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An Intelligent Automated Control System of Micro Arc Oxidation Process

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Advances in Automation (RusAutoCon 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 641))

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Abstract

The intelligent automated control system of management of technological processes of micro arc oxidation is developed enabling to implement controlled synthesis of oxide coatings with required properties. The structure of the intelligent system of micro arc oxidation process consists of hardware, software and information support. The controlled synthesis of oxide coatings is reached by using techniques developed by the authors. The system realizes an intelligent choice of optimum technological mode based on present information of theoretical and empirical laws of process of micro-arc oxidation contained in the knowledge bank, as well as the intelligent algorithm of identification of the alloy composition on the angular factor of forming curve. Presence “parameter of technological process - property of coating” in the system of feedback in combination with the ability to adjust the technological current over a wide range, promotes maintenance of optimum technological mode throughout all the time of processing of the item. The device can be used in industries, where valve metals and alloys, (aluminum, titanium, etc.) as well as in scientific researches are used.

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References

  1. Yao, Z., Shen, Q., Niu, A., et al.: Preparation of high emissivity and low absorbance thermal control coatings on Ti alloys by plasma electrolytic oxidation. Surf. Coat. Technol. 242, 146–151 (2014)

    Article  Google Scholar 

  2. Chung, C.J., et al.: Plasma electrolytic oxidation of titanium and improvement in osseointegration. J. Biomed. Mater. Res., Part B 101, 1023–1030 (2013)

    Article  Google Scholar 

  3. Liu, Y., Liskiewicz, T., Yerokhin, A., et al.: Fretting wear behavior of duplex PEO/chameleon coating on Al alloy. Surf. Coat. Technol. 352, 238–246 (2018)

    Article  Google Scholar 

  4. Gnedenkov, S.V., Sinebryukhov, S.L., Mashtalyar, D.V., et al.: Composite fluoropolymer coatings on the MA8 magnesium alloy surface. Corros. Sci. 111, 175–185 (2016)

    Article  Google Scholar 

  5. Chien, C., Hung, Y., Hong, T., et al.: Preparation and characterization of porous bioceramic layers on pure titanium surfaces obtained by micro-arc oxidation process. Appl. Phys. A 123, 204 (2017)

    Article  Google Scholar 

  6. Krishtal, M.M., Ivashin, P.V., Polunin, A.V., et al.: The effect of dispersity of silicon dioxide nanoparticles added to electrolyte on the composition and properties of oxide layers formed by plasma electrolytic oxidation on magnesium 9995A. Mater. Let. 241, 119–122 (2019)

    Article  Google Scholar 

  7. Wei, F., Zhang, W., Zhang, T.: Effect of variations of Al content on microstructure and corrosion resistance of PEO coatings on Mg-Al alloys. J. Alloy. Compd. 690, 195–205 (2017)

    Article  Google Scholar 

  8. Mohedano, M., Mingo, B., Arrabal, R., et al.: Role of particle type and concentration on characteristics of PEO coatings on AM50 magnesium alloy. Surf. Coat. Technol. 334, 328–335 (2018)

    Article  Google Scholar 

  9. Darband, B., Aliofkhazraei, M., Hamghalam, P., et al.: Plasma electrolytic oxidation of magnesium and its alloys: Mechanism, properties and applications. J. Magnes. Alloy. 5, 74–132 (2017)

    Article  Google Scholar 

  10. Friedemann, A.E.R., Thiel, K., Hablinger, U., et al.: Investigations into the structure of PEO-layers for understanding of layer formation. Appl. Surf. Sci. 443, 467–474 (2018)

    Article  Google Scholar 

  11. Nabavi, H.F., Aliofkhazraei, M., Rouhaghdam, A.S.: Morphology and corrosion resistance of hybrid plasma electrolytic oxidation on CP-Ti. Surf. Coat. Technol. 322, 59–69 (2017)

    Article  Google Scholar 

  12. Cheng, Y., et al.: The effects of anion deposition and negative pulse on the behaviours of plasma electrolytic oxidation. A systematic study of the PEO of a Zirlo alloy in aluminate electrolytes. Electrochim. Acta 225, 47–68 (2017)

    Article  Google Scholar 

  13. Sowa, M., Worek, J., Dercz, G., et al.: Surface characterization and corrosion behavior of niobium treated in a Ca- and P-containing solution under sparking conditions. Electrochim. Acta 198, 91–103 (2016)

    Article  Google Scholar 

  14. Xia, Q., et al.: Effects of electric parameters on structure and thermal control property of PEO ceramic coatings on Ti alloys. Surf. Coat. Technol. 307, 1284–1290 (2016)

    Article  Google Scholar 

  15. Cheng, Y., Cao, J., Mao, M., et al.: Key factors determining the development of two morphologies of plasma electrolytic coatings on an Al–Cu–Li alloy in aluminate electrolytes. Surf. Coat. Technol. 291, 239–249 (2016)

    Article  Google Scholar 

  16. Golubkov, P.E., Pecherskaya, E.A., Shepeleva, Y.V., et al.: Methods of applying the reliability theory for the analysis of micro-arc oxidation process. J. Phys.: Conf. Series 1124, 081014 (2018)

    Google Scholar 

  17. Golubkov, P.E., Pecherskaya, E.A., Karpanin, O.V., et al.: Automation of the micro-arc oxidation process. J. Phys.: Conf. Series 917, 092021 (2017)

    Google Scholar 

  18. Mashtalyar, D.V., Gnedenkov, S.V., Sinebryukhov, S.L., et al.: Composite coatings formed using plasma electrolytic oxidation and fluoroparaffin materials. J. Alloy. Compd. 767, 353–360 (2018)

    Article  Google Scholar 

  19. Lin, C.S., Fan, Z.H., Chen, P.C., et al.: The study of remote monitoring and real-time signal processing of the pulse generator for thin film coating. J. Mater. Sci.: Mater. Electron. 28, 3234–3242 (2017)

    Google Scholar 

  20. Egorkin, V.S., Vyaliy, I.E., Sinebryukhov, S.L., et al.: Composition, morphology and tribological properties of PEO-coatings formed on an aluminum alloy D16 at different duty cycles of the polarizing signal. Compos. Multipurp. Coat. 42, 12–16 (2017)

    Google Scholar 

  21. Bolshenko, A.V., Pavlenko, A.V., Puzin, V.S., et al.: Power supplies for microarc oxidation devices. Life Sci. J. 11, 263–268 (2014)

    Google Scholar 

  22. Bolshenko, A.V., Pavlenko, A.V., Grinchenkov, V.P., et al.: Current controllers for devices of microplasm oxidation. Russ. Electr. Eng. 83, 260–265 (2012)

    Article  Google Scholar 

  23. Borikov, V.N., Baranov, P.F., Bezshlyakh, A.D.: Virtual measurement system of electric parameters of microplasma processes. In: Proceedings of the SIBCON Conference, pp. 275–279 (2009)

    Google Scholar 

  24. Borikov, V.N.: Measurement system for coating quality control during high-current process in electrolyte solution. In: Proceedings of the ISMQC Conference, pp. 287–291 (2007)

    Google Scholar 

  25. Vagaska, A., Gombar, M.: Comparison of usage of different neural structures to predict AAO layer thickness. Tech. Bull. 24, 333–339 (2017)

    Google Scholar 

  26. Lomakin, V.V., Zaitseva, T.V., Putivzeva, N.P., et al.: Implementation of the decision-making support in the management of microarc oxidation process on the basis of artificial neural networks. Sci. Bull. 244, 124–133 (2016). Series of Economics and Informatics

    Google Scholar 

  27. Vagaska, A., Michal, P., Gombar, M., et al.: Simulation of technological process by usage neural networks and factorial design of experiments. MM Sci. J. 3, 999–1003 (2016)

    Article  Google Scholar 

  28. Borikov, V.: Neural method alloys identification by the microplasma oxidation process in the electrolyte solutions. Materialwiss. Werkstofftech. 37, 915–918 (2006)

    Article  Google Scholar 

  29. Golubkov, P., Pecherskaya, E., Karpanin, O., et al.: Intelligent automated system of controlled synthesis of MAO-coatings. In: Proceedings of the 24th Conference of FRUCT Association, pp. 96–103 (2019)

    Google Scholar 

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Acknowledgments

The reported study was funded by RFBR according to the research project № 19-08-00425.

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Authors and Affiliations

  1. Penza State University, 40 Krasnaya street, Penza, 440026, Russian Federation

    E. Pecherskaya

Authors
  1. P. Golubkov
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  2. E. Pecherskaya
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  3. T. Zinchenko
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Corresponding author

Correspondence to E. Pecherskaya .

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Editors and Affiliations

  1. Rectorate, South Ural State University (National Research University), Chelyabinsk, Russia

    Andrey A. Radionov

  2. Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia

    Alexander S. Karandaev

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Golubkov, P., Pecherskaya, E., Zinchenko, T. (2020). An Intelligent Automated Control System of Micro Arc Oxidation Process. In: Radionov, A., Karandaev, A. (eds) Advances in Automation. RusAutoCon 2019. Lecture Notes in Electrical Engineering, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-030-39225-3_111

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  • DOI: https://doi.org/10.1007/978-3-030-39225-3_111

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39224-6

  • Online ISBN: 978-3-030-39225-3

  • eBook Packages: EngineeringEngineering (R0)

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