Process Parameters Optimization of Wire EDM on AISI 304 Using the Taguchi Method

Kumar, Vidyanand; Kharub, Manjeet; Kumar, Ramayya; Rakesh, Pawan Kumar

doi:10.1007/978-981-33-4018-3_34

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…The original sequence is normalized as follows for the "the-smaller the-better" feature. (14) The second step was to calculate the grey relation coefficient (GC), which was utilized to find the link between the optimum and the actual normalized output results. In particular, equation ( 2) was used for this calculation.…”

Section: Selection Of Process Parameters and Experiments Of Designmentioning

confidence: 99%

“…The Grey relational grade is produced using the following connection once the grey relational coefficients have been calculated. (14) , where ∑ k=1 n β k =1…”

Section: Selection Of Process Parameters and Experiments Of Designmentioning

confidence: 99%

“…Particularly, the Grey relational analysis is a measurement of the absolute value of data difference between the sequences that may be used to approximate correlation. (14)…”

Section: Selection Of Process Parameters and Experiments Of Designmentioning

confidence: 99%

See 2 more Smart Citations

Multi Responses Optimization of Wire Electrical Discharge Machining (WEDM) Parameters of Tool Steel Using Grey Relation Analysis

Anwar,

Shather,

Khudhir

2024

Salud, Ciencia y Tecnología - Serie de Conferencias

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The aim of this work is to study the effects of several wire electrical discharge machining (WEDM) process parameters, such as the servo voltage (SV), the pulse on time (TON), and the pulse off time (TOFF) on the surface finish (SR) and the kerf width (KW) of stainless steel 304 as a workpiece material. A multi-responses optimization approach based on Grey relational analysis has been designed, and it was discovered that the main affecting factor is the pulse on time followed by the servo voltage. According to the data, the grey relation analysis (GRA) grade for the second trial, including (a servo voltage of 14V, a pulse on time of 100µs, and a pulse off time of 45µs), was the optimum combination of settings that may concurrently optimize all of the specified response qualities. By utilizing the regression analysis, the mathematical equations illustrating the link between the input parameters and the responses have been established. In particular, the findings of this article will assist manufacturing engineers in selecting an optimal set of process parameters for machining stainless steel (SS304) grade.

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Section: Selection Of Process Parameters and Experiments Of Designmentioning

confidence: 99%

“…The Grey relational grade is produced using the following connection once the grey relational coefficients have been calculated. (14) , where ∑ k=1 n β k =1…”

Section: Selection Of Process Parameters and Experiments Of Designmentioning

confidence: 99%

See 1 more Smart Citation

Multi Responses Optimization of Wire Electrical Discharge Machining (WEDM) Parameters of Tool Steel Using Grey Relation Analysis

Anwar,

Shather,

Khudhir

2024

Salud, Ciencia y Tecnología - Serie de Conferencias

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Effects of current intensities on material removal rate, electrode wear rate, and surface roughness of machining high carbon high chromium steel

Rakesh,

Gupta,

Mahto

et al. 2024

Materialwissenschaft Werkst

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The electrical discharge machining is very successful and generally recognized for producing complicated shapes and small openings with exceptional precision. The objective of this study is to assess the impact of different electrical discharge machining parameters on the attributes of the machining process. The evaluation of the machining process was conducted based on the workpiece‘s material removal rate, the rate at which the electrodes wear, and the level of surface roughness. Simultaneously achieving a high material removal rate, low electrode wear rate, and high surface roughness is not possible with a specific combination of approaches due to their contradicting nature. Frequently, it is necessary to independently apply many measures instantaneously in order to assess their impact on various responses. This research investigates the machining of high carbon high chromium steel making use of electrical discharge machining with aluminum, copper, and graphite electrodes. The study focuses on the impact of different current intensities on the rate of material removal, electrode wear, and surface roughness. The experimental results demonstrate that the highest material removal rate (mmcubicmin−1) is achieved at a current density of 12 A when using a copper electrode (54.67), as opposed to aluminum electrode (22.91) and graphite electrode (29.43).

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Machinability investigations through novel controlled flushing characteristics in wire electric discharge machining of M42 high-speed steel

Ehsan

Rehman

Mughal

et al. 2022

Int J Adv Manuf Technol

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Process Parameters Optimization of Wire EDM on AISI 304 Using the Taguchi Method

Cited by 4 publications

References 6 publications

Multi Responses Optimization of Wire Electrical Discharge Machining (WEDM) Parameters of Tool Steel Using Grey Relation Analysis

Multi Responses Optimization of Wire Electrical Discharge Machining (WEDM) Parameters of Tool Steel Using Grey Relation Analysis

Effects of current intensities on material removal rate, electrode wear rate, and surface roughness of machining high carbon high chromium steel

Machinability investigations through novel controlled flushing characteristics in wire electric discharge machining of M42 high-speed steel

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