Analysis and optimization of laser drilling process during machining of AISI 303 material using grey relational analysis approach
Autor: | V. Chengal Reddy, T. Nishkala, G. Maruthi Prasad Yadav, Thota Keerthi |
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Rok vydání: | 2021 |
Předmět: |
0209 industrial biotechnology
Materials science General Chemical Engineering General Engineering General Physics and Astronomy Mechanical engineering 02 engineering and technology 021001 nanoscience & nanotechnology Laser Grey relational analysis law.invention Taguchi methods 020901 industrial engineering & automation Machining law Fiber laser Surface roughness General Earth and Planetary Sciences General Materials Science Laser power scaling 0210 nano-technology General Environmental Science Laser drilling |
Zdroj: | SN Applied Sciences. 3 |
ISSN: | 2523-3971 2523-3963 |
Popis: | 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. |
Databáze: | OpenAIRE |
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