BCCS Approach for the Parametric Optimization in Machining of Nimonic-263 alloy using RSM

Abstract

Machining of nickel-based alloys is one of the testing undertakings in the current research knowledge. Wire Electrical Discharge Machine (WEDM) is a propelled machine apparatus, broadly used to cut hard metals like nickel, titanium and other super composite alloys. Determination of WEDM process parameters to yield the coveted level of execution measures like metal removal rate and surface roughness is significant from quality and financial perspectives. In the present work an endeavor has been made to examine the impact of WEDM process parameters, for example, pulse on time, pulse off time, peak current and servo voltage in machining of Nimonic-263 alloys. A focal composite face focused outline of Response Surface Methodology (RSM) has been utilized for exploratory arrangement. The noteworthiness of process parameters are assessed by ANOVA investigation. Scientific forecast models are produced for metal removal rate and surface roughness by response surface methodology. In this paper a novel Hybrid Bee Colony Cuckoo Search (BCCS) optimization algorithm is incorporated to boost the process performance. The outcome of RSM and BCCS is compared and it shows the execution of the BCCS is superior to that of RSM. The machining information gathered for the Nimonic-263 amalgam will be valuable for the organization respectively.