Parametric analysis and GRA approach in WEDM of Al 7075 alloy

Mandal, K.; Sarkar, Subhasish; Mitra, S.; Bose, D. N.

doi:10.1016/j.matpr.2019.12.361

Cited by 12 publications

(4 citation statements)

References 12 publications

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“…Using the equations of the loss function to obtain the S/N ratio values for the output responses of the MRR, SR, and KW, with greater values for the MRR and smaller values for the SR and KW, this could then be normalized as follows. In terms of the MRR (the higher-the-better kind of problem) [44],…”

Section: Normalizationmentioning

confidence: 99%

Experimental Investigation into the Influence of the Process Parameters of Wire Electric Discharge Machining Using Nimonic-263 Superalloy

et al. 2023

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Nimonic alloy is difficult to machine using traditional metal cutting techniques because of the high cutting forces required, poor surface integrity, and tool wear. Wire electrical discharge machining (WEDM) is used in a number of sectors to precisely machine complex forms of nickel-based alloy in order to attempt to overcome these challenges and provide high-quality products. The Taguchi-based design of experiments is utilized in this study to conduct the tests and analyses. The gap voltage (GV), pulse-on time (Ton), pulse-off time (Toff), and wire feed (WF), are considered as the variable process factors. GRA is used for the WEDM process optimization for the Nimonic-263 superalloy, which has multiple performance qualities including the material removal rate (MRR), surface roughness (SR), and kerf width (KW). ANOVA analysis was conducted to determine the factors’ importance and influence on the output variables. Multi objective optimization techniques were employed for assessing the machining performances of WEDM using GRA. The ideal input parameter combinations were determined to be a gap voltage (GV) of 40 V, a pulse-on time (Ton) of 8 µs, a pulse-off time (Toff) of 16 µs, and a wire feed (WF) of 4 m/min. A material removal rate of 8.238 mm3/min, surface roughness of 2.83 µm, and kerf width of 0.343 mm were obtained. The validation experiments conducted also demonstrated that the predicted and experimental values could accurately forecast the responses.

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Section: Normalizationmentioning

confidence: 99%

Experimental Investigation into the Influence of the Process Parameters of Wire Electric Discharge Machining Using Nimonic-263 Superalloy

et al. 2023

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“…The Taguchi method L16 OA and MOGA has been adopted for machining process optimization. In addition to AA7075, Mandal et al [22,23] optimized the seven effective parameters of WEDM for VC, corner error and SR by applying Taguchi's techniques, GRA and 3D surface topography for evaluating the features of the machined surfaces.…”

Section: Introductionmentioning

confidence: 99%

Investigation of aluminum alloy 6061 in Wire-EDM regarding surface roughness and material removal rate by adopting optimization techniques

Saif

Rawat

2023

JMES

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Wire-electric discharge machining offers a number of benefits in comparison to traditional manufacturing processes likewise, no obvious mechanical cutting traces also hard and rigid materials can be processed perfectly in WEDM. Since, aluminum alloys are used in aerospace, shipbuilding, breathing gas cylinders for scuba diving, surgical components and automotive industry for their high-strength-to-weight ratio, accurate shapes and dimensions. Through this method, complicated structures made of aluminum alloy are produced in a single setup with incredibly tight tolerances. The present investigation explores WEDM for AA6061 to optimize different process variables for attaining performance measures in terms of maximum MRR and minimum SR. Taguchi’s L18 OA matrix, S/N ratio, ANOVA and Grey Relational Analysis were employed to optimize SR and MRR. It has been noted from ANOVA that pulse on time and peak current are the most influential aspects for MRR and SR with their contributions of 13.33% and 16.25% respectively. Further, the best possible considered parameters setting has been established by applying GRA for MRR and SR are, pulse on time-50µs, pulse off time-13µs and peak current-4 amp.

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“…Selvakumar et al [23] optimized the WEDM parameters of machining 5083 Al alloy, such as pulse on time, pulse off time, peak current, and wire tension using Taguchi design (L9 orthogonal array) for responses such as maximum cutting speed and minimum surface roughness. Mandal et al [24] utilized Taguchi grey relational analysis method to optimize the machining parameters of WEDM against Al 7075 alloy. The WEDM input parameters, such as pulse on and pulse off times, FP, and applied voltage were studied to analyze the responses, such as machining speed and corner inaccuracy.…”

Section: Introductionmentioning

confidence: 99%

Parameter optimization for wire-cut electrical discharge machining of stir cast AA6063 alloy/SiC (black and green) using Taguchi method with grey relational analysis

Kumar¹,

Prasanna²

2022

Materials Science-Poland

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The present investigation aimed to determine the optimal parameters for wire-cut electrical discharge machining (WEDM) for stir cast aluminum alloy AA6063 at 850°C reinforced with 10 wt.% green SiC (SiC g ) and black SiC (SiC b ) particles. The WEDM machining parameters, such as pulse on time (TON ), wire feed (WF) rate, and flushing pressure (FP) of the resultant stir cast AA6063/SiC b and AA6063/SiC g composites, were optimized using the Taguchi method with L9 orthogonal array to estimate the responses, such as surface roughness and metal removal rate. Further, through grey relational analysis, the finest parameters for WEDM of AA6063/SiC b and AA6063/SiC g composites were evaluated as TON = 50 μs, WF rate = 18 m/min, and FP = 3 MPa. With the optimum parameters obtained, conformational experiments were conducted, and the scanning electron microscopic images were recorded, along with the energy-dispersive X-ray (EDX) spectroscopic data of the worn surfaces and debris. From the EDX mapping images of the machined surface, it was evident that AA6063/SiC b displays a more polished surface than AA6063/SiC g . However, for applications requiring a high metal removal rate, AA6063/SiC g displays better results than AA6063/SiC b .

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Parametric analysis and GRA approach in WEDM of Al 7075 alloy

Cited by 12 publications

References 12 publications

Experimental Investigation into the Influence of the Process Parameters of Wire Electric Discharge Machining Using Nimonic-263 Superalloy

Experimental Investigation into the Influence of the Process Parameters of Wire Electric Discharge Machining Using Nimonic-263 Superalloy

Investigation of aluminum alloy 6061 in Wire-EDM regarding surface roughness and material removal rate by adopting optimization techniques

Parameter optimization for wire-cut electrical discharge machining of stir cast AA6063 alloy/SiC (black and green) using Taguchi method with grey relational analysis

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