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SYSTEM ANALYSIS OF PROPERTIES OF COATINGS AND INDICATORS OF THE PROCESS OF PLASMA AND ELECTROLYTIC OXIDATION’S QUALITY

Vladimir V. Lomakin, Vladimir M. Yatsenko, Rustam G. Asadullaev, Tatyana A. Lysakova, Oleg S. Reznichenko

Abstract


The article is devoted to solution of the problem of systematization of the parameters for the model that associate the properties of the obtained coatings with the qualitative properties of coatings on the basis of the method of plasma-electrolytic oxidation (PEO) of valve metals. Nowadays for the synthesis of the required parameters of technological processing regimes (electrical regimes, concentrations of the components of the electrolyte) in the process of coatings’ forming various measured parameters of the coating are used. At the same time, the final task is not to obtain the parameters of the coating, but its qualitative properties, which are required for diverse terms of use. This leads to necessity of transition from the model "parameters of coating - processing parameters" to the model "indicators of quality - processing parameters”.

Keywords


model of interconnection; plasma and electrolytic oxidation; quality criteria; parameters of technological regimes

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References


Suminov I.V., 2005. Micro Arc Oxidation (Theory, Technology, Equipment). ECOMET, Moscow, 368 p.

Misirli, С., Sahin, M., Soze, U., 2012. Effect of Micro Arc Oxidation Coatings on the Properties of Aluminium Alloys. Aluminium Alloys, Ch. 4.

Mikheev A.E., Trushkina T.V., Hirn A.V., Ravodina D. V., 2015. Development of a Functional Diagram of the Influence of the Main Factors of the Micro Arc Oxidation Process on the Coating Properties. Siberian Journal of Science and Technology.

Bardin I.V., 2009. Electric Modes of Micro Arc Oxidation of Aluminum and Magnesium Alloys in Alkaline Electrolytes: Thesis of the Candidate of Chemical Sciences: Bardin Ilya Vyacheslavovich. Moscow Institute of Steel and Alloys, 179 p.

Dicu, M., Matei, A., Abrudeanu, M., Ducu, C., 2011. Synthesis and properties of the porous titania coatings formed on titanium by plasma electrolytic oxidation for biomedical application. Journal of Optoelectronics and Advanced Materials, 13 (3): 324 – 331.

Kamal Jayaraj,R., Malarvizhi,S., Balasubramanian, V., 2017. Optimizing the micro-arc oxidation (MAO) parameters to attain coatings with minimum porosity and maximum hardness on the friction stir welded AA6061 aluminium alloy welds. DefenceTechnology, 13. Issue 2: 111-117.

Gulakov K. V., 2013. The Choice of Neural Network Architecture for Solving Approximation Problems and Regression Analysis of Experimental Data. Bulletin of Bryansk State Technical University, 2(38).

Murata, Т., Yoshizawa, S., Amari, S., 1993.Learning curves, model selection and complexity of neural networks. Advances in Neural Information Processing Systems, 5: 607-614.

Kruglov, I., Mishulina, O., Bakirov, B., 2012. Quantile based decision making rule of the neural networks committee for ill¬posed approximation problems. Neurocomputing, 96: 74-82.

Shumikhin A.G., Boyarshinova A.S., 2017. Parametric Identification of Control Systems with Feedback Based on Neural Network Modeling of the Processes of their Functioning. Engineering Herald of the Don, 2 (45).

Adler Yu.P., Markova E.V., Granovsky Yu.V., 1976. Planning an Experiment when Searching for Optimal Conditions. Nauka, Moscow, 280 p.




DOI: http://dx.doi.org/10.6084/ijact.v8i6.956

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