Fabrication and Sliding Wear Behaviour of Metal Matrix Composites

Prakash, J. Udaya; Moorthy, T.V.; Ananth, S. Vijay

doi:10.4028/www.scientific.net/amm.612.157

Cited by 19 publications

(5 citation statements)

References 7 publications

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“…However, this model may not work well for many inputs, i.e., this model fails in a big data paradigm. RNNs, which are technically ANNs with memory and thus more suited for such ever-changing dynamic environments as tool wear, were also used to predict wear and surface roughness [103][104][105][106]. Surface wear was also predicted using random forests and multilayer perceptrons and surface isotropy levels.…”

Section: Open Issuesmentioning

confidence: 99%

A Cutting‐Edge Survey of Tribological Behavior Evaluation Using Artificial and Computational Intelligence Models

Selvaraj

Raj

Dharnidharka

et al. 2021

Advances in Materials Science and Engineering

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Any metal surface’s usefulness is essential in various applications such as machining and welding and aerospace and aerodynamic applications. There is a great deal of wear in metals, used widely in machines and appliances. The gradual loss of the upper metal layers in all metal parts is inevitable over the machine or component’s lifetime. Artificial intelligence implementations and computational models are being studied to evaluate different metals’ tribological behavior, as technological progress has been made in this field. Different neural networks were used for different metals. They are classified in this paper, together with a description of their benefits and inconveniences and an overview and use of the different types of wear. Artificial intelligence is a relatively new term that uses mechanical engineering. There is still no scientific progress to examine various metal wear cases and compare AI and computational models’ accuracy in wear behavior.

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Section: Open Issuesmentioning

confidence: 99%

A Cutting‐Edge Survey of Tribological Behavior Evaluation Using Artificial and Computational Intelligence Models

Selvaraj

Raj

Dharnidharka

et al. 2021

Advances in Materials Science and Engineering

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“…Using Taguchi's L9 orthogonal array, Suryakumari and Ranganathan (2018) investigated the wear behavior of an aluminum hybrid composite reinforced with 2.5% Al2O3 under applied loads ranging from 10 to 30 N and sliding velocities ranging from 500 to 1050 RPM [16]. Prakas et al (2014) investigated the sliding wear behaviour of Al2O3reinforced metal matrix composites with applied loads ranging from 15 N to 45 N and sliding speeds ranging from 390 RPM to 780 RPM [17]. Poovalingam Muthu (2020) used the Grey-Taguchi method to analyze the wear behavior of Aluminum MMCs while applying loads ranging from 10 N to 30 N and sliding between 780 RPM and 1050 RPM [18].…”

Section: Introductionmentioning

confidence: 99%

Characterization on Specific Wear Rate of Al Composite Reinforced with nano-Al2O3 Using Taguchi’s Technique

Rumi¹,

Rahman²

2023

Finnish J. Trib.

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The aim of the investigation was to study and predict wear properties of nano Al2O3 reinforced Al composite fabricated by a two-step stir casting method. A pin-on-disc wear device was used to study the wear characteristics. An L9 Orthogonal array was selected as per Taguchi's method to analyze the results and ANOVA was used to examine the impact of applied force, sliding speed, and duration on specific wear rates with "smaller the better" as selection criteria. As per the investigation, applied load significantly influences the particular specific wear rate. Sliding duration is the second most important factor, whereas sliding speed is the factor that has the lowest impact on a given specific wear rate. We created a regression equation with R2 and adj R2 of 99.85% and 99.76% respectively that can estimate the specific wear rate of nano Al2O3 reinforced Al composite. An apple-to-apple comparison between experimental and projected values was built using two confirmation tests, and it revealed an inaccuracy of 2.1% and 6.6%, using a scanning electron microscope. The worn-out surface of the samples with the lowest and greatest specific wear rates was examined and identified with unique oxidation layers and cracks.

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“…Because of its superior resistance to corrosion, light weight, and lower cost compared to other materials, aluminum alloys are still employed as structural materials in ship building and aircraft industries today [3]. MMCs combine the properties of alloys (toughness and ductility) with refractory reinforcement (extraordinary strength and high modulus) and result in sophisticated service temperature competencies, higher strength, and compression [4,5]. Light weight is the first prerequisite for using AMCs in many sectors.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Characterization and Microstructural Analysis of Stir-Cast Aluminum Matrix Composites (LM5/ZrO2)

et al. 2023

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Aluminum matrix composites (AMCs) are largely used in defense, maritime, and space applications for their excellent properties. LM5 is used where very high resistance to corrosion from seawater or marine atmospheres is required, for equipment used for the manufacture of foodstuffs, cooking utensils, and chemical plants. Zirconia is preferred over other reinforcements as it shows comparatively great refractory properties, high scratch resistance, and thermal shock resistance. Utilizing the stir casting technique, an attempt was made to produce AMCs of LM5 aluminum alloy strengthened with ZrO2. The weight percentage of ZrO2 was changed to 0%, 3%, 6%, and 9%. The specimens were prepared and tested as per ASTM standards to find the density, micro and macro hardness, impact, tensile, and compressive strength. The micrographs and SEM images confirm the uniform distribution of ZrO2 particles in the aluminum matrix. LM5/9%ZrO2 AMC has the highest density value of 2.83 g/cm3 and LM5/3%ZrO2 has the least porosity of 2.55%. LM5/9% ZrO2 has the highest hardness values of 78 VHN and 72 HRE. LM5/6% ZrO2 AMC has the highest tensile strength of 220 MPa, compressive strength of 296 MPa, and toughness of 12 J. LM5/6% ZrO2 AMCs may be used for many structural applications.

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Fabrication and Sliding Wear Behaviour of Metal Matrix Composites

Cited by 19 publications

References 7 publications

A Cutting‐Edge Survey of Tribological Behavior Evaluation Using Artificial and Computational Intelligence Models

A Cutting‐Edge Survey of Tribological Behavior Evaluation Using Artificial and Computational Intelligence Models

Characterization on Specific Wear Rate of Al Composite Reinforced with nano-Al2O3 Using Taguchi’s Technique

Mechanical Characterization and Microstructural Analysis of Stir-Cast Aluminum Matrix Composites (LM5/ZrO2)

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