Application of Artificial Bee Colony Algorithm for Optimization of MRR and Surface Roughness in EDM of EN31 Tool Steel

Das, Milan Kumar; Kumar, Kaushik; Barman, Tapan Kumar; Sahoo, Prasanta

doi:10.1016/j.mspro.2014.07.090

Cited by 62 publications

(16 citation statements)

References 11 publications

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“…Response surface methodology (RSM) is a simple yet powerful tool for the modeling and analysis of a response of interest that is influenced by several process variables. It combines both mathematical and statistical techniques to find out the interrelationships between the responses and process parameters, as well as to evaluate the competence of the model for future predictions [48][49][50][51][52]. Generally, a response surface is graphically represented.…”

Section: Response Surface Methodologymentioning

confidence: 99%

Investigation of Wear Behavior of Electroless Ni-P-W Coating under Dry and Lubricated Conditions Using RSM and Fuzzy Logic

Mukhopadhyay¹,

Duari²,

Barman³

et al. 2016

Port. Electrochim. Acta

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The present work aims to investigate and correlate the wear behavior of electroless NiP -W coating under dry and lubricated conditions with the tribological testing parameters. A pin-on-disc configuration test setup is used for the same. Taguchi's orthogonal design of experiments technique is used to carry out the experiments. Both response surface and fuzzy rule based models are seen to be effective in determining the complex interrelationship between the wear depth of the coatings and the test parameters, namely applied normal load, sliding speed and sliding duration. The coefficient of determination for fuzzy logic based predictions is seen to be higher than the regression predicted ones, indicating better modeling capabilities of the artificial intelligence technique. ANOVA results reveal that the wear depth is mostly influenced by sliding speed followed by applied normal load and sliding duration for both dry and lubricated conditions. Coating composition, phase transformation and microstructure studies are undertaken to analyze their effects on the wear behavior. Abrasive wear mechanism is seen to be the predominating under both dry and lubricated condition. The coatings are seen to suffer more wear under dry sliding condition compared to lubricated environment.

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Section: Response Surface Methodologymentioning

confidence: 99%

Investigation of Wear Behavior of Electroless Ni-P-W Coating under Dry and Lubricated Conditions Using RSM and Fuzzy Logic

Mukhopadhyay¹,

Duari²,

Barman³

et al. 2016

Port. Electrochim. Acta

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show abstract

“…The MRR increases with increase of pulse off-time and decrease of voltage because the narrow plasma channel results in less energy transfer to machined surface. Extreme increase of discharge current due to formation of larger crater on the machined surface offers more SR [35]. During EDM of steel, MRR showed linear relationship with both peak current and pulse on-time:…”

Section: Methods Of Improving Materials Removal Ratementioning

confidence: 97%

A review on optimization of machining performances and recent developments in electro discharge machining

Nahak

Gupta

2019

Manufacturing Rev.

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Electro discharge machining (EDM) is a popular unconventional machining process widely employed in die-making industries. Careful selection of process parameters such as pulse current, voltage, on and off time, etc. is essential for machining of hard and conductive materials using EDM. Previous researchers working in the area of EDM have extensively analyzed the machining performance through experimental study, modeling, and simulation and also by theoretical analysis. This article discusses the significant summary of the work performed by earlier researchers through a detailed literature survey. Relevant literature on EDM and impact of process parameters on performance measures such as surface quality, tool wear rate and material removal rate are reviewed. The challenge and limitation of EDM process are also highlighted in this article. It is observed that optimization of process parameters is essentially required for effective and economical machining. So, this article addresses the various issues related to EDM and also provides brief insight into some of the current generation applications of EDM process explored in various industries.

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“…Previous research has shown that the quality of the machined surface is determined primarily by the pulse current and the pulse-on duration time [5][6][7][8][9][10][11][12][13][14][15] but few literatures studied the effect of electrode material [16][17][18][19][20][21][22][23]. Accordingly, the current study is based upon these two parameters, and specifies pulse currents of 15, 30 and 50 A with pulse-on times of 20, 100, 180 ls.…”

Section: Edm Principlementioning

confidence: 99%

Effect of electrode material on electrical discharge machining of tool steel surface

Younis

Abbas

Gouda

et al. 2015

Ain Shams Engineering Journal

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In this study the effect of electrode material was studied to avoid resulting residual stresses, the surface roughness and cracks resulted during Electrical Discharge Machining (EDM). Two types of EDM electrode materials were chosen, Dura graphite 11 and Poco graphite EDMC-3. Two grades of tool steels are chosen as test materials, DIN 1.2080 and DIN 1.2379. Different machining methods were chosen ''rough, medium, and soft'', it was found that the Dura graphite 11 exhibits more surface cracks upon DIN 1.2379 less micro-cracks appeared on the surface than on DIN 1.2080 while the higher surface roughness appeared in DIN 1.2080 using Dura Graphite 11 electrode, also Residual stresses were studied upon the surface and it was found that POCO Graphite EDMC-3 electrode results higher residual stresses compared with Dura Graphite 11 electrode. Also Soft EDM machining exhibits higher residual stresses as a result of higher pulse on duration time. Ó 2015 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Application of Artificial Bee Colony Algorithm for Optimization of MRR and Surface Roughness in EDM of EN31 Tool Steel

Cited by 62 publications

References 11 publications

Investigation of Wear Behavior of Electroless Ni-P-W Coating under Dry and Lubricated Conditions Using RSM and Fuzzy Logic

Investigation of Wear Behavior of Electroless Ni-P-W Coating under Dry and Lubricated Conditions Using RSM and Fuzzy Logic

A review on optimization of machining performances and recent developments in electro discharge machining

Effect of electrode material on electrical discharge machining of tool steel surface

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