Copper and graphite electrodes performance in electrical-discharge machining of XW42 tool steel

Haron, Che Hassan Che; Ghani, Jaharah A.; Burhanuddin, Yanuar; Seong, Yujin; Swee, C. Y.

doi:10.1016/j.jmatprotec.2007.11.285

Cited by 50 publications

(21 citation statements)

References 5 publications

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“…By varying the process parameters, the optimum combination of parameters to obtain the highest surface finish quality was determined. Cheharon et al, [2] examined the performance of copper and graphite electrodes on EDM with XW42 tool steel and proved that copper offers a higher MRR with reduced wear whilst graphite offers better finish. Guu [3] investigated the surface morphology, surface roughness and micro-crack of AISI D2 tool steel machined by the Electrical discharge machining process and conducted an analysis by means of the AFM technique.…”

Section: Previous Workmentioning

confidence: 99%

Adaptive Neuro-Fuzzy Interference System Modelling of EDM Process Using CNT Infused Copper Electrode

Sethuramalingam¹,

Sundararaj²

2017

IJIES

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This study deals with the experimental investigation of the machining characteristics of AISI D2 Tool Steel on the EDM process by using Carbon Nanotube (CNT) infused nano copper electrode, and checking the improvement in machinability characteristics like Material Removal Rate (MRR), Electrode wear rate (EWR) and Surface finish (SR). The work material is spark machined with pure copper and CNT-infused copper electrodes by varying parameters on an EDM. Experiment work is conducted based on Taguchi L9 orthogonal array. The various results of the machining characteristics of with and without CNT are compared and analyzed by means of Adaptive Neuro-Fuzzy Inference System (ANFIS) approach; Analysis of variance (ANOVA) and F-test are used to check the validity of regression model and determine the significant parameter affecting the surface roughness. The output values are found to be close to predicted values with an error of less than 5%.

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Section: Previous Workmentioning

confidence: 99%

Adaptive Neuro-Fuzzy Interference System Modelling of EDM Process Using CNT Infused Copper Electrode

Sethuramalingam¹,

Sundararaj²

2017

IJIES

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“…Khan [35] was experimentally proved that the wear rate of the Copper electrode is less than Brass electrodes during EDMed of the aluminium and mild steel workpieces due to higher thermal conductivity and melting point of Copper as compared to Brass tool. Haron et al [36] suggested that Copper electrode is more suitable for rough machining while graphite is a better option for the finish machining for EDMed of the XW42 tool steel. Singh et al [37] also tested the performance of Copper tool during drilling-EDMed of the steel.…”

Section: Research In Tool Materialsmentioning

confidence: 99%

“…Cogun and Akaslan [51] analyzed that higher tool wear occurs at inner radii as compared to the outer radii of the cylindrical hollow tool electrodes. Haron et al [36] investigated that the tool wear rate decreases and material removal rate increases with the larger diameter of the tool as compared to the smaller diameter of the tool electrode in EDM process. Lee et al [52] found that larger diameter of electrode leads in formation of micro-cracks on EDMed surface as compared to the smaller diameter of tool electrode.…”

Section: Esearch In Tool Designmentioning

confidence: 99%

Recent Research Trends in Tool Electrode of Electrical Discharge Machining: A Review

2016

Arimpie - 2016

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-Electrical Discharge Machining (EDM) is a thermo-electrical based non-contact material removal process for machining of the electrically conductive difficult-to-machine materials. The machinability of the EDM process is not affected by mechanical and physical properties of the workpiece materials. Even though, its performances are highly affected by the tool materials and their designs. Most of the research papers refer to enhance the productivity of the EDM process without considering the effect of the parameters related to the tool electrodes. Generally, the tool wear is the well known phenomenon of the EDM process that affects the plasma formation as well as surface quality and productivity. The aim of the present study is to summarize a report on the published works related to the tool electrodes materials, designs and their effect on the performances of the EDM process. Instead of this, the present paper also focuses to future research scope in the same field and discussed in the brief.

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“…By varying the process parameters, the optimum combination of parameters to obtain the highest surface finish quality was determined. CheHaron et al (2008) examined the performance of copper and graphite electrodes on EDM with XW42 tool steel and proved that copper offers a higher material removal rate (MRR) with reduced wear whilst graphite offers better finish. Guu (2005) investigated the surface morphology, surface roughness and micro-crack of AISI D2 tool steel machined by the EDM process and conducted an analysis by means of the AFM technique.…”

Section: Introductionmentioning

confidence: 99%

Analysis of multi objective optimisation using TOPSIS method in EDM process with CNT infused copper electrode

Raj

Prabhu

2017

IJMMM

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This paper presents the experimental investigation of the machining characteristics of AISI D2 tool steel on the electrical discharge machining (EDM) process by replacing the copper electrode tool with carbon nanotube (CNT) fused electrode, and checking for improvement in machinability factors like material removal rate (MRR), electrode wear rate (EWR) and surface finish (SR). The problems of high electrode wear in EDM machining, such as poor dimensional and shape accuracy of the machined part, need to be addressed. The work material is spark machined with pure copper and CNT-infused copper electrodes by varying parameters on an EDM. The results of the machining characteristics with and without the CNT are compared and analysed using Taguchi analysis. This study investigates the optimisation of EDM parameters for AISI D2 tool steel using TOPSIS method. Analysis of variance (ANOVA) and F-test are used to check the validity of regression model and determine the significant parameter affecting the surface roughness.

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Copper and graphite electrodes performance in electrical-discharge machining of XW42 tool steel

Cited by 50 publications

References 5 publications

Adaptive Neuro-Fuzzy Interference System Modelling of EDM Process Using CNT Infused Copper Electrode

Adaptive Neuro-Fuzzy Interference System Modelling of EDM Process Using CNT Infused Copper Electrode

Recent Research Trends in Tool Electrode of Electrical Discharge Machining: A Review

Analysis of multi objective optimisation using TOPSIS method in EDM process with CNT infused copper electrode

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