Prediction of material removal rate and tool wear rate in electrical discharge machining using feedforward neural network / Zaid Mohd Hanapiah.
Electrical discharge machining (EDM) is one of the widely used non-traditional machining techniques for manufacturing geometrically complex or hard material parts. The EDM process uses repeated electrical discharges between electrode and workpiece to remove material which are submerged in a dielectr...
Saved in:
Main Author: | Mohd Hanapiah, Zaid |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/38954/1/38954.pdf http://ir.uitm.edu.my/id/eprint/38954/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Wear analysis of piston ring / Muhammad Ridzuwan Tukimin ...[et
al.]
by: Tukimin, Muhammad Ridzuwan, et al.
Published: (2002) -
Mini moveable grocery basket / Muhammad Irfan Aiman Hanapiah
by: Hanapiah, Muhammad Irfan Aiman
Published: (2022) -
Design and fabricate of barnacle remover machine with wire brush and scrapper / Muhammad Aiman Mohammad @ Yusoff
by: Mohammad @ Yusoff, Muhammad Aiman
Published: (2010) -
Design and fabricate biaxial loading fixture / Mohd Zaid Nordin.
by: Nordin, Mohd Zaid
Published: (2009) -
Effect of loading rates to the fracture toughness on carbon manganese steel ASTM 516 grade 70 / Abdullah Abd. Ghani and Mohd Fadhir Abd. Rahman
by: Abd. Ghani, Abdullah, et al.
Published: (1996)