Mechanical Properties, Material and Design of the Automobile Piston: An Ample Review

Ahmed, Aqeel; Wahab, M. S.; Raus, A. A.; Kamarudin, Kamarul-Azhar; Bakhsh, Qadir; Ali, Danish

doi:10.17485/ijst/2016/v9i36/102155

Cited by 16 publications

(7 citation statements)

References 27 publications

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“…X-ray diffraction tests were carried out with the Advanced Goniometer Model 2036E201 (Bruker: Bangalore, India) aid using Cu Kα radiation (Kα = 154,056). During the test, the sample was stagnant and scanned with a rate of 2 °/min through 10–80° for the diffraction angle (2θ) [ 41 , 42 , 43 ].…”

Section: Methodsmentioning

confidence: 99%

Multi Ceramic Particles Inclusion in the Aluminium Matrix and Wear Characterization through Experimental and Response Surface-Artificial Neural Networks

et al. 2021

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Lightweight composite materials have recently been recognized as appropriate materials have been adopted in many industrial applications because of their versatility. The present research recognizes the inclusion of ceramics such as Gr and B4C in manufacturing AMMCs through stir casting. Prepared composites were tested for hardness and wear behaviour. The tests’ findings revealed that the reinforced matrix was harder (60%) than the un-reinforced alloy because of the increased ceramic phase. The rising content of B4C and Gr particles led to continuous improvements in wear resistance. The microstructure and worn surface were observed through SEM (Scanning electron microscope) and revealed the formation of mechanically mixed layers of both B4C and Gr, which served as the effective insulation surface and protected the test sample surface from the steel disc. With the rise in the content of B4C and Gr, the weight loss declined, and significant wear resistance was achieved at 15 wt.% B4C and 10 wt.% Gr. A response surface analysis for the weight loss was carried out to obtain the optimal objective function. Artificial neural network methodology was adopted to identify the significance of the experimental results and the importance of the wear parameters. The error between the experimental and ANN results was found to be within 1%.

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Section: Methodsmentioning

confidence: 99%

Multi Ceramic Particles Inclusion in the Aluminium Matrix and Wear Characterization through Experimental and Response Surface-Artificial Neural Networks

et al. 2021

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“…In order to adapt to future demands, the material selection for the manufacture of piston engines become even more challenging. [1] [2] [3] Although aluminum is widely used in piston manufacturing, it presents low mechanical properties that are not compatible with the new generation of high-performance engines. A second material option is steel.…”

Section: Introductionmentioning

confidence: 99%

Ferro fundido nodular a partir de machos impressos em 3D para nova geração de pistões de motor

MARTINS,

CABEZAS,

BUSCHMANN

2023

Blucher Engineering Proceedings

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The piston engine is one of the most critical components of the automotive industry due to cyclical stresses they are subjected to. In order to adapt to new environmental legislations, the material selection for the manufacture of piston engines become even more challenging. Nodular cast iron (NCI) is a sustainable option for piston engines. Its mechanical properties can be successfully manipulated through heat treatment to achieve tensile strengths as high as 1400 MPa when austempered and 900 MPa when normalized. In addition, the use of additive manufacturing, producing cores in 3D printers, allows greater freedom of design and the production of components with few geometric restrictions. In this work, mechanical, physical and microstructure properties at high temperatures of an EN-GJS-800-02 NCI alloy were evaluated. Results have shown that thermal conductivity of this material reaches a maximum value of 31 W/Km at 400 °C, the usual working temperature of ICE components. The yield tensile strength results are as follows: 909 MPa at 20 °C and 731 MPa at 400 °C. The fatigue strength limit is 305 MPa at 20 °C and 214 MPa at 400 °C. The aim of this work was to provide a reliable data base for designers, allowing them to apply NCI for the new generation of piston engines in a more favorable way.

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“…The adding of graphite or silicon carbide to Al-Gr/Al-SiC composite was not favorable above a certain point. Wear resistance can be improved by using graphite as a main compliance and silicon as subordinate compliance, which create a shielding layer between composite pin and counterpart [15]. Si 3 N 4 -reinforced Al alloys have a higher hardness.…”

Section: Introductionmentioning

confidence: 99%

Optimization on Wear Rate of AA2219/Nanographite/TiB₂/Si₃N₄ Hybrid Composites Using Taguchi Process

Shekar

Gurusamy

Suthan³

et al. 2022

Journal of Nanomaterials

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The various following reinforcements like nanographite, titanium diboride (TiB2), silicon nitride (Si3N4), and aluminum 2219 have all been investigated in this study. Current research suggests that TiB2 and graphite may be a suitable reinforcement for Al2219 alloy. The stir casting process was used to make reinforced composites on unreinforced Al2219. Compared to the unreinforced Al2219, the TiB2 and nanographite-reinforced hybrid composites showed the exceptional wear resistance (30%) at 175°C. Matrix strengthening kinetics is improved at 175°C when TiB2 and nano-Gr reinforcement particles are present. To obtain a p value less than 1% and an absolute relative error of less than 1%, an artificial neural network was employed.

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Mechanical Properties, Material and Design of the Automobile Piston: An Ample Review

Cited by 16 publications

References 27 publications

Multi Ceramic Particles Inclusion in the Aluminium Matrix and Wear Characterization through Experimental and Response Surface-Artificial Neural Networks

Multi Ceramic Particles Inclusion in the Aluminium Matrix and Wear Characterization through Experimental and Response Surface-Artificial Neural Networks

Ferro fundido nodular a partir de machos impressos em 3D para nova geração de pistões de motor

Optimization on Wear Rate of AA2219/Nanographite/TiB₂/Si₃N₄ Hybrid Composites Using Taguchi Process

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Mechanical Properties, Material and Design of the Automobile Piston: An Ample Review

Cited by 16 publications

References 27 publications

Multi Ceramic Particles Inclusion in the Aluminium Matrix and Wear Characterization through Experimental and Response Surface-Artificial Neural Networks

Multi Ceramic Particles Inclusion in the Aluminium Matrix and Wear Characterization through Experimental and Response Surface-Artificial Neural Networks

Ferro fundido nodular a partir de machos impressos em 3D para nova geração de pistões de motor

Optimization on Wear Rate of AA2219/Nanographite/TiB2/Si3N4 Hybrid Composites Using Taguchi Process

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Product

Resources

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Optimization on Wear Rate of AA2219/Nanographite/TiB₂/Si₃N₄ Hybrid Composites Using Taguchi Process