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/ http://umpir.ump.edu.my/id/eprint/6844/ 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) -
Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model
by: Rahman Khan, Md. Ashikur, et al.
Published: (2011) -
Prediction of surface roughness of ti-6al-4v in electrical discharge machining: a regression model
by: Khan, Md. Ashikur Rahman, et al.
Published: (2011) -
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 of titanium alloy in electric discharge machining based on artificial neural network
by: Liew, Annie Ann Nee
Published: (2010)