Effect of Electrode Materials on Electric Discharge Machining of 316 L and 17 - 4 PH Stainless Steels

Gopalakannan, S.; Senthilvelan, T.

doi:10.4236/jmmce.2012.117053

Cited by 23 publications

(13 citation statements)

References 13 publications

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“…Increased surface roughness means that larger and deeper craters are formed on the surface of the workpiece. Otherwise, the forming of a small crater on the surface of the workpiece produces a better surface (Gopalakannan & Senthilvelan, 2012).…”

Section: Discussionmentioning

confidence: 99%

Optimization of Surface Roughness of AISI P20 on Electrical Discharge Machining Sinking Process using Taguchi Method

Rachman¹,

Purnomo²,

Fajardini³

et al. 2021

JTAM

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This research aims to obtain optimal value for the surface roughness of the material AISI P20 on the Electrical Discharge Machining (EDM) Sinking process. In the present research, the Taguchi method is used to investigate the signiﬁcant influence of process variables on the machining performance and determine the combination of process variables on the EDM process. Orthogonal array L18 (21 × 33) based on the Taguchi method is chosen for the design of experiment. The experiment is replicated twice to finding out the influence of four process variables such as type of electrode, voltage gap, on-time, and off-time on the response performance. Machining performance is evaluated by surface roughness as a response variable that had quality characteristics, smaller is better. These experimental data were analyzed using the Signal-to-noise ratio and Analysis of Variance. The analysis results show that the surface roughness is influenced by the type of electrode and on time. Combination of process variables to obtain optimal surface roughness are using graphite electrodes, and setting values of gap voltage 40 volt, on-time 250 μs, and off-time 20 μs. This combination of process variables can be applied to the manufacturing process using EDM sinking in order to produce a good quality product that determined based on the surface roughness value.

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Section: Discussionmentioning

confidence: 99%

Optimization of Surface Roughness of AISI P20 on Electrical Discharge Machining Sinking Process using Taguchi Method

Rachman¹,

Purnomo²,

Fajardini³

et al. 2021

JTAM

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show abstract

“…It was also reported that EW of copper electrode is directly proportional to pulse current because of its low melting point, whereas EW of copper tungsten electrode is low because of its high resistance to spark. The copper tungsten electrode offers more desirable surface finish over graphite electrode [52].…”

Section: Methods Of Improving Tool Wear Ratementioning

confidence: 99%

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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“…A full factorial design was performed to calculate the MRR and EWR values. The levels of the three machining parameters were Ton, Toff and Ip, as shown in table (4). The design of experiments involves three parameters and three levels (3 3 ) which the number of experiments is 27 experiments, as shown in table (5).…”

Section: Design Of Experimentsmentioning

confidence: 99%

“…Also, non-conductive materials can be machined successfully by using EDM technique [3]. The very hard and brittle materials can be easily machined and also to the required shape [4]. EDM differs from most traditional machining operations that it does not make physical contact between the tool and workpiece, eliminating mechanical stresses, vibration and chatter problems during machining [2,5].…”

Section: Introductionmentioning

confidence: 99%

Effect of Pulse on Time and Pulse off Time on Material Removal Rate and Electrode Wear Ratio of Stainless Steel AISI 316L in EDM

Aghdeab¹,

Ahmed²

2016

ETJ

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The electrical discharge machining (EDM) is one of the non-traditional cutting processes, used in many important applications such as dies and auto industry. This thesis focuses on the study of machining responses such as material removal rate (MRR) and electrode wear ratio (EWR) under the effect of different machining conditions in EDM process. The process parameters are pulse on time (Ton), pulse off time (Toff) and electrical current (Ip). The main purpose of this work is to achieve best MRR and least EWR using copper electrode with fixed diameter (10 mm) for the machining of stainless steel AISI 316L with a constant thickness (0.8 mm). Different values for the Ton (25, 50 and 75) µs, Toff (9, 18 and 25) µs and Ip (16, 30 and 50) A were used. The results of experiments showed the main effects of machining conditions on MRR and EWR. Where, the MRR increased with increasing the Ton, MRR decreased with increasing the Toff and MRR increased with increasing Ip. While, the EWR decreased with increasing the Ton, EWR decreased with increasing Toff until access to a specific Toff then EWR increased with longer Toff and EWR increased with increasing Ip. The maximum MRR is (48.16 mm 3 /min) at Ton (75 µs), Toff (9 µs) and Ip (50 A) and minimum EWR is (0.179 %) at Ton (75 µs), Toff (9 µs) and Ip (16 A). The results showed that the response surface methodology (RSM) that have been performed using Minitab 17 software. It can predict the machining responses with a good accuracy where it gave the coefficient of determination (R-sq) that determines the degree of fit between the experimental and predicted data. Higher value of R-sq shows a better fit. The values of R-sq are (97.46 %) for the MRR and (96.34 %) for EWR. Also, the SPSS 18 software was used to predict the machining responses with a good accuracy ` E

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Effect of Electrode Materials on Electric Discharge Machining of 316 L and 17 - 4 PH Stainless Steels

Cited by 23 publications

References 13 publications

Optimization of Surface Roughness of AISI P20 on Electrical Discharge Machining Sinking Process using Taguchi Method

Optimization of Surface Roughness of AISI P20 on Electrical Discharge Machining Sinking Process using Taguchi Method

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

Effect of Pulse on Time and Pulse off Time on Material Removal Rate and Electrode Wear Ratio of Stainless Steel AISI 316L in EDM

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