Abstract
Surface roughness and heat-affected zone (HAZ) are the important features which influence the performance of the laser-drilled products. Understanding the influence of laser process parameters on these responses and identifying the cutting conditions for simultaneous optimization of these responses are a primary requirement in order to improve the laser drilling performance. Nevertheless, no such contribution has been made in the literature during laser drilling of AISI 303 material. The aim of the present work is to optimize the surface roughness (Ra) and HAZ in fibre laser drilling of AISI 303 material using Taguchi-based grey relational analysis (GRA). From the GRA methodology, the recommended optimum combination of process parameters is flushing pressure at 30 Pa, laser power at 2000 W and pulse frequency at 1500 Hz for simultaneous optimization of Ra and HAZ, respectively. From analysis of variance, the pulse frequency is identified as the most influenced process parameters on laser drilling process performance.
Highlights
The demand for the stainless steel has been increasing tremendously in many fields of industries like automobiles, aviation, aerospace, medical science and household appliances because of their appreciative properties like low thermal conductivity, high strength to weight ratio and corrosion resistance [1]
grey relational analysis (GRA) solves the problems of any system in which relationship among the various multiple performance characteristics and factors is complicated or unclear
The relation between the process parameters and performance characteristics is unclear during laser drilling of AISI 303 material and selection of the right alternative which improves the laser performance is a difficult task
Summary
The demand for the stainless steel has been increasing tremendously in many fields of industries like automobiles, aviation, aerospace, medical science and household appliances because of their appreciative properties like low thermal conductivity, high strength to weight ratio and corrosion resistance [1]. In Parthiban et al [15], optimum process parameters were identified using multi-objective optimization technique namely TOPSIS and observed improved performance in terms of surface roughness and surface crack density at the optimum conditions during drilling of nickel C263 material using picosecond Nd:YAG pulsed laser. Avvari et al [22] performed pulsed Nd:YAG laser drilling process on titanium alloy and grey relational analysis (GRA) has been applied to identify the optimum cutting conditions for improving the material removal rate (MRR) and hole taper angle. Aslantas et al.[25] determined optimum micro-milling process parameters during machining of Ti6Al-4 V alloy using GRA and obtained significant improvement in performance in terms of burr width and surface roughness at the optimum cutting conditions. ANOVA has been carried to identify the most influenced process parameter in laser drilling process performance
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
