Enhancement of material removal rate in magnetic field-assisted micro electric discharge machining of Aluminium Matrix Composites

Sivaprakasam, P.; Prakash, J. Udaya; Hariharan, P.

doi:10.1080/01430750.2019.1653979

Cited by 25 publications

(14 citation statements)

References 14 publications

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“…. RSM is the most popular method for designing an experiment for engineering problems and predicting and optimizing a given model on surface roughness [13,14]. RSM [15] is the best tool for analyzing the impact of factors and their interaction on the response.…”

Section: Response Surface Methodology (Rsm)mentioning

confidence: 99%

[Retracted] Mathematical Modeling and Analysis of Wear Behavior of AlTiN Coating on Titanium Alloy (Ti‐6Al‐4V)

Sivaprakasam

Kirubel

Elias

et al. 2021

Advances in Materials Science and Engineering

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In this study, the wear behavior of a physical vapor deposition (PVD) AlTiN coated on the titanium alloy was investigated. Response surface methodology (RSM) was used to analyze input factors, such as load (A), sliding speed (B), and sliding distance (C), while wear mass loss (WML) and coefficient of driction (COF) were considered as the response parameters. The statistical analysis shows that main factors, that is, interaction of AC and pure quadratic terms B2 and C2, have maximum influences on WML. However, COF was highly affected by load, sliding speed, and interaction of AB and quadratic term A2. The present work attempts to carry out empirical modeling to predict output response on WML and COF. Desirability-based optimization technique was employed to obtain minimum WML and COF. Microscopy images of the wear tracks reveal visible grooves and scratches that confirm abrasive wear to be the primary wear mechanism accompanied by adhesive wear. The investigation concluded that AlTiN has better wear resistance properties and can be used to coat titanium implants for biomedical application. The result shows that the minimum WML and COF have been found at applied load 15 N, sliding speed at 0.5 m/s, and sliding distance 500 m.

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Section: Response Surface Methodology (Rsm)mentioning

confidence: 99%

[Retracted] Mathematical Modeling and Analysis of Wear Behavior of AlTiN Coating on Titanium Alloy (Ti‐6Al‐4V)

Sivaprakasam

Kirubel

Elias

et al. 2021

Advances in Materials Science and Engineering

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“…To address all of these challenges, advanced machining techniques, also known as nontraditional machining processes, have been created. According to the research, using a magnetic field to enhance micro-EDM has a larger MRR than using one without a magnetic field [13,14]. Adding graphite nanopowder to a dielectric fluid while utilising micro-WEDM can greatly improve the surface finish [15].…”

Section: Introductionmentioning

confidence: 99%

Wire Electrical Discharge Machining (WEDM) of Hybrid Composites (Al-Si12/B4C/Fly Ash)

Prakash

Sivaprakasam

Garip

et al. 2021

Journal of Nanomaterials

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The present study looks into the effect of WEDM process parameters on the material removal rate (MRR) and surface roughness (SR) responses when machining hybrid composites (Al-Si12/boron carbide/fly ash) using the Taguchi technique. Fly ash and boron carbide (B4C) particles were used for reinforcement (3%, 6%, and 9% by weight), and aluminium alloy (Al-Si12) was used as a matrix material. ANOVA was used to find out the importance of machining factors that affect the quality features of the WEDM process, as well as the relative role of input parameters in determining the WEDM process’ responses. The greatest impact on the response is finalised by the signal-to-noise (S/N) ratio response analysis. However, as a last step, a confirmation experiment with the best combination was carried out to predict and validate the accuracy of the observed values. As the pulse on time and reinforcement increases, MRR also increases. As the gap voltage, wire feed, and pulse off time decrease, it increases. SR is increased by increasing the gap voltage, pulse on time, and pulse off time, wire feed, and reinforcement. The maximum MRR of 38.01 mm3/min and the minimum SR of 3.24 μm were obtained using optimal machining conditions.

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“…The diametral compression experiment was performed on discs of a 20 mm diameter and 5 mm thickness with a crosshead speed of 1 mm min −1 following ASTM E8/E8M. The tensile strength can be calculated using Equation (3).…”

Section: Compressive Testmentioning

confidence: 99%

“…The density measurements were conducted using Archimedes' principle [31]. As shown in Figure 9, the density differs from 2.33 to 3.29 g/cm 3 . The density values for Al- for Fe3O4 as illustrated in Figure 7b.…”

Section: Density Analysismentioning

confidence: 99%

“…Aluminium matrix composite (AMC) has a distinctive characteristic in multifunctional electronic packaging, renewable energy, optoelectronic devices, the telecommunication industry, medical equipment, access control systems, and others [1]. However, many researchers have confirmed that AMC is an applicable composite to improve magnetic properties in various applications, such as electrical, aeronautical, and automotive applications [2,3]. Aluminium is categorised as a paramagnetic alloy with poor magnetic properties compared to ferrous materials such as steel, titanium, cast iron, and carbon steel [4].…”

Section: Introductionmentioning

confidence: 99%

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Magnetic, Electrical, and Physical Properties Evolution in Fe3O4 Nanofiller Reinforced Aluminium Matrix Composite Produced by Powder Metallurgy Method

Ashrafi

Hanim²,

Jung³

et al. 2022

Materials

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An investigation into the addition of different weight percentages of Fe3O4 nanoparticles to find the optimum wt.% and its effect on the microstructure, thermal, magnetic, and electrical properties of aluminum matrix composite was conducted using the powder metallurgy method. The purpose of this research was to develop magnetic properties in aluminum. Based on the obtained results, the value of density, hardness, and saturation magnetization (Ms) from 2.33 g/cm3, 43 HV and 2.49 emu/g for Al-10 Fe3O4 reached a maximum value of 3.29 g/cm3, 47 HV and 13.06 emu/g for the Al-35 Fe3O4 which showed an improvement of 41.2%, 9.3%, and 424.5%, respectively. The maximum and minimum coercivity (Hc) was 231.87 G for Al-10 Fe3O4 and 142.34 G for Al-35 Fe3O4. Moreover, the thermal conductivity and electrical resistivity at a high weight percentage (35wt%) were 159 w/mK, 9.9 × 10−4 Ω.m, and the highest compressive strength was 133 Mpa.

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Enhancement of material removal rate in magnetic field-assisted micro electric discharge machining of Aluminium Matrix Composites

Cited by 25 publications

References 14 publications

[Retracted] Mathematical Modeling and Analysis of Wear Behavior of AlTiN Coating on Titanium Alloy (Ti‐6Al‐4V)

[Retracted] Mathematical Modeling and Analysis of Wear Behavior of AlTiN Coating on Titanium Alloy (Ti‐6Al‐4V)

Wire Electrical Discharge Machining (WEDM) of Hybrid Composites (Al-Si12/B4C/Fly Ash)

Magnetic, Electrical, and Physical Properties Evolution in Fe3O4 Nanofiller Reinforced Aluminium Matrix Composite Produced by Powder Metallurgy Method

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