Modeling of Machining Parameters of Ti-6Al-4V for Electric Discharge Machining: A Neural Network Approach
This paper presents the artificial intelligence model to predict the optimal machining parameters for Ti-6Al-4V through electrical discharge machining (EDM) using copper as an electrode and positive polarity of the electrode. The objective of this paper is to investigate the peak current, servo volt...
Main Author: | M. M., Rahman |
---|---|
Format: | Article |
Language: | English |
Published: |
Academic Journals
2012
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/6844/1/Modelling_of_Machining_Parameters_of_Ti-64I-4V_for_electric_discharge_machining.pdf |
Similar Items
-
Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model
by: M., Ishak, et al.
Published: (2011) -
Machine Parameter Optimization For Wire-Electric Discharge Machining
by: F. R. M., Romlay, et al.
Published: (2008) -
Optimization of machining parameters of titanium alloy in electric discharge machining based on artificial neural network
by: Liew, Annie Ann Nee
Published: (2010) -
Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining
by: Khan, Md. Ashikur Rahman, et al.
Published: (2014) -
Optimization of Machining Parameters on Surface Roughness in EDM of Ti-6AI-4V using Response Surface Method
by: M. M., Rahman, et al.
Published: (2011)