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Experimental Study on the Through-Mask Electrochemical Micromachining (EMM) Process

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Abstract:

Surface texturing is a widely accepted approach for friction reduction in mechanical components. Through-mask electrochemical micromachining (EMM) is a simple and reliable process for mass manufacturing of microstructure array on metal surface. However, to obtain engineered surface texture with a prescribed shape, size, orientation, and distribution to investigate how forms and shapes of surface texturing affect the tribological properties on interacting surfaces, the machining conditions still need to be optimized. In this work, the electroetching conditions involving the formulation of the electrolyte, voltage, current density, machining gap and agitation method are optimized. With the optimized conditions, the ordered microstructures with a feature size down to 5m and smooth etched surface in large-scale are obtained and the preliminary friction drag reduction effect of the textured surface is demonstrated.

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Periodical:

Advanced Materials Research (Volumes 189-193)

Pages:

692-696

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.189-193.692

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Online since:

February 2011

Authors:

Quan Dai Wang, Ji Ming Xiao, Yan Li

Keywords:

Process Optimisation, Surface Texture, Through-Mask Electrochemical Micromachining

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] R.B. Siripuram, L.S. Stephens: J Tribol-T ASME Vol. 126(3)(2004), p.527.

Google Scholar

[2] I. Etsion I : J Tribol-T ASME Vol. 127(1)(2005), p.248.

Google Scholar

[3] KH. Z. Gahr, S. Schreck: Appl Surf Sci Vol. 247(1-4)(2005), p.616.

Google Scholar

[4] I. Etsion: Tribl Lett Vol. 17(4)(2004), p.733.

Google Scholar

[5] L. S. Stephens, R. Siripuram, M. Hayden, B. Mccartt: J Eng Gas Turb Power Vol. 126(1)(2004), p.147.

Google Scholar

[6] X. L. Wang, K. Kato: Tribl Lett Vol. 14(4)(2003), p.275.

Google Scholar

[7] R. Schuster, V. Kirchner, P. Allongue, G. Ertl: Science Vol. 289(5476)(2000), p.98.

DOI: 10.1126/science.289.5476.98

Google Scholar

[8] D. Landolt, P. F. Chauvy, O. Zinger: Electrochim Acta Vol. 48(20-22)(2003), p.3185.

Google Scholar

[9] E. Bonaccurso, H. J. Butt, V. S.J. Craig: Phys Rev Lett Vol. 90(14)(2003), p.1445011.

Google Scholar

[10] C. C. Bizonne, J. L. Barrat, L. Bocquet, E. Charlaix: Nat Mater Vol. 2(4)(2003), P. 237.

Google Scholar

[11] M. Masashi, N. Akira, F. Akira, H. Kazuhito, W. Toshiya: Langmuir Vol. 16(13)(2000), p.5754.

Google Scholar

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