Improvement of micro-EDM performances with aid of vibration

Mishra, K.; Mukhopadhyay, P.; Sarkar, B. R.; Doloi, B.; Bhattacharyya, B.

doi:10.1504/ijptech.2018.094081

Cited by 11 publications

(2 citation statements)

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“…Here, λ = coefficient of distinguishing and taken as 0.50 (Tosun, 2006;Mohapatra et al, 2017;Mishra et al, 2018). GRC values (Table 5) is transformed in GRG by multiplying the weights of each response using entropy weight method.…”

Section: Methodology Of Gramentioning

confidence: 99%

Experimental studies and multi-response optimisation of duplex turning parameters using grey relational analysis with entropy measurement

Kumar¹,

Yadav²,

Kumar³

2020

IJPTECH

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In present work, the effect of turning parameters like cutting velocity, feed rate, primary depth of cut (DOC) and secondary-DOC on responses like primary cutting force (Fp), secondary cutting force (Fs) and surface roughness (Ra) using duplex turning process are observed. The preliminary experiments and entropy-grey relational analysis (GRA) has been utilised to plan the experiment. Analysis of variance (ANOVA) analyses the influence of each parameter on the responses. It is observed that feed rate has more effect as compared to other parameters. The confirmation experiment at GRA optimal condition shows the improvement in all responses as Fp = 15.34%, Fs = 17.20% and Ra = 10.14% positively.

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Section: Methodology Of Gramentioning

confidence: 99%

Experimental studies and multi-response optimisation of duplex turning parameters using grey relational analysis with entropy measurement

Kumar¹,

Yadav²,

Kumar³

2020

IJPTECH

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“…Microstructure fabrication uses micro-machining technology having distinctive advantages, e.g., require less material and energy, as well as occupying minimum space. Microtools are widely used for machining of micro-parts and components with various shapes using conventional and non-conventional processes, for instance, micro-drilling, micro-punching, micro-milling [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of micro-rods machined using reverse micro-EDM

Singh

Patowari

Deshpande

2018

J Braz. Soc. Mech. Sci. Eng.

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In today's world, microstructures have a wide range of applications in the field of biomedical devices, aerospace engineering, MEMS device elements, etc. In the recent years, reverse micro-electro-discharge machining (R-µEDM) has evolved from µEDM that has become one of the promising technologies to fabricate precise components and microstructures of various shapes with high aspect ratio. In this work, micro-tools (rods) of average size (diameter) 182 µm have been machined using copper sheet from bulk tungsten rod of 800 µm diameter by R-µEDM process. Moreover, Taguchi's L16 orthogonal array has also been applied for designing the experiments. Feed rate, capacitance and voltage are considered as the parameters of the process. The response parameters such as machining time, erosion rate and dimensional variation have been analyzed in detail for different combinations of the process parameters. It is a well-known fact that the tool wear is the main culprit and responsible for the error in the micro-rods. Dimensional error has been quantified over the entire length of the micro-rods through the measurement process, and the minimum standard deviation is found to be 1.13 µm at a feed rate of 5 µm/s, capacitance of 1000 pF and voltage of 120 V. Further, machining data have been collected in real time and the behavior of machining time with work feed has been studied. In addition to it, a simple analytical model has been developed for calculating the erosion rate and it is seen that voltage produces more effect on erosion rate and machining time than the other parameters. Additionally, using the feed rate, capacitance and voltage at which minimum deviation took place, an array of 4 × 4, i.e., 16 micro-rods with 58 µm diameter and 830 µm length, has been fabricated on the bulk tungsten rod of 800 µm diameter.

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Workpiece Dependency Exploration & Probabilistic Nonparametric Modelling of Vibration-Assisted Hybrid Micro-EDM Process

Singh

Mali

2022

Arab J Sci Eng

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Improvement of micro-EDM performances with aid of vibration

Cited by 11 publications

References 0 publications

Experimental studies and multi-response optimisation of duplex turning parameters using grey relational analysis with entropy measurement

Experimental studies and multi-response optimisation of duplex turning parameters using grey relational analysis with entropy measurement

Analysis of micro-rods machined using reverse micro-EDM

Workpiece Dependency Exploration & Probabilistic Nonparametric Modelling of Vibration-Assisted Hybrid Micro-EDM Process

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