Micro-EDM optimization through particle swarm algorithm and artificial neural network
In the present study, an artificial neural network (ANN) together with a heuristic algorithm,
called particle swarm optimization (PSO), was used to set up a methodology for selecting the …
called particle swarm optimization (PSO), was used to set up a methodology for selecting the …
[PDF][PDF] A review of research on improvement and optimization of performance measures for electrical discharge machining
CR Sanghani, GD Acharya - Journal of Engineering Research and …, 2014 - academia.edu
Abstract Electrical Discharge Machining (EDM) is a non conventional machining method
which can be used to machine electrically conductive work pieces irrespective of their …
which can be used to machine electrically conductive work pieces irrespective of their …
A comparison between finite element model (FEM) simulation and an integrated artificial neural network (ANN)-particle swarm optimization (PSO) approach to forecast …
Artificial Neural Network (ANN), together with a Particle Swarm Optimization (PSO) and
Finite Element Model (FEM), was used to forecast the process performances for the Micro …
Finite Element Model (FEM), was used to forecast the process performances for the Micro …
Modeling of Dry EDM process parameters during machining of Inconel 718 using artificial neural network
AS Bhandare, UA Dabade - Materials Today: Proceedings, 2024 - Elsevier
Dry EDM is a modified technique with substituted gaseous medium instead of liquid
dielectrics in the usual EDM phase. In this work, dry EDM attempt is made with copper …
dielectrics in the usual EDM phase. In this work, dry EDM attempt is made with copper …
Performance evaluation of TWIST welding using machine learning assisted evolutionary algorithms
The Transmission welding using incremental scanning technique (TWIST) combines linear
feed with an oscillating laser beam to enhance weld quality and expand the process …
feed with an oscillating laser beam to enhance weld quality and expand the process …
A novel efficient big data processing scheme for feature extraction in electrical discharge machining
CC Chen, MH Hung, B Suryajaya… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Electrical discharge machining (EDM) can machine hard conductive workpieces that are
difficult to machine using traditional machining techniques. For monitoring the EDM process …
difficult to machine using traditional machining techniques. For monitoring the EDM process …
Comparison studies of electrical discharge machining (EDM) process model for low gap current
This paper aims to compare the material removal rate, ν between a Dimensional Analysis
(DA) model, an Artificial Neural Network (ANN) model and an experimental result for a low …
(DA) model, an Artificial Neural Network (ANN) model and an experimental result for a low …
Artificial Neural Network prediction model for MRR in WEDM of WC-Co
Y Sable, HM Dharmadhikari - Materials Today: Proceedings, 2023 - Elsevier
The studied work aimed to develop the predictive models of removal rate of WC-Co
composite material in WEDM. Back prorogation algorithm of ANN is used to predict the MRR …
composite material in WEDM. Back prorogation algorithm of ANN is used to predict the MRR …
[PDF][PDF] Model of pulsed electrical discharge machining (EDM) using RL circuit
AEB Minhat, NHB Hj, AB Yahya… - Int. J. Power Electron …, 2014 - academia.edu
This article presents a model of pulsed Electrical Discharge Machining (EDM) using RL
circuit. There are several mathematical models have been successfully developed based on …
circuit. There are several mathematical models have been successfully developed based on …
Model of pulse power generator in electrical discharge machining (EDM) system
Electrical discharge machining (EDM) is a non-traditional manufacturing process of
removing material. EDM system consists of a shaped tool and the work piece, which are …
removing material. EDM system consists of a shaped tool and the work piece, which are …