Enhancement of machinability of titanium alloy in the Eductor based PMEDM process

Jeavudeen, S.; Jailani, H. Siddhi; Murugan, M.

doi:10.1007/s42452-021-04472-0

Cited by 4 publications

(6 citation statements)

References 45 publications

(47 reference statements)

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“…Since the Eductor-based PMEDM set-up could mix any powder regardless of its type and particle size, the EDM machine (Electranica Make, India) is customized to perform these experiments. Figure . 1(a) [10] depicts the experimental set-up, and a schematic portrayal is shown in Figure . 1(b). As seen in Table 1, the operational conditions of the machining are specified in the tabular form.…”

Section: Experimental Workmentioning

confidence: 99%

“…The network's topology can be written as [3, HL1,1], where HL1 represents the 10 hidden-layer nodes. The network topology has been arranged in [3,10,1], and all the weights have been initially assigned randomly via the MATLAB input function. The T-GRA & TOPSIS data is considered as training data to the ANN model ReLu activation function.…”

Section: Grey-based Ann Designmentioning

confidence: 99%

“…Arranging each 3 input neurons to the 10 nodes of the hidden layer will result in output by the summation of the weights and bias. By continuously adding 10 neurons to the hidden layer, the network has been able to reach the final output of [3,10,1]. This process is repeated until it yields a minimum error.…”

Section: Grey-based Ann Designmentioning

confidence: 99%

“…With different concentrations of Alu-minum powder mixed with drinking water, Gugulothu et al, [9] conducted experiments based on L 27 OA with Inconel 718 and noticed that MRR was maximum with 6gm/l of powder concentration. Jeavudeen et al, [10] conducted Taguchi L 18 experiments with Alumina, Silica, and Copper and found that Eductor based EDM was efficient in mixing powders uniformly in dielectric. Jafrey Daniel et al investigated the composite material, and the test was designed using L 27 Orthogonal Array with 4 input parameters such as pulse on time, pulse of time, wire feed, and wire tension.…”

Section: Introductionmentioning

confidence: 99%

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Multi-response optimization of PMEDM on Inconel 718 using hybrid T-GRA, TOPSIS, and ANN model

Sai,

Shiek,

Syed

2023

FME Transactions

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Inconel 718 is one of the Nickel-based superalloys considered one of the most difficult-to-machine materials owing to its property to retain hardness at higher temperatures. This study examined the performance of Edcutor-based PMEDM machining on Inconel 718. Taguchi L9 OA has been used with current, Pulse-OFF time & Pulse-ON time as process parameters with a delivery side pressure of 6 bar for the Alumina mixed dielectric. Material removal rate (MRR), Tool wear rate (TWR), & surface roughness (SR) have been taken as output responses. The results have been investigated by MADM techniques, namely Taguchi-based Grey Relational Analysis (T-GRA) & TOPSIS analysis. Furthermore, the ranks obtained from T-GRA & TOPSIS have been validated by developing a single layered ANN model. Ranks predicted by the ANN model are the same for T-GRA and TOPSIS and the R-values are 0.924 & 0.871, respectively. ANOVA has also been used to analyze parameter effects on output responses.

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Section: Experimental Workmentioning

confidence: 99%

Section: Grey-based Ann Designmentioning

confidence: 99%

Section: Grey-based Ann Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-response optimization of PMEDM on Inconel 718 using hybrid T-GRA, TOPSIS, and ANN model

Sai,

Shiek,

Syed

2023

FME Transactions

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“…Machined surface property was altered with the changes in the characteristics of dielectric fluid [16]. e optimum duty factor and thermography determine the productivity and quality of titanium alloy [17]. e MRR increased with the increment in the conductivity of the dielectric fluid and over the threshold limit reduces due to upsurge in gap distance [18].…”

Section: Introductionmentioning

confidence: 99%

Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach

Anjani²,

Raman

et al. 2022

Advances in Materials Science and Engineering

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In this research work, an attempt was made to machine the titanium (Ti6Al4V) alloy utilizing electric discharge machining technique. The distinct process parameters and its impact on the machining performance were identified using the cause-and-effect diagram (CED). The key process parameters identified by CED diagram were current, pulse on time (Ton), aluminium oxide (Al2O3) powder concentration, and gap distance; experiments were conducted by varying the process parameters, experimental runs were designed using the Taguchi mixed orthogonal array. The experimental results revealed that improvement in material removal rate (MRR) was due to the bridging effect; reduction in tool wear rate (TWR) owing to the expansion of spark gap and enhancement in the surface roughness (Ra) was due to the complete flushing of machined debris. The interaction impact was analysed using the contour plot and with the aid of mathematical modelling experimental fits that were identified and the results were validated utilizing the sensitivity analysis. The obtained results were optimized using the technique for order of preference by similarity to ideal solution (TOPSIS) optimization technique.

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Enhanced abrasive-mixed-µ-EDM performance towards improved surface characteristics of biodegradable Mg AZ31B alloy

Davis

Singh

Debnath

et al. 2022

Int J Adv Manuf Technol

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The non-degradable metallic implants, such as bone screws, often act as the source of dysfunction and harmful corrosion products in the aqueous environment inside the human body. Many of these implants are fixed either temporarily or permanently into the human body, and therefore, both need to match tight tolerances with a remarkably finished surface to eradicate burrs or striations. In this regard, the new generation of degradable magnesium (Mg) alloy implants with excellent osseointegration and low elasticity (like that of human bone), minimizing stress shielding, have been identified as potential candidates to challenge surgical procedures reintervention. However, the biological response of an implant toward the cells in vivo can be predominantly regulated by modifying the surface chemistry, morphology, and corrosion characteristics. Powder or abrasive-mixed-micro-electric discharge machining (A-M- µ -EDM) is gaining attention for executing precision machining and achieving a simultaneous surface modification on micro-manufactured surfaces, suitable for clinical applications. Therefore, the present research aimed at improving the surface characteristics of Mg AZ31B alloy via an augmented performance of A-M- µ -EDM by adopting copper and brass-micro-electrodes (C- µ -E and B- µ -E) in association with distinct abrasive particle concentrations (APCs: 0, 1.5, 3, 4.5, and 6 g/l) of bioactive zinc abrasives. To enhance the A-M- µ -EDM capabilities, the experiments were designed with a one-variable-at-a-time (OVAT) strategy, and the trial runs were conducted using different combinations of µ -electrodes and APCs. The superior performance of A-M- µ -EDM was noticed with the fusion of C- µ -E and 3 g/l APC in terms of minimum machining time (MT) and dimensional deviation (DD). The additional outcomes of this work reported favorable improvements in surface morphology, chemistry, topography, wettability, microhardness, and corrosion resistance on the A-M- µ -EDMed sample of interest.

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Enhancement of machinability of titanium alloy in the Eductor based PMEDM process

Cited by 4 publications

References 45 publications

Multi-response optimization of PMEDM on Inconel 718 using hybrid T-GRA, TOPSIS, and ANN model

Multi-response optimization of PMEDM on Inconel 718 using hybrid T-GRA, TOPSIS, and ANN model

Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach

Enhanced abrasive-mixed-µ-EDM performance towards improved surface characteristics of biodegradable Mg AZ31B alloy

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