Optimum Control Parameters During Machining of LM13 Aluminum Alloy Under Dry Electrical Discharge Machining (EDM) With A Modified Tool Design

Nagarajan, Pragadish; Murugesan, Pradeep Kumar; Natarajan, Elango

doi:10.5755/j01.ms.25.4.20899

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…e formation of surface cracks was due to high uctuating stresses applied during the process of machining. Similar kind of observation was reported on wire EDM machine surfaces [27][28][29][30][31].…”

Section: Field Emission Scanning Electron Microscopy (Fesem)supporting

confidence: 84%

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Experimental Investigation of Heat-Treated Tool on Wire Electric Discharge Machining of Titanium Alloy (Ti-6Al-4V)

Samson

Sridhar

Ranjith

et al. 2022

Advances in Materials Science and Engineering

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Ti-6Al-4V is known for its lightweight, high tensile strength, exceptional corrosion resistance, and low thermal coefficient of expansion due to which it finds its application in precision surgical instruments and aeronautical and marine engine parts. In this study, Ti-6Al-4V has been machined using wire EDM machine with two different wire materials. The wire thickness of 0.25 mm heat-treated brass and zinc-coated brass tool and super cool oil as dielectric fluid were utilized for the machining process. Taguchi L9 orthogonal array was used. Ton (Pulse ON time), Toff (Pulse OFF time), wire feed, and Ip (Current) were the input parameters, and the response parameters such as surface roughness (Ra), material removal rate (MRR), tool wear rate (TWR), and recast layer thickness were optimized by TOPSIS optimization. From the results, higher tool wear rate was observed in brass tool. The titanium percentage after machining was found to be 55.05% for zinc-coated brass wire, whereas it was 51.58% for brass wire. Better productivity and surface integrity were observed in zinc-coated brass tool compared to heat-treated brass. MRR increased to 54.93%, surface roughness decreased to 2.40%, recast layer thickness increased to 3.44%, and tool wear rate was increased to 47.96%.

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Section: Field Emission Scanning Electron Microscopy (Fesem)supporting

confidence: 84%

“…e change in composition of the machined surface was due to the melting and solidi cation of the machined surface. Similar kind of change in composition of the workpiece was observed in previously undergone research work in wire EDM process [29,31].…”

Section: Energy Dispersion Spectroscopy (Eds)supporting

confidence: 81%

Experimental Investigation of Heat-Treated Tool on Wire Electric Discharge Machining of Titanium Alloy (Ti-6Al-4V)

Samson

Sridhar

Ranjith

et al. 2022

Advances in Materials Science and Engineering

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“…It was found that the material erosion rate decreased, and the electrode wear increased with an increase in reinforcing quantity in the matrix phase [15]. Some researchers [16][17][18][19] have checked the feasibility of EDM in composite materials, and their results yield that the reinforcing constituents in the matrix obstruct effective sparking and reduce matrix phase erosion.…”

Section: Introductionmentioning

confidence: 99%

Utilizing multiple criteria decision-making optimization methods to machine LM25Al/VC material under electro-discharge machining processes

Tolcha,

Lemu

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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In this work, sparking electro-discharge machining (EDM) process parameters are optimized by using multiple criteria decision-making (MCDM) methods. The work piece utilized for the investigation was LM25 aluminum alloy reinforced with Vanadium carbide (VC), processed through a stir casting technique. The EDM process parameters that have been considered in this work are by peak current, pulse-on-time, and pulse-off-time, with the effects of each variable and their combinations on the performance metrics of EDM like material removal rate, electrode wearing rate, and surface roughness. In this study, three MCDM methodologies were applied to evaluate EDM performance. Then, the obtained MCDM scores were compared using two different objective verification mechanisms. In this case, the VIKOR technique delivered the best-desired results relative to TOPSIS method, and factorial analyzing method. Also, the factorial method is simpler than the other methods, though it produced nearly identical results as the sophisticated MDCM method.

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“…Newly developed power source has stabilized the discharge probability. Significant research contributions [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] in the recent years are reviewed and listed in Table 1. Alam et al [26] recently reviewed optimization of WEDM parameters, in which they detailed the past published research using GRA and RSM methods.…”

Section: Introductionmentioning

confidence: 99%

Gorilla Troops Optimizer Combined with ANFIS for Wire Cut EDM of Aluminum Alloy

Natarajan

Kaviarasan²,

Lim

et al. 2022

Advances in Materials Science and Engineering

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Wire cut EDM is a quite regularly used machining process in mechanical and electronic industries. This research has attempted to machine aluminum alloy for which experimental design was prepared using Box-Behnken design. Different combinational options of pulse-on time (P1), pulse-off time (P2), servo wire feed (WF), and current (I) were investigated and surface roughness after machining was observed. Collected 27 datasets were further used in Adaptive Neuro Fuzzy Inference System (ANFIS) to produce about 500 datasets. These 500 datasets are approximated data derived from experimental datasets, known as synthetic data. Data model was further developed and used in Gorilla Troops Optimizer (GTO) to locate the optimum machining parameters. With the excellent three search operators: move towards other gorillas, migrate towards unknown places, and migrate towards known places, GTO has produced the lowest surface roughness value of 0.500953 μm when the machining parameters of pulse-on time, pulse-off time, wire feed, and current values were set as 121 μs, 52 μs, 3 m/min, and 166A, respectively. To ensure the accuracy of the synthetic data-based model and optimality, verification and validation were conducted. Wilcoxon signed rank test was conducted for the pairwise comparison of GTO with each of its competing algorithms at the significance level of σ = 0.05. Friedman test was conducted to calculate the average ranking of each algorithm and to detect the global differences between all compared algorithms. Outperforming performance by GTO algorithm in machining of the selected material is found.

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Optimum Control Parameters During Machining of LM13 Aluminum Alloy Under Dry Electrical Discharge Machining (EDM) With A Modified Tool Design

Cited by 8 publications

References 15 publications

Experimental Investigation of Heat-Treated Tool on Wire Electric Discharge Machining of Titanium Alloy (Ti-6Al-4V)

Experimental Investigation of Heat-Treated Tool on Wire Electric Discharge Machining of Titanium Alloy (Ti-6Al-4V)

Utilizing multiple criteria decision-making optimization methods to machine LM25Al/VC material under electro-discharge machining processes

Gorilla Troops Optimizer Combined with ANFIS for Wire Cut EDM of Aluminum Alloy

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