Experimental Investigation on Surface Roughness in Electrical Discharge Turning of Ti-6Al-4V Alloy

Gohil, Vikas; Puri, Y. M.

doi:10.21278/tof.40401

Cited by 10 publications

(5 citation statements)

References 16 publications

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“…[17] investigated the effect of the process variables and WP diameter on the CWEDT process. [18,19] performed an experimental investigation on EDT of Titanium alloy, the results indicate that MRR is affected the most by peak current -I peak ‖, T on , and V. And R a has a direct proportional relationship with I peak , and T on while R a has an inverse proportional relationship with the duty factor. [20] improved a real-time energy monitoring system to improve the performance and efficiency of the WEDM process by monitoring the transient state of the process.…”

Section: Literature Reviewmentioning

confidence: 99%

An Experimental Study for surface roughness of M42 HSS resulted from wire electrical discharge turning

Soliman,

Mahdy,

Sayed

2024

Engineering Research Journal (Shoubra)

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Axisymmetric cutting processes are developing very fast nowadays, this development involves cutting harder materials which is not achievable by traditional ways, wire electrical discharge turning -WEDT‖ is a non-traditional cutting technique that is used to cut cylindrical formed workpieces on difficult-to-cut materials. In this research, the Surface roughness -R a ‖ of the machined parts was studied concerning changing some of the machining variables (wire feed ‗W f ', workpiece rotational speed ‗ω wp ', and pulseon time ‗T on '). The study was performed on AISI M42 HSS steel, using a CNC WEDM machine, with the assistance of a welldesigned spindle to enable the manufacturing of the cylindrical geometry. An L 9 (3 x 3) Taguchi standard orthogonal array was chosen for designing the experiments, the analysis for the results was done using ANOVA to get the most significant factor on R a , and regression analysis was used to define the relationship between involved process variables and R a .

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Section: Literature Reviewmentioning

confidence: 99%

An Experimental Study for surface roughness of M42 HSS resulted from wire electrical discharge turning

Soliman,

Mahdy,

Sayed

2024

Engineering Research Journal (Shoubra)

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“…B MS is the sum of mean squares of the model; W MS is the sum of mean squares of the residual difference; F -value is the data for the determination of the model. The coefficient of determination 2 R of the model and the coefficient of determination 2 R (adj) after model adjustment can be found using formulas (11) and (12).…”

Section: B Regression Analysis Modelmentioning

confidence: 99%

“…To verify the prediction model, some researchers have used the analysis of variance to verify the confidence of a model. For example, Gohil and Puri [12] created a surface roughness prediction model for the electrical discharge turning of a Ti-6Al-4V alloy where regression analysis was used to verify the confidence of the model by the analysis of variance. Davoodi and Tazehkandi [13] used a coated carbide tool to process an Inconel 738 alloy and simulated a quadratic model using the feed, thrust and cutting forces as well as surface roughness in the Response Surface Method (RSM).…”

Section: Introductionmentioning

confidence: 99%

The Optimization of Lathe Cutting Parameters Using a Hybrid Taguchi-Genetic Algorithm

Chu

Xie

et al. 2020

IEEE Access

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In this paper, the multi-objective Hybrid Taguchi-genetic Algorithm is used to search for the best processing parameters with specified processing accuracy. The experimental cutting parameters used for the L9 orthogonal table process are cutting depth, cutting velocity and feed rate. The surface roughness of the machined workpiece surface was measured according to the standard of centerline average roughness. The Material Removal Rate (MRR) will be calculated by measuring the diameter of the processed workpiece from the formula to give the MRR. A linear regression model is constructed from the processed quality and the processing parameters of the orthogonal table and the reliability of the model is confirmed by analysis of variance (ANOVA). A Hybrid Taguchi Genetic Algorithm (HTGA) was used to calculate the optimal cutting parameters for multi-objective processing. The results of the experiments indicate that HTGA gave better convergence and robustness than the conventional Genetic Algorithm (GA) using the same number of iterations. This process produces multiple combinations of optimal cutting parameters for material removal rate and surface roughness. As the enhancement of material removal rate improved efficiency on the production line, the optimal cutting parameters were based on the tolerance range of Ra 1.6μm ~ 3.2μm according to the international standard of surface roughness. After actual processing with the selected optimum cutting parameters, the quality of processing is even better than the experimental design of the L9 Orthogonal table.

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“…Deneysel uygulama sonucunda akımın ve vurum süresinin yüzey pürüzlülüğü üzerine etkili olduğunu belirlemişlerdir. Akım ve vurum süresi ile doğru orantılı olarak arttıkça yüzey pürüzlülük değerinin arttığını görmüşlerdir [6]. Choudhary ve arkadaşları yaptıkları çalışmada; elektro erozyonla işlemede takım polaritesi, boşalım akımı ve vurum süresinin yüzey pürüzlüğünde belirgin bir etki oluşturduğu belirtmişlerdir [7].…”

Section: Introductionunclassified

Bor Alaşımlı Çeliklerin Elektro Erozyonla İşleme Parametrelerinin Deneysel Araştırılması

GENÇ¹,

Şahin²,

Özerkan³

et al. 2021

El-Cezeri Fen Ve Mühendislik Dergisi

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Bu çalışmada, bor alaşımlı çeliğin elektro erozyon ile işleme yöntemiyle işlenebilirliği araştırılmıştır. Deneyler sırasında üç farklı parametre değişken olarak seçilmiş olup (boşalım akımı, vurum süresi ve vurum bekleme süresi) işleme parametrelerinin iş parçası işleme hızı, elektrot aşınma hızı ve ortalama yüzey pürüzlülüğüne (Ra) olan etkileri incelenmiştir. Deneysel sonuçlara göre İİH, EAH ve Ra boşalım akımının artmasıyla birlikte artış göstermiştir. Vurum süresinin artması ile İİH ve EAH değerleri artarken, elektrot aşınmasının azaldığı tespit edilmiştir. Her bir işleme seviyesi için ideal işleme parametrelerinin farklı seviyelerde olduğu belirlenmiştir. İş parçası işleme hızı için ideal işleme parametreleri, akım, vurum süresi ve vurum bekleme süresi için sırasıyla 12 A, 100 µs ve 50 µs olarak bulunmuştur. EAH için ideal işleme parametreleri, akım için 24 A, vurum süresi için 100 µs, vurum bekleme süresi için ise 6 µs olarak bulunmuştur. Yüzey pürüzlülüğü için ideal işleme parametreleri, akım, vurum süresi ve vurum bekleme süresi için sırasıyla 12 A, 50 µs ve 24 µs olarak belirlenmiştir. Yapılan deneysel çalışmalar sonucunda; iş parçası işleme hızı (İİH), elektrot aşınma hızı (EAH), iş parçası yüzey pürüzlülüğünün ve boşalım akımının artmasıyla birlikte artış göstermiştir. Yine İİH, iş parçası yüzey pürüzlülüğü değerlerinin vurum süresinin artmasıyla birlikte artış gösterdiği gözlenmiştir.

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Experimental Investigation on Surface Roughness in Electrical Discharge Turning of Ti-6Al-4V Alloy

Cited by 10 publications

References 16 publications

An Experimental Study for surface roughness of M42 HSS resulted from wire electrical discharge turning

An Experimental Study for surface roughness of M42 HSS resulted from wire electrical discharge turning

The Optimization of Lathe Cutting Parameters Using a Hybrid Taguchi-Genetic Algorithm

Bor Alaşımlı Çeliklerin Elektro Erozyonla İşleme Parametrelerinin Deneysel Araştırılması

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