Parametrical optimization of laser surface alloyed NiTi shape memory alloy with Co and Nb by the Taguchi method

Ng, K. W., Man, H. C., Lawrence, Jonathan and Yue, T. M. (2009) Parametrical optimization of laser surface alloyed NiTi shape memory alloy with Co and Nb by the Taguchi method. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223 (8). pp. 969-979. ISSN 0954-4054

Full content URL: http://dx.doi.org/10.1243/09544054JEM1291

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Proceedings of the Institution of Mechanical Engineers, Part B- Journal of Engineering Manufacture-2009-Ng-969-79.pdf
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Abstract

Different high-purity metal powders were successfully alloyed on to a nickel titanium (NiTi) shape memory alloy (SMA) with a 3 kW carbon dioxide (CO2) laser system. In order to produce an alloyed layer with complete penetration and acceptable composition profile, the Taguchi approach was used as a statistical technique for optimizing selected laser processing parameters. A systematic study of laser power, scanning velocity, and pre-paste powder thickness was conducted. The signal-to-noise ratios (S/N) for each control factor were calculated in order to assess the deviation from the average response. Analysis of variance (ANOVA) was carried out to understand the significance of process variables affecting the process effects. The Taguchi method was able to determine the laser process parameters for the laser surface alloying technique with high statistical accuracy and yield a laser surface alloying technique capable of achieving a desirable dilution ratio. Energy dispersive spectrometry consistently showed that the per cent by weight of Ni was reduced by 45 per cent as compared with untreated NiTi SMA when the Taguchi-determined laser processing parameters were employed, thus verifying the laser's processing parameters as optimum.

Keywords:NiTi, Laser surface alloying, Taguchi method
Subjects:J Technologies > J511 Engineering Materials
J Technologies > J510 Materials Technology
Divisions:College of Science > School of Engineering
ID Code:8873
Deposited On:11 Apr 2013 16:50

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