Experimental Investigation of Hole Diameter in Laser Trepan Drilling of Inconel718 Sheet

• Published in: Materials today : proceedings Vol. 4; no. 8; pp. 7599 - 7608
• Main Authors: Dhaker, Kedari Lal, Pandey, Arun Kumar, Upadhayay, B.N.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 2017
• Subjects: Genetic Algorithm; Hole Diameter; Laser trapan Drilling(LTD); Modeling; Optimization; Super alloy; Hole Diameter; Laser trapan Drilling(LTD); Modeling; Optimization; Genetic Algorithm; Super alloy
• ISSN: 2214-7853; 2214-7853
• DOI: 10.1016/j.matpr.2017.07.093

The applications of super alloys have been found in different technologically advanced industries such as aeronautical, marine, automobile and chemical. But the machining of these alloys is very difficult by using conventional machining methods. Laser beam may be used for machining of these materials with high production rate or less machining times. But due to thermal nature of laser machining, dimensional inaccuracy, geometrical defects, surface roughness, recast layer problems may be found. So the analysis of different process parameters on laser machining becomes necessary. The objective of this research article is to investigate the effect of laser process parameter like, Gas pressure, Current, Stand of distance, and trepanning speed (Cutting speed) on the drilled hole diameter in the laser trepan drilling of Inconel718 sheet. Making the small hole of desired size in the aerospace components is challenging task for the manufactures. This paper investigate the effects of the different process parameters on the drilled hole diameter in trepan drilling. The experiments have been conducted by varying one parameter at a time. The experimental data has been used to developed the multi regression model for hole diameter. The statistical analysis of developed model shows that the model is adequate and may be used for the prediction of hole diameter in laser trepan drilling. The hole diameter has been optimized by using genetic algorithm. The optimum result obtained by genetic algorithm shows certain improvement in hole diameter.