Gravitational Search Algorithm - Based Optimization of Process Parameters in Micro Turning Process

M. Durairaj; S. Gowri

doi:10.4028/www.scientific.net/AMM.592-594.391

Paper Titles

Finite Element Modeling of TIG Welding of Aisi 304l Stainless Steel and Experimental Validation
p.368

Finite Element Simulation of A-TIG Welding of Duplex Stainless Steel 2205 Using SYSWELD
p.374

Fire Properties of Elephant Grass Fiber and Glass Fiber Reinforced Polyester Composites
p.380

Formation and Structural Characterization of Electroless Ni-B-P Ternary Alloy Coatings
p.385

Gravitational Search Algorithm - Based Optimization of Process Parameters in Micro Turning Process
p.391

Heat Transfer Modelling and Investigation of the Effect of Pulse Frequency and Current in Pulsed Current Gas Tungsten Arc Welding
p.395

Influence of Built Orientation on Mechanical Properties in Fused Deposition Modeling
p.400

Influence of Electrical Discharge Machining Parameters on Surface Roughness in Machining of Al 6061-TiB₂/ZrB₂ In Situ Metal Matrix Composite
p.405

Influence of Experimental Environment on the Enhancement of Ultra Fine Grain Structure with Optimum Ductility of Equal Channel Angular Pressed Copper
p.410

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 592-594Gravitational Search Algorithm - Based...

Gravitational Search Algorithm - Based Optimization of Process Parameters in Micro Turning Process

Abstract:

Micro turning is a scaled down version of conventional turning process, but operating on the micro scale of machining parameters to produce micro components. This paper deals with CNC Micro turning of Inconel 600 alloy with titanium carbide coated tool. Two conflicting objectives, surface roughness and tool flank wear, are simultaneously optimized. Full factorial experiments were taken with several combinations of cutting speed, feed and depth of cut. In this report, a new optimization algorithm based on the law of gravitation and mass interactions, namely Gravitational Search Algorithm (GSA) is aimed to predict the optimal parameter conditions for controlling tool flank wear and better surface finish.

You might also be interested in these eBooks

Dynamics of Machines and Mechanisms, Industrial Research

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 592-594)

Pages:

391-394

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.592-594.391

Citation:

Cite this paper

Online since:

July 2014

Authors:

M. Durairaj*, S. Gowri

Keywords:

Flank Wear, Gravitational Search Algorithm, Micro Turning, Optimization, Surface Roughness (SR)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] M.A. Rahman, M. Rahman, A. Senthil Kumar, H.S. Lim A.B.M.A. Asad, Fabrication of miniature components using microturning, Proceedings of the Fifth International Conference on Mechanical Engineering, Dhaka(2003) pp. AM-35.

Google Scholar

[2] M. Durairaj and S. Gowri, Optimization of Inconel 600 Alloy Micro Turning Process Using Grey Relational Analysis, Advanced Materials Research Vol. 576 (2012) pp.548-551.

DOI: 10.4028/www.scientific.net/amr.576.548

Google Scholar

[3] Ramon Quiza Sardinas, Marcelino Rivas Santana, Eleno Alfonso Brindis, Genetic algorithm based multi-objective optimization of cutting parameters in turning processes, Engineering Applications of Artificial Intelligence. 19 (2006) 127–133.

DOI: 10.1016/j.engappai.2005.06.007

Google Scholar

[4] M. Durairaj and S. Gowri, 2012, Parametric Optimization for Improved Tool Life and Surface Finish in Micro Turning using Genetic Algorithm, Procedia Engineering 64 (2013) pp.878-887.

DOI: 10.1016/j.proeng.2013.09.164

Google Scholar

[5] Esmat Rashedi, Hossein Nezamabadi-pour, Saeid Saryazdi, GSA: A Gravitational Search Algorithm, Information Sciences 179 (2009) 2232–2248.

DOI: 10.1016/j.ins.2009.03.004

Google Scholar