An Experimental Study of Wire EDM on Ti-6Al-4V Alloy

Prasad, A.V.S. Ram; Ramji, K.; Datta, G. L.

doi:10.1016/j.mspro.2014.07.517

Cited by 64 publications

(22 citation statements)

References 13 publications

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“…However, contribution of WS (7.47%) on SR is found least significant at 95% confidence level while error in ANOVA result is small as 3.96%. Ram Prasad et al [27] also reported pulse on time and peak current as the most significant process variables affecting SR in WEDM of Ti-6Al-4V which is consistent with present ANOVA result. The highest impact of pulse on time on SR is also observed by Tonday and Tigga [28].…”

Section: Anova Of Surface Roughnesssupporting

confidence: 90%

Experimental investigation and parametric optimization for minimizing surface roughness during WEDM of Ti6Al4V alloy using modified TLBO algorithm

Devarasiddappa

Chandrasekaran

Arunachalam

2020

J Braz. Soc. Mech. Sci. Eng.

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Wire-cut electrical discharge machining (WEDM) is a widely used non-contact machining process used to cut difficultto-machine materials such as titanium, nickel and inconel alloys. WEDM is famous for producing components in diverse engineering applications, including automotive, marine, space, medical sectors with the highest accuracy and consistency. In this paper, experimental investigation on surface roughness (SR) of Ti6Al4V alloy employing WEDM process is presented using Taguchi L 16 experimental plan by varying four process variables, viz., pulse on time (T on), pulse off time (T off), current (I) and wire speed (WS) at four different levels. The novelty of the present work is minimization of surface roughness (SR) in WEDM of Ti6Al4V alloy employing reusable wire technology during experimental work and optimizes the problem with modified teaching-learning-based optimization (M-TLBO) algorithm. A novel technique for fitness curve fitting is also illustrated to obtain global optima for minimization of SR. Results showed that SR decreased by 2.65% at optimal parameter setting T on = 13 µs, T off = 10 µs, I = 1 A and WS = 850 rpm and global optima is obtained as 3.749 µm. Pulse on time (44.06%) and current (28.69%) are recognized as the most dominant process variables affecting SR followed by pulse off time (15.80%) and wire speed (7.47%). Surface morphology study of machined Ti alloy using SEM images showed that smoother surface is obtained at lower settings of pulse on time and current. The proposed M-TLBO algorithm is found to be highly accurate and consistent during several runs conducted with mean fitness value and standard deviation recorded as 3.751 µm and 0.006417, respectively.

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Section: Anova Of Surface Roughnesssupporting

confidence: 90%

Experimental investigation and parametric optimization for minimizing surface roughness during WEDM of Ti6Al4V alloy using modified TLBO algorithm

Devarasiddappa

Chandrasekaran

Arunachalam

2020

J Braz. Soc. Mech. Sci. Eng.

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“…It has been shown that the response surface methodology can optimize the input process parameters to get the best output responses. J.B. Saedon et al [6] analyzed the mixed technique of an OA and GRA is utilized for the determination of ideal combination of procedure parameters of titanium alloy. From the experimental results reveal that the optimal machining parameters of titanium alloy achieved smaller the SR, larger CS and larger MRR are; the Ton at 3s, IP at 12A, WT at 16 N and WF at 4 mm/min.…”

Section: B Literature Surveymentioning

confidence: 99%

“…It has been demonstrated that the proposed method can improve the exhibition attributes of the WEDM procedure parameters like CS, MRR, and SR. A.V.S. Ram Prasad et al [6] investigated the impact of machining output responses on the material removal rate and surface roughness in wire cut electrical discharge machining tasks for Ti-6Al-4V. Based on the Taguchi method analyses were conducted to think about the presentation qualities of different machining parameters on the material removal rate and surface roughness.…”

Section: B Literature Surveymentioning

confidence: 99%

Optimization of Process Parameters of Wire Cut Electrical Discharge Machining on Titanium Grade-5 Material using Design of Experiments

Kumar¹,

Kumar²,

P³

2019

IJITEE

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In this paper, a compelling methodology, Taguchi grey relational analysis, was employed to the test results of wire-cut electrical discharge machining on Titanium Grade - 5 material with the consideration of multiple performance characteristics of the output response variables. The methodology merges the orthogonal array design of experiment with grey relational analysis. The primary target of this examination is to accomplish the maximization of material removal rate, minimization of both Surface roughness and kerf width. Grey relational theory is implemented to assess the optimal process parameters that improve the response measures. The test was finished by utilizing Taguchi's orthogonal array L18. Each test has been performed under various states of input parameters. The response table and grey relational grade for each level of the machining parameters have been established. From 18 tests, the best mix of parameters was identified. The results of test verify that the suggested technique in this investigation adequately develops the machining performance of Wire cut EDM process.

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“…Machining parameters considered were: IP, Ton, Toff and SV. Orthogonal array Taguchi L9, as shown in Table (1) has been used by the author [14]. Taguchi method, which is a robust design methodology, is used for the conduction of experiments.…”

Section: Plan Of Experimentationmentioning

confidence: 99%

Study of wire-electrical discharge machining parameters of titanium alloy by using taguchi method

Prasad¹,

Ramji²,

Kumar³

2018

IJET

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Machining of Titanium alloys is difficult due to their chemical and physical properties namely excellent strength, chemical reactivity and low thermal conductivity. Traditional machining of such materials leads to formation of continuous chips and tool bits are subjected to chatter which leads to formation of poor surface on machined surface. In this study, Wire-EDM one of the most popular unconventional machining process which was used to machine such difficult-to-cut materials. Effect of Wire-EDM process parameters namely peak current, pulse-on-time, pulse-off-time, servo voltage on MRR and SR was investigated by Taguchi method. 0.25 mm brass wire was used in this process as electrode material. A surface roughness tester (Surftest 301) was used to measure surface roughness value of the machined work surface. A multi-response optimization technique was then utilized to optimize Wire-EDM process parameters for achieving maximum MRR and minimum SR simultaneously.

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An Experimental Study of Wire EDM on Ti-6Al-4V Alloy

Cited by 64 publications

References 13 publications

Experimental investigation and parametric optimization for minimizing surface roughness during WEDM of Ti6Al4V alloy using modified TLBO algorithm

Experimental investigation and parametric optimization for minimizing surface roughness during WEDM of Ti6Al4V alloy using modified TLBO algorithm

Optimization of Process Parameters of Wire Cut Electrical Discharge Machining on Titanium Grade-5 Material using Design of Experiments

Study of wire-electrical discharge machining parameters of titanium alloy by using taguchi method

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