Study of Influence of Process Parameters in Electric Discharge Machining of Aluminum – Red Mud Metal Matrix Composite

Kar, Chinmayee; Surekha, B.; Jena, Hemalata; Choudhury, Suvan Dev

doi:10.1016/j.promfg.2018.02.057

Cited by 25 publications

(12 citation statements)

References 8 publications

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“…The matrix system creates a function on the needs of the metals which are used to change the method of the different particles. During the process of the liquid phase, the range of the system provides material based on suitable aspects [1][2][3]…”

Section: Fabrication Of Composite Metalmentioning

confidence: 99%

Fabrication and Machining of Metal Matrix Composite Using Electric Discharge Machining: A Short Review

Jain¹,

Kumar²,

Shrivastava³

2021

Evergreen

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Metal Matrix composite is a metal reinforced with two or more constituents which can be any other materials either metal or non-metal. Metal matrix composites (MMCs), which are inherently intelligent, are lightweight and high-performance, ever-expanding materials. The structural and functional properties of these materials may be modified by industrial requirements. Researchers and the industry are attracted by the process technology used in the production and processing of these products. The hybrid-electric discharge process for MMCs is a promising and the most effective nonconventional process. It has greater expertise in manufacturing complex shapes with greater precision. This paper gives an updated analysis of the development and advantages of various routes for composite manufacturing and machining. It reports on several realistic analyzes and study results, including various manufacturing and processing problems for MMC Since the last few years, hybrid electrical discharge machining has been an active field of research in critical and nonconventional machining. This paper includes annual research in production, traditional machining, unconventional machining, and hybrid MMC machining. The final part of the paper addresses conclusions and future scope.

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Section: Fabrication Of Composite Metalmentioning

confidence: 99%

Fabrication and Machining of Metal Matrix Composite Using Electric Discharge Machining: A Short Review

Jain¹,

Kumar²,

Shrivastava³

2021

Evergreen

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“…It was also revealed that the electrodes used in EDM had a substantial impact on MRR and surface roughness. Chinmayee et al [10] investigated the influence of input parameters (discharge current, pulse-on-time, and open circuit voltage) on MRR, Tw and radial overcut of AA 7075 aluminum-6% red mud metal matrix composites (AMMC) in the EDM process. From the results, it has been observed that pulse on-time and discharge current have a crucial influence on machinability characteristics of (AMMC) by providing useful information with less deviation to improve the accuracy of the EDM parts.…”

Section: Introductionmentioning

confidence: 99%

Performance Prediction in EDM Process for Al 6061 Alloy Using Response Surface Methodology and Genetic Algorithm

Abdulridha

Ibraheem

Abdulameer

2022

alkej

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The Electric Discharge (EDM) method is a novel thermoelectric manufacturing technique in which materials are removed by a controlled spark erosion process between two electrodes immersed in a dielectric medium. Because of the difficulties of EDM, determining the optimum cutting parameters to improve cutting performance is extremely tough. As a result, optimizing operating parameters is a critical processing step, particularly for non-traditional machining process like EDM. Adequate selection of processing parameters for the EDM process does not provide ideal conditions, due to the unpredictable processing time required for a given function. Models of Multiple Regression and Genetic Algorithm are considered as effective methods for determining the optimal processing variables of Electrical Discharge Machining. The material removal rate (MRR) and tool wear (Tw) were investigated using the process variables of pulse on time (Ton), pulse off time (Toff), and current intensity (Ip). The established empirical models were used to perform Genetic Algorithm (GA) to maximize (MRR) and minimize (Tw). The optimization results were utilized to establish machining conditions, validate empirical models, and obtain optimization outcomes. The optimal result that appears in this work was the pulse on (176.261 μs), pulse off (39.42 μs), and current intensity (23.62 Amp.) to maximize the MRR to (0.78391 g/min) and reduce tool wear to (0.0451 g/min).

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“…They concluded that pulse-on time, pulse-off time, spark-gap voltage and wire tension were important factors which decide the surface roughness and material removal rate. Kar et al 12 studied the Influence of factors in Electric Discharge Machining of Aluminum -red mud MMCs. They studied the relationship between the process variables and material removal rate, electrode wear rate and radial over cut.…”

Section: Introductionmentioning

confidence: 99%

Material Characterization and Parametric Optimization of Unconventional Machining of TiN and TaC reinforced Stir Casted Vitallium Metal Matrix Composite

Prabhu

Palanisamy

2020

Mat. Res.

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Study of Influence of Process Parameters in Electric Discharge Machining of Aluminum – Red Mud Metal Matrix Composite

Cited by 25 publications

References 8 publications

Fabrication and Machining of Metal Matrix Composite Using Electric Discharge Machining: A Short Review

Fabrication and Machining of Metal Matrix Composite Using Electric Discharge Machining: A Short Review

Performance Prediction in EDM Process for Al 6061 Alloy Using Response Surface Methodology and Genetic Algorithm

Material Characterization and Parametric Optimization of Unconventional Machining of TiN and TaC reinforced Stir Casted Vitallium Metal Matrix Composite

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