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Evolutionary programming method for modeling the EDM parameters for roughness
(BQ) The method of electrical discharge machining (EDM), one of the processing methods based on non-traditional manufacturing procedures, is gaining increased popularity, since it does not require cutting tools and allows machining involving hard, brittle, thin and complex geometry
9 p vlute 28/04/2017 557 0
Từ khóa: Electrical discharge machining, Genetic expression programming, Surface roughness, Evolutionary programming method, The EDM parameters
(BQ) Electrical discharge machining (EDM) is inherently a stochastic process. Predicting the output of such a process with reasonable accuracy is rather difficult.
19 p vlute 28/04/2017 534 1
Từ khóa: Electrical discharge machining, Support vector machine, Particle swarm optimization, The EDM Process, Modeling of EDM responses
Intelligent process modeling and optimization of die-sinking electric discharge machining
(BQ) This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial neural networks (ANN) and genetic algorithm (GA) to improve prediction accuracy of the model with less dependency on the experimental data.
13 p vlute 28/04/2017 528 1
Từ khóa: Electric discharge machining, Process modeling and optimization, Finite element method, Artificial neural networks, Scaled conjugate gradient algorithm, Non dominated sorting genetic algorithm
(BQ) Surface integrity and dimensional accuracy remain critical concern in Electrical Discharge Machining (EDM). The current research work aims at investigating the influence of various EDM process parameters like pulse current (Ip), pulse-on time (Ton), tool work time (Tw) and tool lift time (Tup) on various aspects of surface integrity like white layer thickness (WLT), surface crack density (SCD) and surface roughness (SR). The dimensional...
13 p vlute 28/04/2017 694 1
Từ khóa: Electrical Discharge Machining, The EDM Process, AISI P20 tool steel, Fuzzy TOPSIS, Sensitivity analysis
Multi-attribute decision making for green electrical discharge machining
(BQ) This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing.
5 p vlute 28/04/2017 533 1
Từ khóa: Electrical discharge machining, The EDM Process, Green manufacturing, Multi attribute decision making, Fuzzy TOPSIS methods
(BQ) In the study, temperature measurements have been made for Ti–6Al–4V workpieces with various duty factors to clarify the essential causes of difficulty in machining titanium alloys and observe the optimal duty factor in terms of productivity and quality.
7 p vlute 28/04/2017 526 1
Từ khóa: Electrical Discharge Machining, The EDM Process, Temperature stability, Duty factor, Titanium alloys
(BQ) The paper describes the application of the fuzzy logic analysis coupled with Taguchi methods to optimise the precision and accuracy of the high-speed electrical discharge machining (EDM) process. A fuzzy logic system is used to investigate relationships between the machining precision and accuracy for determining the efficiency of each parameter design of the Taguchi dynamic experiments.
10 p vlute 28/04/2017 525 2
Từ khóa: Electrical discharge machining, The EDM Process, Fuzzy logic analysis, Analysis of variance, Machining precision and accuracy
A review on influence of electrical process parameters in EDM process
(BQ) The present study discusses about having an overview of the EDM process, modeling of process parameters, and influence of process parameters such as input electrical variables, pulse shape, and discharge energy on performance measures such as material removal rate, surface roughness and electrode wear rate.
8 p vlute 28/04/2017 357 1
Từ khóa: Electro Discharge Machining, Electrical process parameters, The EDM process, State of art in EDM process, Material Removal Rate