Tribo-Surface Characteristics and Wear Behaviour of SiC@r-GO/Mg Composite Worn under Varying Control Factor

Kavimani, V.; Prakash, K. Soorya; Starvin, M.S.; Kalidas, B.; Viswamithran, V.; Arun, S.

doi:10.1007/s12633-019-0095-2

Cited by 27 publications

(13 citation statements)

References 29 publications

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“…Figure 8a–c shows the wear rate of the base and reinforced aluminum under different loading conditions while the load applied is 30 N. Comparing Figure 7 and Figure 8, we observed that the rate of wear while sliding increases with an increase in the load from 20 N to 30 N. This increased wear rate at higher loading conditions was due to the increased contact load and the friction between the two sliding parts that tends to increase heat generation at the interface. Moreover, this generated heat results in the softening of the material and higher wear [26,27,28,29,30,31,32].…”

Section: Resultsmentioning

confidence: 99%

Sensor-Assisted Assessment of the Tribological Behavioral Patterns of Al–SiCp Composites under Various Environmental Temperature Conditions

et al. 2019

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Currently, the use of sensors and supporting technologies has become indispensable in the assessment of tribological behavioral patterns of composites. Furthermore, the current investigation focused on the assessment of the tribological behavior of the Al–SiCp composite for high-temperature applications. Moreover, the Al–SiCp composite was fabricated by adapting the liquid metallurgy route with varying weight percentages of SiCp (x = 3, 6, and 9). Density, hardness, and high-temperature wear tests were performed to evaluate the hardness and tribological characteristics and properties of modern-day advanced composites. Moreover, the inclusion of SiCp enhanced the advanced composite materials hardness from 60 HV to 110 HV due to a high degree of refinement of the α-phase. Subsequently, the fabricated samples’ wear behavior was assessed by varying the wear parameter viz. the applied load (20 N and 30 N) and sliding distance (250 m, 500 m, 750 m, and 1000 m) with the constant sliding velocity (0.45 m/s) for various temperatures (40 °C, 150 °C, and 250 °C). Moreover, the results revealed that the enhancement in the reinforcement percentage improves the wear resistance. Consequently, the wear rate decreased at 250 °C, possibly owing to the development of the oxide layers. Therefore, the occurrence of delamination and plastic deformation were evidenced in the wear-out surface, thereby depicting the prevalence of delamination and the abrasive wear-mechanism.

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Section: Resultsmentioning

confidence: 99%

Sensor-Assisted Assessment of the Tribological Behavioral Patterns of Al–SiCp Composites under Various Environmental Temperature Conditions

et al. 2019

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“…Machining is one of the important aspects of manufacturing processes by which excess materials are constantly removed by trimming from a preformed object that takes place in the form of solid chips or metal powders to get the desired shape, finish, and tolerance. e materials cannot be commercialized into applications directly without machining, as a minimum machining process is needed to get the required shape [5]. Traditional and nontraditional machining are the two different ways of machining.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of WEDM Parameters on the Mg-HNT-Zr Hybrid Metal Matrix Composite Using Taguchi-Coupled GRA

Jayaganthan

Manickam

Prathiban

et al. 2022

Advances in Materials Science and Engineering

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The current research deals with Taguchi-coupled grey relational analysis (GRA) multiobjective optimization of wire electric discharge machining (WEDM) for better surface roughness (Ra) and the material removal rate (MRR) over magnesium/halloysite nano tube/zirconium (Mg/HNT/Zr) metal matrix composite (MMC). Hybrid composites are created through the powder metallurgy route by varying the weight percentage of reinforcements HNT (5 and 10%) and Zr (0.5 and 1%) to the weight of the base material magnesium. Machining is carried out by varying the factors such as reinforcement’s weight percentage, pulse OFF time, pulse ON time, and wire feed (WF) based on Taguchi’s L27 orthogonal array. The response surface roughness (Ra) and the material removal rate (MRR) were studied through Taguchi-coupled GRA to evaluate the optimized machining parameters. ANOVA results reveal the percentage contribution of certain factors over the machining of composites. The developed regression model proved that the predicted values were merely similar to the experimental values of MRR and Ra. The best parametric combinations obtained from optimization are inline as the minimum weight percentage of reinforcements, and higher Pon, higher WF, and the lowered Poff are used to attain the best rate of MRR during machining and for minimized surface roughness.

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“…e inclusion of carbide and carbon-based reinforcement such as SiC, TiC, CNT, graphene, etc. in the magnesium matrix enhances the mechanical characteristics and functional properties [6,7]. In several industrial applications, material life is mainly dependent on surface mechanical qualities, and hence the development of surface composites has been adopted by several researchers.…”

Section: Introductionmentioning

confidence: 99%

Investigations on the WEDM of Friction Stir Processed Magnesium/Graphene-Boron Nitride Hybrid Surface Composite through the Entropy-COPRAS Approach

Kavimani

Gopal

Sivamaran³

et al. 2022

Advances in Materials Science and Engineering

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In this research, friction stir processing (FSP) is utilized to develop the graphene-boron nitride-reinforced hybrid magnesium surface composite with varying volume percentages of reinforcements. A Taguchi-coupled Entropy-COPRAS approach is adopted to understand the influence of control factors of wire electrical discharge machining on the developed magnesium surface composite. An optimal combination of machining factors to attain maximum material removal rate (MRR) along with minimal kerf width and surface roughness is to be finalized. The Taguchi method is utilized for planning the experiments with three levels and four factors, namely, reinforcement volume %, pulse off time, wire feed rate, and pulse on time. ANOVA results show that pulse on time and reinforcement volume % act as the most significant factors for output responses. Using the Entropy-COPRAS approach, an optimal combination for output response was found for a maximum MRR of 16.20 mm3/min; minimal surface roughness of 3.86 μm; and 0.29 μm of kerf width.

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Tribo-Surface Characteristics and Wear Behaviour of SiC@r-GO/Mg Composite Worn under Varying Control Factor

Cited by 27 publications

References 29 publications

Sensor-Assisted Assessment of the Tribological Behavioral Patterns of Al–SiCp Composites under Various Environmental Temperature Conditions

Sensor-Assisted Assessment of the Tribological Behavioral Patterns of Al–SiCp Composites under Various Environmental Temperature Conditions

Multiobjective Optimization of WEDM Parameters on the Mg-HNT-Zr Hybrid Metal Matrix Composite Using Taguchi-Coupled GRA

Investigations on the WEDM of Friction Stir Processed Magnesium/Graphene-Boron Nitride Hybrid Surface Composite through the Entropy-COPRAS Approach

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