Study of surfactant effects on intermolecular forces (IMF) in powder-mixed electrical discharge machining (EDM) of Ti-6Al-4V

Ilani, Mohsen Asghari; Khoshnevisan, Mohammad

doi:10.1007/s00170-021-07569-3

Cited by 36 publications

(11 citation statements)

References 27 publications

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“…Step 5: The value differences among the parameters are evaluated with the 'suitable ideal' solution is calculated using Eq. (6).…”

Section: Y Yij J J I M Y Y Y Ymentioning

confidence: 99%

“…They optimized the process parameters using Taguchi method and obtained the maximum MRR 0.0239 g/min with less error. Ilani et al [6] and [7] fabricated a tool in the technique of fused deposition modelling and employed EDM to improve the machining performance. The result was a tool using the surfactant stirred dielectrics such as with powder mixed and non-powder mixed electrolyte.…”

Section: Introductionmentioning

confidence: 99%

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Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode

Saminatharaja¹,

Periyakgounder²,

Selvaraj³

et al. 2021

SV-JME

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Electrical discharge machines (EDM) are widely employed in machining components containing complex profiles of hard-to-cut and machining materials. However, the fabrication-of-tool time for the EDM process is excessively high in the traditional machining method, which significantly affects the machining rate. Therefore, in this paper, a powder metallurgy (PM) technique is employed to fabricate the tool electrode using copper (Cu), titanium carbide (TiC), and zirconium silicate (ZrSiO4) for different combinations. An L18 orthogonal array (OA) is planned using the following input parameters: three types of tools (Cu, Cu90, Cu80), peak current (PC) [A], pulse on time (PT) [µs], and gap voltage (GV) [V]. The performance of EDM is evaluated through the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The process parameters are optimized using two different techniques: the technique for order of preference by similarity to the ideal solution (TOPSIS) and grey relational analysis (GRA). TOPSIS and GRA optimization techniques produce the same optimal parametric solution for less TWR, SR, and higher MRR with the combination of the Cu90 tool, E8 APC, 15 µs pulse PT, and 75 V GV. Based on the ANOVA table of TOPSIS, pulse on time plays a major role, contributing 46.8 % of the machining performance; peak current shows the most significant contribution of 39.3 % of the machining performance using GRA values. Furthermore, the scanning electron microscope (SEM) image analyses are carried out on the machined workpiece surface to understand the effect of tools on machining quality.

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“…Step 5: The value differences among the parameters are evaluated with the 'suitable ideal' solution is calculated using Eq. (6).…”

Section: Y Yij J J I M Y Y Y Ymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode

Saminatharaja¹,

Periyakgounder²,

Selvaraj³

et al. 2021

SV-JME

View full text Add to dashboard Cite

show abstract

“…The large number of process parameters with wide range makes high difficult to optimize process parameters in EDM [6]. Hence the optimization for improving machining productivity and machined surface quality in EDM is still attracting the attention of many researches and experts [7][8][9][10]. Using coated electrode in EDM is a new research direction, its results are very feasible in practice and industrial manufacturing [11,12].…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria decision making in electrical discharge machining with nickel coated aluminium electrode for titanium alloy using preferential selection index

Huu

Vu²,

Shirguppikar³

et al. 2022

Manufacturing Rev.

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In the present scenario, great effort is expended to improve the machining process by adopting multi-criteria decision making in electrical discharge machining (EDM). In this research article, an attempt was made to optimize the process parameters of EDM with Nickel Coated Aluminium Electrode for machining Titanium Alloy using Preference Selection Index (PSI). The experimental work were performed using Taguchi based L16 orthogonal to solve multi-objective optimization problem. The current (I), voltage (U) and pulse on time (Ton) were used as input response variables for investigation process while material removal rate (MRR) and tool wear rate (TWR) were selected as performance measures. The experimental results show that set of optimized parameters of the multi-objective optimization problem in EDM with nickel coated aluminium electrode could improve the machining with better surface measures with less deviation from the prediction. The combination between PSI and Taguchi method reduced and saved significantly the experimental time and cost and increased accuracy for optimization process.

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“…Improving machining productivity, machining accuracy and machining quality are the main current research directions in this field [2]. Several technical solutions have been introduced to achieve these goals, but the technical complexity of use and application costs are high and this has affected their application in practice [3][4][5]. Currently, research on optimizing technological parameters in micro-EDM and micro-EDM using coated electrodes is a promising research path with high potential [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Multi-objects optimization in μ-EDM using AlCrN coated tungsten carbide electrode by Deng's method

Van

Shirguppikar²,

Huu

et al. 2022

Manufacturing Rev.

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In machining, the use of appropriate optimization method will significantly contribute in improving the economic and technical efficiency. Currently, there are many techniques used for multi-objective decisions in electrical discharge machining (EDM) and micro-EDM. This may create mistakes in choosing the optimal solution for each problem and mislead the optimum solution. Therefore, it is necessary to have research directions to be able to come up with a reasonable optimal method. In this study, the author has studied multi-targeting decisions in micro-EDM using coated electrode. Experiments were performed using Ti-6Al-4V as a workpiece material and AlCrN coated Tungsten carbide (WC) micro tool electrode. Deng's method was used to decide the optimized level of depth of machining (Z Co-Ordinate) and overcut (OC) in micro-EDM using the coated electrode. Research results are analyzed and evaluated with several other multi-objective decision methods. The results indicated that Deng's method was the suitable method for this study and the machined surface quality of the coated electrode was also analyzed.

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Study of surfactant effects on intermolecular forces (IMF) in powder-mixed electrical discharge machining (EDM) of Ti-6Al-4V

Cited by 36 publications

References 27 publications

Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode

Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode

Multi-criteria decision making in electrical discharge machining with nickel coated aluminium electrode for titanium alloy using preferential selection index

Multi-objects optimization in μ-EDM using AlCrN coated tungsten carbide electrode by Deng's method

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