Influence of machining parameters of electrochemical micromachining process over magnesium based hybrid metal matrix composite

Jayaganthan, A.; Prakash, K. Soorya

doi:10.1088/2053-1591/aae959

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…e sample was compressed using a hydraulic press machine with a 40 mm diameter die, a 560 Mpa load, and a 10-minute dwell time. Finally, under an argon gas atmosphere, the compressed green composite was sintered at 550 °C in a muffle furnace, and sintered samples were then cooled down in the furnace [3]. Images of sintered composite material samples are displayed in Figure 2.…”

Section: Methodsmentioning

confidence: 99%

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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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Section: Methodsmentioning

confidence: 99%

“…e fundamental preferred position of this procedure is that the collection of metals that can be dealt with is progressively broad and the assistant handling is negligible. Powder metallurgy and diffusion bonding methods are the most commonly used methods to make solid-state processing [3].…”

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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“…They reported that, an increase of voltage, tool feed rate, electrolyte concentration, percentage reinforcement and flow rate significantly influence the MRR. Jayaganthan et al, [14] studied the influence of micro ECM process parameters on magnesium based hybrid MMC through Taguchi approach. ANOVA results shows that the applied voltage is a major influencing parameter to affects the MRR and surface roughness of the developed MMC.…”

Section: Introductionmentioning

confidence: 99%

Production of Aluminum 6063 Metal Matrix Composite with 12% Magnesium Oxide and 5% Graphite and its Machinability Studies using Micro Electrochemical Machining

Babu¹,

Sabarinathan²,

Dharmalingam³

2020

JNMES

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Hybrid Aluminum Metal Matrix Composites (AMMCs) are finding application in aerospace and automobile industries for its light weight. In this research hybrid AMMCs with 12% magnesium oxide (MgO) and 5% graphite (Gr) were fabricated and mechanical properties were studied. The compressive strength, bending stress frictional force, impact strength are found to be 292.94 N.mm-2 , 1.31 N.mm-2 , 11.3 N (maximum) J.m-2 = 0.4x10 5 respectively. Moreover the highest hardness values are obtained during Brinell and Rockwell testing's 127.23 BHN, 59 HRB respectively. Machinability studies using micro electrochemical machining (micro ECM) is performed on the hybrid AMMCs by varying the voltage, electrolyte concentration, duty cycle and electrolyte temperature. L9 Orthogonal array (OA) is conducted and the experimental results are analyzed using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Based on the TOPSIS analysis the optimal combination for the higher MRR and lesser OC is 9 V,25 gm.L-1 ,80 % duty cycle and 35º C electrolyte temperature (A2B2C3D1). Analysis of Variance (ANOVA) shows that the duty cycle is the most significant factor followed by voltage and electrolyte temperature for higher material removal rate (MRR) and lower overcut (OC).

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Experimental Investigation on Machining of Recycled Aluminum Alloy Metal Matrix Composite in ECMM

Annamalai¹,

Dhavamani²

2023

Trans Indian Inst Met

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Influence of machining parameters of electrochemical micromachining process over magnesium based hybrid metal matrix composite

Cited by 8 publications

References 27 publications

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

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

Production of Aluminum 6063 Metal Matrix Composite with 12% Magnesium Oxide and 5% Graphite and its Machinability Studies using Micro Electrochemical Machining

Experimental Investigation on Machining of Recycled Aluminum Alloy Metal Matrix Composite in ECMM

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