Parametric optimisation of Nd:YAG laser micro-drilling of alumina using NSGA II

被引：0

作者：

ZS Assoc., Magarpatta Cybercity, Tower - 12, Level-6, Pune ^{[1
]}

411013, India

不详 ^{[2
]}

700032, India

机构：

[1] ZS Assoc., Magarpatta Cybercity, Tower - 12, Level-6, Pune

[2] Production Engineering Department, Jadavpur University, Kolkata

来源：

Int. J. Mach. Mach. Mater. | / 1卷 / 1-21期

关键词：

alumina; analysis of variance; ANOVA; ceramics; HAZ; LBM; micro-drilling; micro-machining; modelling; non-dominated sorting genetic algorithm II; non-traditional machining; NSGA II; optimisation; parametric influence; response surface methodology; taper;

D O I：

10.1504/IJMMM.2015.069209

中图分类号：

学科分类号：

摘要：

Laser micro-drilling is potent enough to replace the mechanical removal methods in many industrial applications especially for machining of difficult-to-cut materials like ceramics and composites. In the present study, laser micro-drilling of alumina has been investigated experimentally. Nd:YAG laser of wavelength of 1.06 μm is used to investigate process parameters such as lamp current, pulse frequency, air pressure and pulse width. Response surface methodology is adapted to perform experimental design and also to develop the mathematical relationships relating input and output process parameters. Since the responses are conflicting in nature, it is difficult to obtain a single combination of cutting parameters satisfying both the objectives in any one solution. Therefore, it is essential to explore the optimisation landscape to generate the set of dominant solutions. Further, this study adapted non-dominated sorting genetic algorithm II (NSGA II) to optimise the responses such that a set of mutually dominant solutions are found. Copyright © 2015 Inderscience Enterprises Ltd.

引用

页码：1 / 21

页数：20

共 34 条

[1]

Almeida I.A., Et al., Optimization of titanium cutting by factorial analysis of the pulsed Nd:YAG laser parameters, Journal of Materials Processing Technology, 179, 1-3, pp. 105-110, (2006)

[2]

Bandopadhyay S., Sarin Sundar J., Sundararajan G., Joshi S.V., Geometrical features and metallurgical characteristics of Nd:YAG laser drilled holes in thick IN718 and Ti-6Al-4V sheets, Journal of Materials Processing Technology, 127, 1, pp. 83-95, (2002)

[3]

Biswas R., Kuar A., Sarkar S., Mitra S., A parametric study of pulsed Nd:YAG laser micro-drilling of gamma-titanium aluminide, Optics & Laser Technology, 42, 1, pp. 23-31, (2010)

[4]

Biswas R., Kuar A.S., Mitra S., Multi-objective optimization of hole characteristics during pulsed Nd:YAG laser microdrilling of gamma-titanium aluminide alloy sheet, Optics and Lasers in Engineering, September, 60, pp. 1-11, (2014)

[5]

Caydas U., Hascalik A., Use of grey relation analysis to determine optimum laser cutting parameters with multi-performance characteristics, Optics & Laser Technology, October, 40, 7, pp. 987-994, (2008)

[6]

Ciurana J., Arias G., Ozel T., Neural network modeling and particle swarm optimization (PSO) of process parameters in pulsed laser micromachining of hardened AISI H13 steel, Materials and Manufacturing Processes, 24, 3, pp. 358-368, (2009)

[7]

Coello C.A.C., Vendhuizen D.A.V., Lamont G., Evolutionary Algorithms for Solving Multi-Objective Problems, (2002)

[8]

Corcoran A., Et al., The laser drilling of multi-layer aerospace material systems, Journal of Materials Processing Technology, 123, 1, pp. 100-106, (2002)

[9]

Deb K., Multi-Objective Optimization Using Evolutionary Algorithms, (2001)

[10]

Deb K., Datta R., Hybrid evolutionary multi-objective optimization and analysis of machining operations, Engineering Optimization, 44, 6, pp. 685-706, (2011)

← 1 2 3 4 →