Quantitative Analysis of Tribological Performance on Al–CSA Composite Using Orthogonal Array

Raju, S. S. S. V. Gopala; Siva, B. Venkata; Rao, G. Srinivasa

doi:10.1007/978-981-15-1201-8_43

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…From the analysis, it was found that the secondary reinforcement (Al2O3) contributed the high percentage, which shows more influence on the COF than the other levels. Consequently, the sliding speed and time have shown less influence on the coefficient of friction [21]. The result was shown in Table 7.…”

Section: Fig 5 Main Effects Plots Of Cofmentioning

confidence: 89%

Investigations on Wear and Friction Characteristics of AA-2024/MOS2/Al2O3 HMMCs

Srinivas¹,

Praveen²,

Gowtham³

et al. 2022

Advances in Science and Technology

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Upgrading of reinforcements with suitable combinations in Aluminum-based hybrid metal matrix composites became a key area of research in the current manufacturing era. These advanced materials have enriched Properties like specific strength, wear resistance, and low thermal expansion. With these perceptions, the current research paper was focused on AA-2024/MoS2/Al2O3 HMMCs. Taguchi L18 orthogonal array was adopted to design the experiments. Hybrid composites containing MoS2 and Al2O3 reinforcements were fabricated by the stir casting method. The pin on disk tribometer was used for finding the wear rate and coefficient of friction of prepared composites by considering sliding speed, applied load, and sliding time as wear parameters. Further, the influence of wear parameters on Wear Rate and Coefficient of Friction (COF) was presented. Consequently, the significance of the parameters on wear rate and COF are analyzed by analysis of variance (ANOVA).

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Section: Fig 5 Main Effects Plots Of Cofmentioning

confidence: 89%

Investigations on Wear and Friction Characteristics of AA-2024/MOS2/Al2O3 HMMCs

Srinivas¹,

Praveen²,

Gowtham³

et al. 2022

Advances in Science and Technology

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“…The hardness tester was used (Model: RASN-B), and a median indentation value was taken into account. In order to determine elongation and toughness of composites, the tensile test (Model: TUE-C-100) is performed [21]. A pendulum type (Model: MIT-30, ASTM E-23) machine was used to determine impact strength.…”

Section: Estimation Of Mechanical and Tribological Properties Of Pure...mentioning

confidence: 99%

A contrastive characterization of pure Mg and AZ91D alloy based on the testing of mechanical, corrosion, wear, and erosion properties

Rallabandi,

Srinivas,

Palli

et al. 2024

Eng. Res. Express

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Magnesium alloy of grade AZ91D is utilized for a variety of applications in aircraft design and frames, as well as vehicle engine radiators, bumpers, and suspension components to reduce the weight of automobiles. This research compared the mechanical, corrosion, wear, and erosion resistance of pure Mg to that of AZ91 alloy. The corrosion media was NaCl, NaOH, and MgSO4, and the weight loss method was utilised to evaluate corrosion. The pin-on-disc configuration was utilized to assess the dry sliding wear mechanism of the Pure Mg and AZ91D alloy. Pure monolithic Mg and AZ91D magnesium alloy have a low resistance to wear as a result of an increase in contact temperature brought about by a shift of operational conditions. Erosive wear is caused when solid particles in a liquid or air jet strike a surface. Significantly influencing the erosive wear are particle velocity, impact angle, and erodent particle size. In this work, the erosive wear of AZ91D was studied using an Air jet erosion tester. SiO2 was used as the eroding material, and the flow rate of the eroding material and air was 5gm/min. The erosive factor experiments are designed using Taguchi orthogonal array (L16). The erosive factor response is erosion rate and primarily regulated by three factors as angle (30°, 45°, 60°, and 90°), time (5 and 10 min) and, contact pressure (1 and 2bar). The results of the experiments showed that the rate of wear increased with increasing pressure, and that the angle of impact of the jet at 60° caused the most wear of any of the tested angles. Analysis of variance (ANOVA) shows that time is the most important factor in determining erosive rate for AZ91D. SEM is used to investigate the structure and morphology of worn-out materials, and its findings are then confirmed.

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“…Wear rate is deliberated as ratio of volume loss to sliding distance. 37,38 The coefficient of friction is a ratio of frictional force and typical load. Force of friction has been recorded to resolve the coefficient of friction.…”

Section: Fabrication and Testing Of Csa Compositesmentioning

confidence: 99%

Ranking of Al-CSA composite by MCDM approach using AHP–TOPSIS and MOORA methods

Raju

Murali

Patnaik

2020

Journal of Reinforced Plastics and Composites

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A systematic and efficient approach for the selection of material is necessary to choose a best alternative for the structure or component under consideration. The multi-criteria decision making (MCDM) approaches are well suited to deal intricacy in judgment of material assortment. In this paper, integrated MCDM approaches like analytical hierarchy process (AHP)–technique for order preference by the resemblance to an ideal solution (TOPSIS) and AHP–multi-objective optimization on the basis of ratio analysis (MOORA) methods are used to rank aluminum-coconut shell ash (CSA) composites. The weightage for each criterion is calculated by AHP method and utilized in the TOPSIS and MOORA approaches to rank the materials. The target-based attributes such as density (physical property), hardness, tensile strength, toughness (mechanical properties), wear rate, and coefficient of friction (tribological properties) of the prepared composites are considered in the selection of criteria process. The composites are fabricated using stir-casting process by varying the volume fraction (5, 10, 15, and 20%) of CSA incorporated with Al-1100 matrix. A detailed study on the MCDM approaches revealed that Al-15% CSA composite emerged as the best material followed by Al-10% CSA composite among all, whereas the base matrix is found as the poor performed material in this study.

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Quantitative Analysis of Tribological Performance on Al–CSA Composite Using Orthogonal Array

Cited by 9 publications

References 18 publications

Investigations on Wear and Friction Characteristics of AA-2024/MOS<sub>2</sub>/Al<sub>2</sub>O<sub>3</sub> HMMCs

Investigations on Wear and Friction Characteristics of AA-2024/MOS<sub>2</sub>/Al<sub>2</sub>O<sub>3</sub> HMMCs

A contrastive characterization of pure Mg and AZ91D alloy based on the testing of mechanical, corrosion, wear, and erosion properties

Ranking of Al-CSA composite by MCDM approach using AHP–TOPSIS and MOORA methods

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