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IOP Conference Series: Materials Science and Engineering, 2018
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Durga Padhy
2011
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aashim wadhwa
2012
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Experimental Investigation and Optimization of Electric Discharge Machining Process Parameters Using Grey-Fuzzy-Based Hybrid Techniques
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Consideration of Fuzzy Components for Prediction of Machining Performance: A Review
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Procedia Engineering, 2011
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Optimization of Electro Discharge Machining Process Parameters With Fuzzy Logic for Stainless Steel 304 (ASTM A240)
Alaa Ubaid
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Optimization of Electrical Discharge Machining Process Parameters Using Desirability Approach
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Applied Mechanics and Materials, 2012
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Fuzzy logic for modeling machining process: a review
Habibollah Haron
Artificial Intelligence Review, 2013
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Performance Characteristics Optimization of Electrical Discharge Machining Process Using Back Propagation Neural Network And Genetic Algorithm
Arif Wahyudi
IPTEK The Journal for Technology and Science, 2015
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A Review of Research on Improvement and Optimization of Performance Measures for Electrical Discharge Machining
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Predictions on surface finish in electrical discharge machining based upon neural network models
KuoMing Tsai
International Journal of Machine Tools and Manufacture, 2001
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A comparative study on modelling material removal rate by ANFIS and polynomial methods in electrical discharge machining process
Osman Taylan
Computers & Industrial Engineering, 2015
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Fuzzy Logic Modeling For Peripheral End Milling Process
Siti Zulaika Razali
IOP Conference Series: …, 2011
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Modeling of Electrical Discharge Machining Process Using Conventional Regression Analysis and Genetic Algorithms
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Journal of Materials Engineering and Performance, 2011
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Correlation of Input Parameters with Tool Martial on the Output Parameters of Electrical Discharge Machining Process
Mirsadegh Seyedzavvar
Advanced Materials Research, 2012
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Optimization of process performance by multiple pentagon fuzzy responses: Case studies of wire-electrical discharge machining and sputtering process
Natalija Lepkova
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Parametric Investigation and Improvement of Electrical Discharge Machining Process
IJRASET Publication
International Journal For Research In Applied Science & Engineering Technology, 2020
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Forward and reverse mappings of electrical discharge machining process using adaptive network-based fuzzy inference system
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Expert Systems with Applications, 2010
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Optimization Of Machining Parametric Study On Electrical Discharge Machining
Rakesh Prajapati
2017
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A Review on Parametric Investigation and Improvement of Electrical Discharge Machining Process
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Fuzzy Logic Control of Microhole Electrical Discharge Machining
Scott Miller
Journal of Manufacturing Science and Engineering, 2008
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MODELLING THE MANUFACTURING PARAMETERS IN ELECTRICAL DISCHARGE MACHINING FOR ON-LINE QUALITY CONTROL
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Neural Network Prediction and Analysis of Material Removal Process during Wire Cut Electrical Discharge Machining
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Addressing Trade-Off In The Expendables Encountered During Evaluation Of The Performance Metrics Of Electro-Discharge Machining
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Gap width control in electrical discharge machining, using type-2 fuzzy controllers
John P T Mo, Milan Brandt
2013 International Conference on Control, Automation and Information Sciences (ICCAIS), 2013
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Experimental Investigation and Analysis of Thrust, Torque and Surface Roughness during Drilling of EN31 using Fuzzy Logic
Dr. Ranganath M Singari, Professor
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Material Removal Rate Prediction of Electrical Discharge Machining Process Using Artificial Neural Network
Trias Andromeda
2012
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Optimization Multi Response on Electrical Discharge Machining Sinking Process Using Taguchi-Grey-Fuzzy Methods
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International journal of science, engineering, and information technology
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An Intelligent System for Improving Electric Discharge Machining Efficiency Using Artificial Neural Network and Adaptive Control of Debris Removal Operations
Cheng-Hsiung Lee
IEEE Access
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Computer simulation of performance of electrical discharge machining operations
I. Cabanes
International Journal of Computer Integrated Manufacturing, 2009
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Process Modeling Of Electric Discharge Machining Of Inconel 825 Using Artificial Neural Network
Dr. Pushpendra Singh Bharti
2017
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Determination of Multi-performance Characteristics in Electric Discharge Machining of DIN 1.2767 Steel Using Grey Relational Analysis
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ARO. The Scientific Journal of Koya University, 2021
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