N. Ganesh1, R. K. Ghadai2, A. K. Bhoi3, K. Kalita4,*, Xiao-Zhi Gao5
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 459-476, 2020, DOI:10.32604/cmes.2020.09645
- 20 July 2020
Abstract Electrical Discharge Machining (EDM) is a popular non-traditional
machining process that is widely used due to its ability to machine hard and brittle
materials. It does not require a cutting tool and can machine complex geometries
easily. However, it suffers from drawbacks like a poor rate of machining and
excessive tool wear. In this research, an attempt is made to address these issues
by using an intelligent predictive model coupled global optimization approach
to predict suitable combinations of input parameters (current, pulse on-time and
pulse off-time) that would effectively increase the material removal rate and More >
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