Optimization of relative wear ratio during EDM of titanium alloy using advanced techniques

Agarwal, Neeraj; Shrivastava, Nitin; Pradhan, Mohan Kumar

doi:10.1007/s42452-019-1877-2

Cited by 16 publications

(4 citation statements)

References 18 publications

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“…Pulse time (Ton) [1]- [2]- [3]- [4]- [5]- [6]- [7]- [8]- [9]- [10]-[11]- [12]- [13]- [14]- [16] Rest time (Toff) [1]- [2]- [5]- [6]- [7]- [8]-[11]- [12]- [13]- [14] Discharge current (I) [1]- [3]- [4]- [5]- [6]- [7]- [8]- [9]- [10]-[11]- [12]- [14]- [16] Secondary Distance between electrode and work piece (GAP) [6] Duty cycle (DC) [2]- [10]- [12] ]- [16] Voltage (V) [2]- [3]- [4]- [8]- [10]- [12]- [13] Parameter (TUP) [9] Recently, there has been a sharp increase in the application of the experimental method based mainly on practical trials. Several experimental modeling techniques with varying degrees of complexity have been w...…”

Section: Principalmentioning

confidence: 99%

Identification of the effects and interactions of factors on the EDM process in order to model it using Taguchi method

KAMOUN

MESLAMENİ

2022

International Journal of Engineering and Innovative Research

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This article presents the identification of the influence of the effects and interactions of the machining parameters (EDM) of the machine (EROTECH basic 450) in order to model the material removal rate (MRR), the tool wear rate (TWR) and the roughness of the part (Ra). We look at all the machining parameters and collect the effects by the design of experiments method. The modeling carried out is thus carried out by the response surfaces method (RSM). We use the statistical method (ANOVA) analysis of variance to approve the robustness of the models and to verify that they are statistically significant. The Taguchi method was implemented to formulate mathematical models to predict EDM machining parameters. The prediction of responses by empirical models is compared with experimental validation tests and the results are satisfactory.

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Section: Principalmentioning

confidence: 99%

Identification of the effects and interactions of factors on the EDM process in order to model it using Taguchi method

KAMOUN

MESLAMENİ

2022

International Journal of Engineering and Innovative Research

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“…Agarwal et al [35] carried out EDM of titanium alloy considering the machining parameters, i.e., I p , P on , V g to investigate their effect on EWR, MRR, and RWR. Cu electrode was engaged against the said alloy.…”

Section: Introductionmentioning

confidence: 99%

Role of biodegradable dielectrics toward tool wear and dimensional accuracy in Cu-mixed die sinking EDM of Inconel 600 for sustainable machining

Ishfaq

Sana

Rehman

et al. 2023

J Braz. Soc. Mech. Sci. Eng.

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NetZero advancements for the manufacturing industry are aspiring for precision machining of difficult-to-cut materials with a high degree of accuracy, particularly for Ni-based super alloys while meeting climate protocols. The applications and properties of the foregoing materials warrant the usage of the electric discharge machining (EDM) technique. However, given the rising scarcity of resources, there is a compelling need to make this process sustainable. The standard dielectric (kerosene) employed in EDM is hazardous to one's health and fails in terms of long-term productivity. As a result, an effort has been made in this study to evaluate the potential of biodegradable dielectrics, at different copper powder concentrations for sustainable machining of Inconel 600. This investigation evaluated three powder concentrations (0.5, 1.0, and 1.5) g/100 ml for each dielectric. Output responses including electrode wear rate and overcut explicitly aid in ensuring long-term productivity. For example, EWR represents economic assessment, while overcut determines dimensional accuracy. The full factorial design method was used in the experiments, followed by a full statistical examination encompassing, parametric effects and interactions, and signal-to-noise ratio. The findings of this study revealed a decreased EWR (2.69 mm3/min), as well as a minimal overcut (0.33 mm). In case of EWR, about 39% variation in the magnitude has been noted when dielectrics have been varied, whereas approximately 30.9% variation in EWR was observed against the change in the powder concentration. For overcut, the influence of the dielectric on the response magnitude has been further improved as it produces about 61% variation in the OC value. However, the impact of the change in powder concentration for overcut is 8%. It was found that Amla oil with a powder concentration of 0.5 g/100 ml produced the least tool wear, but Sunflower oil at minimum powder concentration (0.5 g/100 ml) produced the minimum overcut. As a result, the combined effect of all of the aforesaid strategies results in more sustainable and dimensionally accurate machining.

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“…In order to increase the surface quality, a higher RWR value is required. They discovered that TWR dropped when pulse-on current rose but increased as pulse-on time and duty factor increased [ 22 , 23 ]. Bhaumik and Maity [ 24 ] performed, based on statistical Response Surface Method (RSM), a face-centered central composite experimental design to analyze the influence of the T on , I P , gap voltage, and Duty factor on the process performance of Titanium Grade 6 alloy machined by EDM.…”

Section: Introductionmentioning

confidence: 99%

Surface and Subsurface Quality of Titanium Grade 23 Machined by Electro Discharge Machining

et al. 2021

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Electrical Discharge Machining (EDM) is a non-traditional cutting technology that is extensively utilized in contemporary industry, particularly for machining difficult-to-cut materials. EDM may be used to create complicated forms and geometries with great dimensional precision. Titanium alloys are widely used in high-end applications owing to their unique intrinsic characteristics. Nonetheless, they have low machinability. The current paper includes an experimental examination of EDM’s Ti-6Al-4V ELI (Extra Low Interstitials through controlled interstitial element levels) process utilizing a graphite electrode. The pulse-on current (IP) and pulse-on time (Ton) were used as control parameters, and machining performance was measured in terms of Material Removal Rate (MRR), Tool Material Removal Rate (TMRR), and Tool Wear Ratio (TWR). The Surface Roughness (SR) was estimated based on the mean roughness (SRa) and maximum peak to valley height (SRz), while, the EDMed surfaces were also examined using optical and SEM microscopy and cross-sections to determine the Average White Layer Thickness (AWLT). Finally, for the indices above, Analysis of Variance (ANOVA) was conducted, whilst semi-empirical correlations for the MRR and TMRR were given using the Response Surface Method (RSM). The results show that the pulse-on time is the most significant parameter of the machining process that may increase the MRR up to 354%. Pulse-on current and pulse-on time are shown to have an impact on the surface integrity of the finished product. Furthermore, statistics, SEM, and EDX images on material removal efficiency and tool wear rate are offered to support the core causes of surface and sub-surface damage. The average microhardness of the White Layer (WL) is 1786 HV.

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Optimization of relative wear ratio during EDM of titanium alloy using advanced techniques

Cited by 16 publications

References 18 publications

Identification of the effects and interactions of factors on the EDM process in order to model it using Taguchi method

Identification of the effects and interactions of factors on the EDM process in order to model it using Taguchi method

Role of biodegradable dielectrics toward tool wear and dimensional accuracy in Cu-mixed die sinking EDM of Inconel 600 for sustainable machining

Surface and Subsurface Quality of Titanium Grade 23 Machined by Electro Discharge Machining

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