Optimization of Electric Discharge Machining Process Parameters for H13 Steel by Using Taguchi Method

Ghayatadak, Mahendra M.; Bhandare, Amar S.

doi:10.1007/978-981-13-6412-9_51

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…As they investigate another trend that was noted was that MRR increased whenever the value of the current was enhanced. (Ghayatadak, 2018) Concentrated on achieving optimal operating parameters of electrical discharge machining (EDM) in relation to the machining of H13 steel. The parameter evaluated was peak current, pulse interval, and breakdown voltage.…”

Section: A Concise Overview Of the Literature Is Presented As Followsmentioning

confidence: 99%

Parametric Study of Die Sinking EDM of H13 Steel using Taguchi Techniques

2024

jame

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As for H13 die steel, it is distinguished by a high hardness and a unique surface characteristics that must be created during machining using non-standard methods. One of such non conventional manufacturing techniques involving the use of Electrical Discharge Machining (EDM) for machining complex or hard material parts. It indicates that EDM has progressed from a series of a tool and die process to an alternative micro-scale application machining process. The paper is aimed at elaborating mathematical models defining the link between the MRR and SR to measured input parameters (current, pulse-on time, pulse-off time, and Reference voltage) in hot work steel EDM. With a L9 orthogonal involving four variables at three levels were used. The values of the model quality factors analyzed by the ANOVA procedure show that the selected mathematical models describe the process performance within successfully studied range with high level of precision. To determine the optimal condition, Taguchi method was used to measure the performance impact of different process parameters and find out best mixing. Minitab V 21 software has been used for the analysis and explanations. A good agreement between experimental value and the predicted one was found.

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Section: A Concise Overview Of the Literature Is Presented As Followsmentioning

confidence: 99%

Parametric Study of Die Sinking EDM of H13 Steel using Taguchi Techniques

2024

jame

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“…Followed with the element C-bar was calculated as 0.56, it was the ratio of total concordance value of all the elements to the number of non-zero element in the matrix which was determined as 18. If the value of the concordance element was greater than C-bar, the value one was entered into the concordance matrix C ij ; otherwise, the value zero was entered as in equation (10).…”

Section: Moora-electree Integrated Optimization Technique (Meiot)mentioning

confidence: 99%

“…Discharge current, pulse on time, pulse off time, voltage, electrode polarity and gap distance are the distinct process parameters of EDM [8,9]. Current and pulse on time are the most influential process parameters which impacts the machining quality of the product [10]. Machining under positive polarity condition results in highest Material Removal Rate (MRR) and negative polarity offers yields best surface quality (R a ) [11].…”

Section: Introductionmentioning

confidence: 99%

Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V

Ranjith¹,

Pytenkar

Ramu

2021

Surf. Topogr.: Metrol. Prop.

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In this research work, an attempt was made to machine Ti6Al4V titanium alloy utilizing AA6061/10Gr composite tool. The composite tool was fabricated using stir casting technique and Al2O3 particles of size 5µm were incorporated in the dielectric fluid to enhance the machining performance. Experiments were conducted by varying Al203 concentration, pulse on time, current, and pulse off time, and the responses Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (Ra) were recorded. Experiments runs were planned using Taguchi orthogonal array. The results revealed that adding powder increases MRR and TWR owing to the excessive heat generation and bridging effect respectively. The best surface finish was attained due to the increase in spark gap and complete flushing of machined debris. Coating of materials over the machined specimen was observed when the parametric value of Ton was higher than 60s under PMEDM conditions. Pits, craters and cracks were observed on the machined topography which was eliminated when 5g/l of Al2O3 particles were added to dielectric fluid. MEIOT technique was utilized for optimization and it was observed that Ton 15µs, Toff 4µs and current 7A and powder concentration of 10g/l results in best machining performance.

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“…Electrical discharge machining (EDM) provides many advantages in the processing of specially shaped workpieces, irrespective of material strength or hardness [1]. The effectiveness of EDM is independent of the mechanical properties of the workpiece [2].…”

Section: Introductionmentioning

confidence: 99%

Taguchi Optimization of Multiple Performance Characteristics in the Electrical Discharge Machining of the Tigr2

Akincioğlu

2022

FU Mech Eng

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Electrical discharge machining (EDM) provides many advantages for the shaping of metallic materials. It also provides better surface quality for Ti alloys used in the defense industry. In this study, experiments were carried out with different EDM parameters using the Titanium (Gr2) alloy. A number of novel industrial processes have been developed as a result of advances in technology. For a product to be developed, these novel approaches must be utilized to determine optimum parameters. The Taguchi method was applied in the experiments with EDM. The impact the test parameters had on the performance characteristics of tool wear rate, material removal rate, depth, and surface roughness were analyzed by the variance analysis (ANOVA). Quadratic regression analyses were carried out to reveal the correlation between the experimental results and the predicted values. According to the ANOVA results for material removal rate (MRR), tool wear rate (TWR), depth, and surface roughness, the most effective factor was amperage, at 99.66%, 99.56%, 87.95%, and 81.12%, respectively. The best value for average surface roughness was determined to be 3.29 µm obtained at 120 μs time-on, 8 A, and 40 μs time-off.

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Optimization of Electric Discharge Machining Process Parameters for H13 Steel by Using Taguchi Method

Cited by 5 publications

References 9 publications

Parametric Study of Die Sinking EDM of H13 Steel using Taguchi Techniques

Parametric Study of Die Sinking EDM of H13 Steel using Taguchi Techniques

Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V

Taguchi Optimization of Multiple Performance Characteristics in the Electrical Discharge Machining of the Tigr2

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Optimization of Electric Discharge Machining Process Parameters for H13 Steel by Using Taguchi Method

Cited by 5 publications

References 9 publications

Parametric Study of Die Sinking EDM of H13 Steel using Taguchi Techniques

Parametric Study of Die Sinking EDM of H13 Steel using Taguchi Techniques

Influence of Al203 particle mixed dielectric fluid on machining performance of Ti6Al4V

Taguchi Optimization of Multiple Performance Characteristics in the Electrical Discharge Machining of the Tigr2

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Product

Resources

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Influence of Al₂0₃ particle mixed dielectric fluid on machining performance of Ti6Al4V