Plasma electrolytic oxidation (PEO) is a surface modification process which confers wear and corrosion resistance to light alloys such as aluminium, magnesium and titanium. PEO has been a commercial process for a number of years, developed heavily by Keronite Ltd. However, much of the commercial research is driven by customer needs, with the process being optimised on a case by case basis.
This project is aimed at understanding the fundamental processes involved in PEO, with a view to improve the industrial process. Understanding the process further will allow a degree of control over the microstructure and properties of coatings, and potentially improve the efficiency of the process. Currently the process is very energy intensive, limiting its widespread use. Oxidation is an exothermic process, so should liberate energy on conversion of the substrate metal to its oxide. However, PEO requires large amounts of energy to drive the formation of plasma discharges. The formation of such plasmas is thought to provide mechanism for exposing the substrate metal to oxygen in some form. The plasmas are short lived and the heat generated by the plasmas is quickly dissipated in the electrolyte and wasted.
Previous work in the group has developed methodologies for monitoring the electrical characteristics of discharges during PEO. [1-3] This has been coupled with optical emission spectroscopy (OES) to determine the species present, the electron densities and the temperatures in the plasmas.
This project will involve characterisation of individual discharges by high speed photography with time resolutions of ~5 microseconds — see figure 1 . Work so far has shown that discharges occur in cascades in well-defined physical locations, and extend over several periods of the applied voltage. Figure 1(a) shows a superimposition of all the frames captured in a 100 ms of video. There is just one very bright spot, corresponding to a discharge location. Figure 1(b) shows the integration of the light intensity for each frame as a function of time - showing that there are multiple peaks in light intensity due to discharge events over at least five periods of the applied voltage - and figure 1(c) is the same as (b) but summed only from a circle around the bright spot in (a). This confirms that all the discharges did occur just at this location. Figure 1(d) shows a higher resolution plot of (c), showing multiple discharge events at the same location within one anodic half-period, with a typical voltage profile superimposed. These results are important in understanding the mechanisms by which discharges occur.
Figure 1. Information relating to a sequence of 17,500 images (exposure time ~ 5.5 μs, pixel size 12 μm) from a PEO coating ~ 50 μm in thickness, showing (a) a superimposition of the complete sequence, (b) total summed light intensity for each frame, as a function of time, (c) as for (b), but taken only from the bright area (circle of 288 μm diameter) in (a), and (d) higher resolution plot of part of (c), approximately covering an anodic half-cycle, with a typical measured voltage profile during such a period superimposed.
High speed camera video has been synchronised with small area electrical monitoring - this allows us to make correlations between discharge electrical profiles and the optical characteristics of discharges. Strong illumination has been used in order to see the dynamics of the gas bubble generated by a discharge. This information, combined with electrical data, allowed a semi-quantitative energy audit of an individual discharge to be carried out. A schematic representation of this is shown in Figure 2. The energy required to generate the plasma is actually only a fraction of the input electrical energy, and we concluded that the main energy absorption mechanism was actually the transient vaporisation of electrolyte surrounding the discharge site. When the discharge current stops the gas bubble quenches and heats up the surrounding electrolyte. Further information on this work can be found in .
Figure 2. Semi-quantitative plot showing how the total (electrically-injected) energy changes during formation of the individual discharge under consideration here, and how it is converted between different forms during and immediately after the discharge period.
Further work will focus on the effects of frequency (up to 2500 Hz) on the discharge characteristics, and how these affect the coating properties and microstructure. Work will study the effects of the applied waveform and electrolyte composition with the aim gaining a deeper understanding the process mechanisms.
With improved understanding of coating formation a numerical process model will be developed using COMSOL. This should allow new components to be modelled and optimised for the PEO process.
 CS Dunleavy, IO Golosnoy, JA Curran, TW Clyne "Characterisation of discharge events during plasma electrolytic oxidation" Surface and Coatings Technology, 203, 22 (2009): 3410-3419
 CS Dunleavy, JA Curran, TW Clyne "Self-similar scaling of discharge events through PEO coatings on aluminium" Surface and Coatings Technology, 206, 6 (2011): 1051-1061
 CS Dunleavy, JA Curran, TW Clyne "Time dependent statistics of plasma discharge parameters during bulk AC plasma electrolytic oxidation of aluminium" Applied Surface Science, 268 (2013): 397-409
 A Nomine, SC Troughton, AV Nomine, G Henrion, TW Clyne "High Speed Video Evidence for Localised Discharge Cascades during Plasma Electrolytic Oxidation" Surface & Coatings Technology, 269 (2015) 125-130
 SC Troughton, A Nominé, AV Nominé, G Henrion, TW Clyne "Synchronised electrical monitoring and high speed video of bubble growth associated with individual discharges during plasma electrolytic oxidation" Applied Surface Science, 359 (2015) 405-411