Modeling and analysis of micro-WEDM process of titanium alloy (Ti–6Al–4V) using response surface approach

Sivaprakasam, P.; Hariharan, P.; Gowri, S.

doi:10.1016/j.jestch.2014.06.004

Cited by 64 publications

(30 citation statements)

References 22 publications

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“…At the end, kerf width is just about linearly proportional to the thickness of the material. Kerf measures the width of material that is removed by a cutting process and further determines the dimensional accuracy of the finished component [24]. During the cutting process, the wire gap varies due to the electrode deflection and spark which may lead to a variation in kerf width.…”

Section: Kerf Widthmentioning

confidence: 99%

“…Optimization techniques such as design of experiments [9], response surface methodology [10][11][12], fuzzy control system [13][14][15][16][17], genetic algorithm [18] and grey relational analysis [19] are the inevitable tool in achieving optimum process parameters of the wire EDM process. A similar kind of evaluation has also been performed by many researchers on various materials like Inconel [20,21], AISI D2 [22,23], titanium and titanium super alloys [24][25][26][27], etc. Based on the evaluation of those research papers on wire EDM, it has been seen that different attempts are made on the investigations of predicting the effect of process parameters on various conductive materials for achieving maximum material removal rate (MRR), minimum surface roughness (Ra) and wire wear ratio (WWR) on wire EDM and they were found useful.…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS

Rajmohan¹,

Kumar²

2016

Int J Adv Manuf Technol

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Micro-wire-cut electrode discharge machining (EDM) is an emerging manufacturing process in the field of micro-manufacturing to fabricate the complex profiles of micro-components. It is a complex process involving various process parameters such as pulse on time, pulse off time, wire speed, wire tension and current. In addition to micro-fabrication, this process can also be extended in the field of tool design and developments such as dies, moulds, precision manufacturing, contour cutting, etc., where complex shapes need to be generated with high-grade dimensional accuracy and surface finish. In this research work, an attempt is made to investigate the effect of process parameters on the output variables such as material removal rate (MRR), surface finish and the cutting width (kerf) of wire-cut EDM for duplex stainless steel (DSS). Scanning electron microscopy (SEM) has been used to capture the images of the kerf width, and the measurements are taken with the help of the welding expert system and software. An optimization technique (Taguchi method) has been employed to identify the optimum parameters of the micro-wire-cut EDM process for cutting 2205 grade duplex stainless steel. The effect of each control parameter on the performance measure is studied individually using the plots of signal to noise ratio.

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Section: Kerf Widthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS

Rajmohan¹,

Kumar²

2016

Int J Adv Manuf Technol

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“…As of late, the looks into in WEDM demonstrated that aluminum composites gives magnificent reactions in machining application [15]. Thus, associated to current review, an endeavour was performed in exploring the process parameters impact on the reactions like MRR and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Multi Response Optimization of WEDM Process of AA7075 Metal Matrix Composites Using Particle Swarm Optimization

Ramanan¹,

John²

2017

IJIES

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Abstract:Wire electric discharge machining (WEDM) has turned out to be one of the well-known machining procedures utilized in bringing up elaborate aspects on electrically conductive substances. To improve the performance of WEDM process an attempt was made to improve the material removal rate (MRR) and minimize surface roughness (SR) on AA7075-activated carbon composites. The machined surface integrity associated with MRR and SR have been analysed as a function of processing parameters, such as discharge current, pulse on time, pulse off time and servo speed rate. Analysis of variance (ANOVA) is carried out in the idea of identifying tremendous causes of parameters. Experimental outcome authorize the feasibility of proposed prediction strategy and the developed particle swarm optimization (PSO) algorithm. Experiment result indicates that the MRR and SR are more sensitive to a change in size than a change in volume fraction of reinforcement. AA7075-activated carbon composites have extensive applications in aerospace and marine sectors.

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“…The experiment is conducted with negative electrode potential and according to the L18 Orthogonal Array from Taguchi method and studied the effects of process parameters on EDM performance characteristics namely, Metal Removal Rate (MRR) and Tool Wear Rate (TWR). P. Sivaprakasam et al [10] investigated the influence of three different input parameters such as voltage, capacitance and feed rate of micro-wire electrical discharge machining (micro-WEDM) performances of material removal rate (MRR), Kerf width (KW) and surface roughness (SR) on titanium alloy (Ti6Al-4V) using response surface methodology (RSM) with central composite design (CCD) and Analysis of variance (ANOVA) was used to find out the significant influence of each factor. Found the significant machining results of material removal rate, Kerf width and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Micro WEDM Process Parameters for Machining on TI-6AL-4V Alloy

2016

IJSR

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This works presents the experimental investigation to determine the optimum parametric setting for the effective and efficient machining of Ti-6Al-4V alloy by using of Wire EDM process. The Taguchi method, a statistical method for experimental design, has been used to optimize the WEDM process parameters. An L 25 orthogonal array was used to determine the S/N ratio, based on Taguchi quality design Concept, so as to indicate the significant machining parameters affecting the machining performance i.e. Material removal rate, and Surface roughness. The machining results were obtained by variation of Duty cycle at five different levels (30,40,50,60 and 70%), wire tension at five different levels (3,6,9,12 and 15kg-f) , peak current at five different levels (50,75,100,125 and 150A), and wire feed at five different levels (5,6,7,8 and 9mm/min.). It is noted that the maximum mean of material removal rate (MRR) is 59.06mm 3 /min and the minimum mean of surface roughness (SR) is 1.234 Ra. The optimum combination parameters for higher MRR are Duty cycle 70%, wire tension 3 kg-f , peak current 125 A, and wire feed rate 5 mm/min. The optimum combination parameters for lower surface roughness are Duty cycle 30%, wire tension 6 kg-f , peak current 125 A, and wire feed rate 8 mm/min.

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Modeling and analysis of micro-WEDM process of titanium alloy (Ti–6Al–4V) using response surface approach

Cited by 64 publications

References 22 publications

Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS

Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS

Experimental Investigation and Multi Response Optimization of WEDM Process of AA7075 Metal Matrix Composites Using Particle Swarm Optimization

Optimization of Micro WEDM Process Parameters for Machining on TI-6AL-4V Alloy

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