load exceeds, high rate of metal removal and grass damage occurs on the rubbing surfaces [29][30][31]. From results, the wear rate of LM4+2wt % (WC+Ta/NbC) hybrid nanocomposites varies from 1.8x10 -3 mm 3 /m to 4.2x10 -3 mm 3 /m, whereas wear rate of LM4+1.5wt % (WC+Ta/NbC) ranges from 2.2 x10 -3 mm 3 /m to 5.8 x10 -3 mm 3 /m under applied load from 10N to 40N respectively.…”

Section: Effect Of Sliding Velocitymentioning

confidence: 99%

Wear behavior of aluminum LM4 reinforced with WC and TA/NbC hybrid nano-composites fabricated through powder metallurgy technique

Sachit¹,

Mohan²

2019

FME Transactions

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The present investigation aims to understand the wear behavior of aluminum LM4 matrix reinforced with the different weight percentage of tungsten carbide and tantalum-niobium carbide (0.5, 1.0, 1.5 and 2wt %) hard particles. Composite Specimens prepared by powder metallurgy route followed by cold pressing and hot sintering process. The wear tests were carried out using pin-on-disc machine under varying load (10, 20, 30 and 40N) speed (1, 1.5, 2 and 2.5m/s) and sliding distance (400, 600, 800 and 1000m) at room temperature. Characterization was done on nanopowders, developed composites and worn out surfaces of tested samples using Transmission Electron Microscopy (TEM), X-ray diffractometer(XRD), Scanning electron microscopy (SEM), Energy Dispersion Spectroscopy (EDS). The obtained results indicate that higher content of hybrid nanoparticles up to 2wt% in the composite reduces the wear rate up to 43.75% as compared with pure aluminum LM4 alloy.

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Wear rate optimization of Al/SiCnp/e-glass fibre hybrid metal matrix composites using Taguchi method and genetic algorithm and development of wear model using artificial neural networks

Cited by 24 publications

References 29 publications

An investigation of date palm seed as effective filler material of glass–epoxy composites using optimization techniques

An investigation of date palm seed as effective filler material of glass–epoxy composites using optimization techniques

The evaluation of microstructure, grain boundary character and micro texture of [Al/Si₃N₄/Al₂O₃] P nanocomposites fabricated through PM route and its influence on compressive and three-body wear properties

Wear behavior of aluminum LM4 reinforced with WC and TA/NbC hybrid nano-composites fabricated through powder metallurgy technique

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Wear rate optimization of Al/SiCnp/e-glass fibre hybrid metal matrix composites using Taguchi method and genetic algorithm and development of wear model using artificial neural networks

Cited by 24 publications

References 29 publications

An investigation of date palm seed as effective filler material of glass–epoxy composites using optimization techniques

An investigation of date palm seed as effective filler material of glass–epoxy composites using optimization techniques

The evaluation of microstructure, grain boundary character and micro texture of [Al/Si3N4/Al2O3] P nanocomposites fabricated through PM route and its influence on compressive and three-body wear properties

Wear behavior of aluminum LM4 reinforced with WC and TA/NbC hybrid nano-composites fabricated through powder metallurgy technique

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The evaluation of microstructure, grain boundary character and micro texture of [Al/Si₃N₄/Al₂O₃] P nanocomposites fabricated through PM route and its influence on compressive and three-body wear properties