Investigation of machining parameters for the multiple-response optimization of micro electrodischarge milling

Mehfuz, R.; Ali, Mohammad Yeakub

doi:10.1007/s00170-008-1705-0

Cited by 41 publications

(20 citation statements)

References 17 publications

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“…The effects of these process parameters on the responses almost match with the observations of Mehfuz and Ali (2009).…”

Section: Fig 6 Classification Tree For Prediction Of Mrr (Three Clasupporting

confidence: 75%

“…The metal removal mechanism of this process is excellently detailed out in (Ho & Newman, 2003;Liu et al, 2008;Rajurkar et al, 2013;Skrabalak et al, 2013). Mehfuz and Ali (2009) studied the effects of three micro electro discharge milling process parameters, i.e. feed rate, capacitance and voltage on four responses, i.e.…”

Section: Example 1: Micro Electro Discharge Milling Processmentioning

confidence: 99%

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Parameter selection in non-traditional machining processes using a data mining approach

Dey¹,

Chakraborty²

2015

10.5267/j.dsl

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With ever-increasing demands for high surface finish and complex shape geometries on various difficult-to-machine materials, conventional metal removal methods are now being replaced by nontraditional machining (NTM) processes. These NTM processes use energy in its direct form to remove material from the workpiece surface. They are also cost effective for a wide range of microand nano-level applications. For effective utilization of different NTM processes, it is quite important to study their characteristics and material removal mechanisms in order to identify the most significant control parameters affecting the process responses. In this paper, a data mining approach using classification and regression tree algorithm is employed to identify the most important input parameters of three NTM processes, i.e. micro electro discharge milling process, wire electrical discharge machining process and laser beam machining process. The derived observations are also validated using the analysis of variance results.Growing Science Ltd. All rights reserved. 5

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“…The effects of these process parameters on the responses almost match with the observations of Mehfuz and Ali (2009).…”

Section: Fig 6 Classification Tree For Prediction Of Mrr (Three Clasupporting

confidence: 75%

Section: Example 1: Micro Electro Discharge Milling Processmentioning

confidence: 99%

Parameter selection in non-traditional machining processes using a data mining approach

Dey¹,

Chakraborty²

2015

10.5267/j.dsl

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“…Muthuramalingam and Mohan [19] described the influence of input parameters such as discharge current, voltage and duty factor to study MRR and surface roughness. Mehfuz and Ali [20] investigated the effect of feed, gap voltage and capacitance on µED milling of Beryllium-copper on surface roughness, tool wear ratio and material removal rate. The developed models were used for multi-response optimization based on desirability function approach and observed a maximum desirability of 88%.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigations into the Effects of Microelectric-Discharge Milling Process Parameters on Processing Ti–6Al–4V

Kuriachen

Mathew

2014

Materials and Manufacturing Processes

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Micro electric discharge milling is acquiring more importance in micro manufacturing because of its unique ability to produce three dimensional micro cavities with high aspect ratio in electrically conductive advanced materials regardless of its mechanical properties. The present study investigates the effects of major micro electric -discharge milling process variables (Voltage (V), Capacitance(C), electrode rotational speed (ERS) and feed rate (FR)) on Ti-6Al-4V. The output performance measures were identified as material removal rate (MRR) and tool wear rate (TWR) to assess the machinability of Ti-6AL-4V. Experiments were designed and carried out based on response surface methodology-Box Behnken statistical design. The most influencing parameters for responses (MRR, TWR) were found to be capacitance and feed rate. At a capacitance of 0.4 µF and feed rate of 18 mm/min, maximum MRR of 0.9756 mg/hr and TWR of 0.6342 mg/hr were observed. Similarly at 0.01 µF and 6mm/min, minimum MRR of 0.2308 mg/hr and TWR of 0.1259 mg/hr were obtained. Downloaded by [UNAM Ciudad Universitaria] at 20:25 25 December 2014 2

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“…The type of dielectric fluid used also has significant effect on TWR. When kerosene is used as a dielectric fluid in EDM process a carbide layer is formed on the work piece material which needs higher energy for melting and evaporation as a result Tool wear [20]. It can be concluded that TWR is mostly influenced by capacitance and discharge voltage interaction, followed by the interaction of discharge voltage and electrode material.…”

Section: Effect Of Input Parameters On Twrmentioning

confidence: 99%

Investigation of Process Parameters in Micro -EDM Machining

Babu.T¹,

.Ravishankar²,

Koorapati³

2014

IJIRSET

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ABSTRACT:Micro-EDM is a newly developed method to produce micro parts which in the range of 50-100µm.It is an efficient machining processes for the fabrication of a micro -metal hole with various advantages resulting from its characteristics of non-contact and thermal processes. In this paper the Taguchi design approach has been employed to investigate the micro -EDM parameters in order to achieve the highest Material Removal Rate (MRR), good surface quality and low Tool Wear Rate(TWR) while machining Ni-Ti based Shape Memory Alloy (SMA),it has been observed that MRR is highly influenced by capacitance , discharge voltage and depends up on the electrode material .Tungsten electrode is recommended for better surface roughness and brass electrode for better MRR.

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Investigation of machining parameters for the multiple-response optimization of micro electrodischarge milling

Cited by 41 publications

References 17 publications

Parameter selection in non-traditional machining processes using a data mining approach

Parameter selection in non-traditional machining processes using a data mining approach

Experimental Investigations into the Effects of Microelectric-Discharge Milling Process Parameters on Processing Ti–6Al–4V

Investigation of Process Parameters in Micro -EDM Machining

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