Optimization of Electro Discharge Machining Process Parameters With Fuzzy Logic for Stainless Steel 304 (ASTM A240)

Ubaid, Alaa M.; Dweiri, Fikri; Aghdeab, Shukry H.; Al-Juboori, Laith Abdullah

doi:10.1115/1.4038139

Cited by 32 publications

(7 citation statements)

References 48 publications

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“…The response tables for MRR, EWR and WR are given in Tables (8)(9)(10)(11)(12)(13). It is verified from Table 8 that Toff has the maximum effect as compared to the I and Ton of the copper electrode.…”

Section: Resultsmentioning

confidence: 99%

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Optimization the Effect of Electrode Material Change on EDM Process Performance Using Taguchi Method

Aghdeab

Abdulameer

et al. 2020

alkej

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Electrical Discharge Machining (EDM) is a widespread Nontraditional Machining (NTM) processes for manufacturing of a complicated geometry or very hard metals parts that are difficult to machine by traditional machining operations. Electrical discharge machining is a material removal (MR) process characterized by using electrical discharge erosion. This paper discusses the optimal parameters of EDM on high-speed steel (HSS) AISI M2 as a workpiece using copper and brass as an electrode. The input parameters used for experimental work are current (10, 24 and 42 A), pulse on time (100, 150 and 200 µs), and pulse off time (4, 12 and 25 µs) that have effect on the material removal rate (MRR), electrode wear rate (EWR) and wear ratio (WR). A Minitab software environment was used to adopt Taguchi method to analyze the effect of input on output parameters of EDM. The results of the present work showed that the best of MRR in copper and brass electrodes with (current 42 A, pulse on time 100 µs and pulse off time 25 µs) are (84.355×10-3 g/min) and (43.243×10-3 g/min) respectively, and the MRR predicted by Taguchi are (86.1751×10-3 g/min) in copper electrode by using the parameters with (current 10 A, pulse on time 200 µs and pulse off time 25 µs) and (43.2979×10-3 g/min) in brass electrode at current 42 A, pulse on time 100 µs, and pulse off time 25 µs. The lowest EWR occurs with a value of (1.4510×10-3 g/min) with (current 10 A, pulse on time 100 µs, pulse off time 4 µs) variables when using a copper electrode. The highest WR (2.602508) was found for the brass electrode with (current 24 A, pulse on time 200 µs, pulse off time 4 µs) variables.

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Section: Resultsmentioning

confidence: 99%

“…Figs. (9)(10)(11)(12)(13)(14) shows the main effect curve of MRR on current and pulse on at copper and brass electrodes.…”

Section: Resultsmentioning

confidence: 99%

Optimization the Effect of Electrode Material Change on EDM Process Performance Using Taguchi Method

Aghdeab

Abdulameer

et al. 2020

alkej

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“…The effect of the variation in input parameters, pulse-on time (T ON ), pulse-off time (T OFF ) and pulsed current (I P ) on the MRR and surface roughness (R a ), was studied. Based on available literature, practical experience and trial and error method, the input parameter was selected [25][26][27][28][29].…”

Section: Methodsmentioning

confidence: 99%

Multi-objective optimization of some correlated process parameters in EDM of Inconel 800 using a hybrid approach

Paul

Saha

Majumder

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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Electrical discharge machining (EDM) is an extensively used non-traditional machining process used for conductive materials to get intricate or complex shapes. For any manufacturing industry, optimum parameters of control variables are of sheer importance to improve multiple performance characteristics like surface integrity and productivity. This paper presents multi-objective optimization on the basis of ratio analysis (MOORA) method coupled with principal component analysis (PCA) in order to achieve the optimal combination of EDM parameters. In this research work, response surface methodology was used for designing the experiments considering three input parameters, namely pulse-on time, pulse-off time and pulsed current. All the experiments were conducted at different parametric combinations and the performance, namely material removal rate (MRR) and surface roughness (R a). Proposed MOORA-PCA hybrid results and conventional MOORA results were compared, and it is found that proposed methods are accurate for predicting the responses. Finally, the control variables, namely pulse-on time (T ON), pulse-off time (T OFF) and pulsed current (I p), were set to 300 µs, 85 µs and 18 A, respectively, to get maximum MRR and minimum surface roughness.

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“…SR was observed to be best when both qualities were low. Ubaid et al (2018) [50] evaluated optimization EDM input parameters when machining SS 304 (ASTM A240). Signal-to-noise ratio was determined for each one of performance measures and then multi response performance index was generated using fuzzy logic inference system.…”

Section: Studies On Electrical Discharge Machiningmentioning

confidence: 99%

Optimization of Process Parameters of Electrical Discharge Machining Process For Performance Improvement

Khan¹,

Rao²

2019

IJITEE

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Unconventional machining methods are used where conventional techniques are unachievable, inacceptable or cost ineffective. Number of unconventional techniques has been developed to achieve special machining conditions. When these methods are engaged properly, they provide several benefits over conventional methods. High strength alloys can be machined easily, complicated contours and difficult geometries with close tolerances and better surface topograph can be developed using unconventional processes. One of the most popular unconventional machining methods is electrical discharge machining. In this paper, the detailed investigation has carried out to give an insight into the progression of research in the domain of spark machining and optimizing important process variables of this type of machining. It has been found from the available literature that optimization of process parameters of electrical discharge machining can improve machining performance pertaining to material removal and surface finish. Identifying the research gaps and are presented under the heading analysis and discussion. Conclusions drawn from this work will be useful in carrying out research in the sphere of unconventional EDM.

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Optimization of Electro Discharge Machining Process Parameters With Fuzzy Logic for Stainless Steel 304 (ASTM A240)

Cited by 32 publications

References 48 publications

Optimization the Effect of Electrode Material Change on EDM Process Performance Using Taguchi Method

Optimization the Effect of Electrode Material Change on EDM Process Performance Using Taguchi Method

Multi-objective optimization of some correlated process parameters in EDM of Inconel 800 using a hybrid approach

Optimization of Process Parameters of Electrical Discharge Machining Process For Performance Improvement

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