Optimization of machining parameters of titanium alloy in electric discharge machining based on artificial neural network
This report presents the artificial neural network 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 how the peak current, ser...
Saved in:
Main Author: | Liew, Annie Ann Nee |
---|---|
Format: | Undergraduates Project Papers |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/1403/1/7._Liew%2C_Annie_Ann_Nee_%28_CD_5032%29.pdf http://umpir.ump.edu.my/id/eprint/1403/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of the electrical discharge machining performance on titanium alloy by using statistical method
by: Maizatul Asnida, Hassan
Published: (2013) -
Machine Parameter Optimization For Wire-Electric Discharge Machining
by: F. R. M., Romlay, et al.
Published: (2008) -
Titanium alloy particles formation in electrical discharge machining and fractal analysis
by: Khilji, Irshad Ahamad, et al.
Published: (2022) -
Hybrid artificial fish and glowworm swarm optimization algorithm for electrical discharge machining of titanium alloy
by: Zainal, Nurezayana
Published: (2018) -
Multiple objective optimization of electrical discharge machining on titanium alloy using grey relational analysis
by: Muhammad Aliff Nazreen, Norazmi
Published: (2012)