Open AccessParticle Swarm Optimisation of Hole Quality Characteristics in Laser Trepan Drilling of Inconel 718
Author(s) -
Kedari Lal Dhaker,
Arun Kumar Pandey
Publication year - 2019
Publication title -
defence science journal/defence science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.198
H-Index - 32
eISSN - 0976-464X
pISSN - 0011-748X
DOI - 10.14429/dsj.69.12879
Subject(s) - inconel , laser drilling , particle swarm optimization , laser , drilling , deep hole drilling , materials science , mechanical engineering , particle (ecology) , mechanics , computer science , optics , alloy , engineering , metallurgy , geology , physics , algorithm , oceanography
Inconel-718 is a nickel based super alloy and is extensively in use for working at very high temperature (upto 2000 °C) such as aero engine gas path equipment, nuclear equipment etc. Drilling micro size hole in such material with laser beam has been a proven choice and laser drilling process produces geometrically and dimensionally improved hole. Hole geometrical features can be improved further if laser drilling system operated at optimal input parameter setting. This paper experimentally investigates the behavior of hole geometrical features hole circularity and hole taper in laser trepan drilling of Inconel -718 sheet. Optimal value of laser input parameters for improved hole circularity and reduced hole taper have been suggested with the help of computational intelligence technique particle swarm optimisation. The effect of each laser input parameter on hole quality characteristics are also discussed and demonstrated graphically. Finally the experimental validation of the predicted results has been carried out.