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Experimental investigation for minimizing circularity and surface roughness under nano graphene mixed dielectric EDM exercising fuzzy-ANFIS approach
by
Sharma, Deepesh
, Bhowmick, Arnab
, Pathak, Vimal Kumar
, Goyal, Ashish
in
Accuracy
/ Adequacy
/ CAE) and Design
/ Circularity
/ Computer-Aided Engineering (CAD
/ Dielectrics
/ Electric discharge machining
/ Electric fields
/ Electrodes
/ Electronics and Microelectronics
/ Energy distribution
/ Engineering
/ Engineering Design
/ Fuzzy logic
/ Graphene
/ Graphite
/ Industrial Design
/ Instrumentation
/ Magnetic fields
/ Mechanical Engineering
/ Nickel base alloys
/ Optimization techniques
/ Original Paper
/ Orthogonal arrays
/ Particle size
/ Silicon carbide
/ Steel
/ Superalloys
/ Surface finish
/ Surface roughness
/ Titanium alloys
2022
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Experimental investigation for minimizing circularity and surface roughness under nano graphene mixed dielectric EDM exercising fuzzy-ANFIS approach
by
Sharma, Deepesh
, Bhowmick, Arnab
, Pathak, Vimal Kumar
, Goyal, Ashish
in
Accuracy
/ Adequacy
/ CAE) and Design
/ Circularity
/ Computer-Aided Engineering (CAD
/ Dielectrics
/ Electric discharge machining
/ Electric fields
/ Electrodes
/ Electronics and Microelectronics
/ Energy distribution
/ Engineering
/ Engineering Design
/ Fuzzy logic
/ Graphene
/ Graphite
/ Industrial Design
/ Instrumentation
/ Magnetic fields
/ Mechanical Engineering
/ Nickel base alloys
/ Optimization techniques
/ Original Paper
/ Orthogonal arrays
/ Particle size
/ Silicon carbide
/ Steel
/ Superalloys
/ Surface finish
/ Surface roughness
/ Titanium alloys
2022
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Experimental investigation for minimizing circularity and surface roughness under nano graphene mixed dielectric EDM exercising fuzzy-ANFIS approach
by
Sharma, Deepesh
, Bhowmick, Arnab
, Pathak, Vimal Kumar
, Goyal, Ashish
in
Accuracy
/ Adequacy
/ CAE) and Design
/ Circularity
/ Computer-Aided Engineering (CAD
/ Dielectrics
/ Electric discharge machining
/ Electric fields
/ Electrodes
/ Electronics and Microelectronics
/ Energy distribution
/ Engineering
/ Engineering Design
/ Fuzzy logic
/ Graphene
/ Graphite
/ Industrial Design
/ Instrumentation
/ Magnetic fields
/ Mechanical Engineering
/ Nickel base alloys
/ Optimization techniques
/ Original Paper
/ Orthogonal arrays
/ Particle size
/ Silicon carbide
/ Steel
/ Superalloys
/ Surface finish
/ Surface roughness
/ Titanium alloys
2022
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Experimental investigation for minimizing circularity and surface roughness under nano graphene mixed dielectric EDM exercising fuzzy-ANFIS approach
Journal Article
Experimental investigation for minimizing circularity and surface roughness under nano graphene mixed dielectric EDM exercising fuzzy-ANFIS approach
2022
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Overview
The present work aims to study the influence of adding nano graphene powder in dielectric on the circularity and surface roughness of nickel super alloy (Inconel 718) during electrical discharge machining (EDM). The mixing of suitable powder in nano form with dielectric oil enhances the machining efficacy of EDM by altering the electric field intensity and energy distribution. The experimental investigations were performed using Taguchi L
27
orthogonal array by considering peak current (Ip), pulse on time (Ton) and pulse off time (Toff) as input variables. The optimal process conditions have been determined using efficient intelligent methods namely fuzzy logic and ANFIS model giving excellent prediction of machining performance in terms of surface roughness (Ra) and circularity. Based on ANFIS results, the minimum circularity and surface roughness achieved for nano graphene mixed EDM are 0.0126 mm and 1.590 µm respectively, which is 12.27% and 32.91% superior in comparison to traditional EDM results. The ANOVA analysis was performed for confirming adequacy of developed models and based on analysis, peak current was found to have most influencing effect on surface roughness with contribution of 54.96% and pulse on time proved to be the most contributing factor for circularity with contribution of 50.93%. The ANFIS model was found out to be giving more significant predictions than fuzzy model. The scanning electron microscopy shows the improvement in surface finish of nano graphene mixed dielectric EDM in comparison to traditional EDM.
Publisher
Springer Paris,Springer Nature B.V
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