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

• Main Authors: Khan, Md. Ashikur Rahman, Maleque, Md. Abdul, Rahman, M.M. Hafizur, Kadirgama, K., Abu Bakar, Rosli
• Format: Article
• Language: English; 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/50011/1/P49b_2011_UMP.pdf; http://irep.iium.edu.my/50011/4/50011_Artificial%20intelligence%20model%20to%20predict%20surface.pdf; http://irep.iium.edu.my/50011/; http://waset.org/Publication/artificial-intelligence-model-to-predict-surface-roughness-of-ti-15-3-alloy-in-edm-process/5730

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...