Artificial intelligence model to predict surface roughness of Ti-15-3 alloy in EDM process

Artificial intelligence model to predict surface roughness of Ti-15-3 alloy in EDM process

Conventionally the selection of parameters depends intensely on the operator’s experience or conservative technological data provided by the EDM equipment manufacturers that assign inconsistent machining performance. The parameter settings given by the manufacturers are only relevant with common s...

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Bibliographic Details
Main Authors: Khan, Md. Ashikur Rahman, Maleque, Md. Abdul, Rahman, M.M. Hafizur, Kadirgama, K., Abu Bakar, Rosli
Format: Article
Language:English
Published: World Academy of Science, Engineering and Technology 2011
Subjects:
T173.2 Technological change
TA213 Engineering machinery, tools, and implements
TA401 Materials of engineering and construction
TS200 Metal manufactures. Metalworking
Online Access:http://irep.iium.edu.my/50011/
http://irep.iium.edu.my/50011/
http://irep.iium.edu.my/50011/1/P49b_2011_UMP.pdf

Internet

http://irep.iium.edu.my/50011/
http://irep.iium.edu.my/50011/
http://irep.iium.edu.my/50011/1/P49b_2011_UMP.pdf

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