Multi-Objective parametric optimization during micro-EDM drilling of Ti-6Al-4 V using teaching learning Based optimization algorithm
Narender Singh, Pushpendra S. Bharti
Abstract
The current paper investigates responses such as drilling rate (DR) and tool wear rate (TWR) experimentally for Electric discharge machining (EDM) during micro-hole drilling on titanium alloy with brass tool. The experiments are conducted using response surface methodology (RSM) based central composite design (CCD). Three process parameters like current, pulse-on-time and pulse-off-time are investigated for two responses: DR and TWR through experimentation. After conducting experiments, the effect of each parameter on responses has been found. Single and multi-objective optimization have been done using Teaching Learning Based Optimization (TLBO) algorithm to find the optimal combination of procedure parameters for maximum DR and minimum TWR. The confirmative test has been performed to verify the result of multi-objective optimization. A difference of<5% has been found between experimental and predicted values using the TLBO algorithm. The microstructure of the micro-drill machined surface is studied through SEM images.