Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining
The problem appeared owing to selection of parameters increases the deficiency of electrical discharge machining (EDM) process. Modelling can facilitate the acquisition of a better understanding of such complex process, save the machining time and make the process economic. Thus, the present work em...
Main Authors: | Khan, Md. Ashikur Rahman, M. M., Rahman, K., Kadirgama |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2014
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/1/Neural_Network_Modeling_and_Analysis_for_Surface_Characteristics_in_Electrical_Discharge_Machining.pdf |
Similar Items
-
Surface Characteristics of Ti-5Al-2.5Sn in Electrical Discharge Machining Using Negative Polarity of Electrode
by: Khan, Md. Ashikur Rahman, et al.
Published: (2017) -
Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model
by: M., Ishak, et al.
Published: (2011) -
Modeling of Machining Parameters of Ti-6Al-4V for Electric Discharge Machining: A Neural Network Approach
by: M. M., Rahman
Published: (2012) -
Surface Study in a Non-conventional (Electrical Discharge Machining) Process for Grade 6 Titanium Material
by: Md. Ashikur, Rahman Khan, et al.
Published: (2014) -
Optimal Set-up and Surface Finish Characteristics in Electrical Discharge Machining on Ti-5al-2.5sn using Graphite
by: Khan, Md. Ashikur Rahman, et al.
Published: (2016)