Hole Quality Assurance by Optimization of Drilling Parameters Using Cuckoo Search Algorithm

Abstract

In order to obtain better hole quality (surface finish and hole diameter) in the least possible machining time, a befitting set of drilling parameters has to be identified. Therefore arises the necessity of a technique to devise the methodology for attaining the required set of parameters. Trial experiments were conducted on low carbon steel (SA515gr70) using an indexable drill as a tool. The mathematical modeling was based on experimental values obtained using full factorial DOE. The mathematical models of machining time, surface roughness, hole diameter were expressed a function of the input parameters cutting speed and feed. Cuckoo Search is carried out so as to retrieve the ideal set of drilling parameters to have a minimal machining time in order to get the desired surface finish and hole tolerance. Cuckoo search’s ability to predict has been verified and the related results are presented

Authors and Affiliations

K. PALAKSHA REDDY, B. MOHAMMED THARIK, S. SANTHOSH KUMAR

Keywords

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  • EP ID EP347036
  • DOI 10.24247/ijmperdapr20182
  • Views 83
  • Downloads 0

How To Cite

K. PALAKSHA REDDY, B. MOHAMMED THARIK, S. SANTHOSH KUMAR (2018). Hole Quality Assurance by Optimization of Drilling Parameters Using Cuckoo Search Algorithm. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ), 8(2), 11-20. https://europub.co.uk/articles/-A-347036