Developing an approach to increasing cohesive strength durability for details of a compressor for a gas turbine engine
Keywords:cohesive strength, gas turbine engine, extreme experiments, planning matrix, extremum, forecast model,
Abstract. Formulation of the problem. Optimization of plasma-arc spraying technology is complicated by its multi-criteria and multi-parameter nature. The search for ways to increase the performance characteristics of the running-in sealing coating for the compressor parts of a gas turbine engine is due to the fact that these coatings operate at a temperature not exceeding usually 650 0C, which limits the scope of their use. Therefore, the development of an approach to increase the cohesive strength of the running-in coating will increase the life of gas turbine engines. Materials and methods. In this paper, it is proposed to apply the method of planning extreme experiments to increase the cohesive strength of a sealing run-in coating. The application of this method involves conducting active experiments in a certain working area of the process given by the numerical values of the controlled variables of the thermal spraying process. It is assumed that in this part of the workspace of controlled variables, the indicators of the goal function have suboptimal values. An experiment planning matrix 25 is defined. Results and discussion. The range of values of eleven variables that affect cohesive strength is determined. To test the reproducibility of experiments, four parallel experiments were carried out at each point of the factor space (in each row of the matrix). Based on the analysis of the coefficients of the obtained multi-parameter equation from 11 given variables, the degree of influence of each variable on the target function is determined. This approach made it possible to establish a pair of variables X5 (power) and X7 (nitrogen consumption), which increase the cohesion strength indicators most strongly compared with the variables under consideration. X5 power was determined by current strength indicators of 280 − 400 A and voltage of 40 − 75 V. A model for predicting cohesive strength depending on the selected pair of variables is obtained. Conclusions. An approach is proposed to increase the cohesive strength of the coating for compressor parts of a gas turbine engine using the method of planning extreme experiments. This made it possible to determine for the selected criterion the most significant controlled variables that ensure its extremum in a given work area.
Bolshakov V.I., Volchuk V.N. and Dubrov Yu.I. O prognozirovanii kachestva tselevogo produkta v periodicheskikh tekhnologiyakh [Predicting the quality of a desired product in periodic technologies]. Dopovidi Natsionalnoi akademii nauk Ukrainy [Reports of the National Academy of Sciences of Ukraine]. 2014, no. 11, pp. 77-81. (in Russian).
Dubrov Yu., Bolshakov V. and Volchuk V. Puti identifikatsii periodicheskikh mnogokriterial'nykh tekhnologiy [Road periodic identification of multi-criteria Technology]. Saarbrucken : Palmarium Academic Publishing, 2015, 236 p. (in Russian).
Bol’shakov V.I., Volchuk V.N. and Dubrov Yu.I. Etapy identyfikatsiyi bahatoparametrychnykh tekhnolohiy ta shlyakhy yikh realizatsiyi [Stages multiparameter identification technologies and ways of their implementation]. Visnyk Natsionalʹnoyi akademiyi nauk Ukrayiny [Bulletin of the National Academy of Sciences of Ukraine]. 2013, no. 8, pp. 66–72. (in Ukrainian).
Bolshakov V.I., Zagorodniy O.B. and Dubrov Yu.I. Odin iz vozmozhnyh putej reshenija mnogokriterial'noj zadachi materialovedenija na primere optimizacii tehnologii plazmenno–dugovogo napylenija [One of the possible ways to solve the multicriteria material science problem by the example of optimization of plasma-arc spraying technology]. Dopovidi Natsionalnoi akademii nauk Ukrainy [Reports of the National Academy of Sciences of Ukraine]. 2008, no. 1, pp. 87−95. (in Russian).
Bolshakov V.I., Kharchenko V.I., Zhuravel V.I., Zahorodnyi O.B., Lyubushkin V.I., Zamkova V.Ye. and Mylosierdov A.B. Issledovaniye teplozashchitnykh prirabatyvayemykh pokrytiy dlya prostavok turbo-vintovykh aviatsionnykh dvigateley [Research of heat-protective running-in coatings for spacers of turbo-prop aircraft engines]. Stroytelstvo, materyalovedenye, mashynostroenye [Construction, materials science, engineering]. Vol. 45, 2008, pp. 87-91. (in Russian).
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Identifikatsiya mnogoparametricheskikh, mnogokriterial'nykh tekhnologiy i puti ikh prakticheskoy realizatsii [Multiparameter identification, multicriteria techniques and ways of their implementation]. Metaloznavstvo ta termichna obrobka metaliv [Metall Science and Heat Treatment of Metals]. 2013, no. 4. pp. 5-11. (in Russian).
Bolshakov V., Volchuk V. and Dubrov Yu. Fractals and properties of materials. Saarbrucken: Lambert Academic Publishing, 2016, 140 p.
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Fundamentals of fractal modeling. Kyiv, Ukraine : PH "Akademperiodyka" National Academy of Sciences of Ukraine, 2017, 170 p. (in Russian).
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Regularization of One Conditionally Ill-Posed Problem of Extractive Metallurgy. Metallofizika i Noveishie Tekhnologii. 2018, vol. 40, no. 9, pр. 1165-1171.
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Primeneniye teoretiko-informatsionnogo podkhoda dlya identifikatsii struktury metalla [The use of information–theoretic approach to identify the structure of the metal]. Visnyk Prydniprovsʹkoyi derzhavnoyi akademiyi budivnytstva ta arkhitektury [Bulletin of Prydniprovska State Academy of Civil Engineering and Architecture]. 2014, no. 8, pp. 4–9. (in Russian).
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. O primenenii imitatsionnogo modelirovaniya v materialovedenii
[The application simulated modelling in materials science]. Metaloznavstvo ta termichna obrobka metaliv [Metall Science and Heat Treatment of Metals]. 2015, no. 4. pp. 26−31. (in Russian).
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Razrabotka i issledovaniye metoda opredeleniya mekhanicheskikh svoystv metalla na osnove analiza fraktal'noy razmernosti yego mikrostruktury [Development and study of the method for determining the mechanical properties of a metal based on an analysis of the fractal dimension of its microstructure]. Metallovedenie i termicheskaya obrabotka metallov [Metall Science and Heat Treatment of Metals]. 2004, no. 1, pp. 43–54. (in Russian).
Volchuk V., Klymenko I., Kroviakov S., Orešković M. Method of material quality estimation with usage of multifractal formalism. Tehnički glasnik - Technical Journal. 2018, vol. 12, no. 2, рр. 93-97.
Bolshakov V.I., Volchuk V.M., Dubrov Yu.I. and Deineko L.M. Formirovanie modeli prognoza kachestva materiala, osnovannoj na `ekspertnoj ocenke i aktivnom `eksperimente [Formation of a model for predicting the quality of a material based on expert judgment and an active experiment]. Komp'yuternoe materialovedenie i obespechenie kachestva : mater. k 45-mu mezhdunar. sem. po modelirovaniyu i optimizacii kompozitov [Computer Science and Quality Assurance : mater. to the 45th Intern. Sem. on modeling and optimization of composites]. Odessa : AstroPrint, 2006, pp. 146−150. (in Russian).
Volchuk V.M. K primeneniyu fraktal'nogo formalizma pri ranzhirovanii kriteriyev kachestva mnogoparametricheskikh tekhnologiy [On the Application of Fractal Formalism for Ranging Criteria of Quality of Multiparametric Technologies ]. Metallofizika i noveyshiye tekhnologii [Metal Physics and Advanced Technologies]. 2017, vol. 39, no 3, рp. 949-957. (in Russian).
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Topologicheskiye i fraktal'nyye invarianty struktury dlya otsenki kachestva metalla [Topological and fractal invariants of a structure to assess the quality of a metal]. Dopovidi Natsionalnoi akademii nauk Ukrainy [Reports of the National Academy of Sciences of Ukraine]. 2017, no. 4, pp. 42−48. (in Russian).
Nalimov V.V. and Chernova N.A. Statisticheskiye metody planirovaniya ekstremal'nykh eksperimentov [Statistical methods for planning extreme experiments]. Moskow : Nauka, 1965, 340 p. (in Russian).
Krug G.K. and Lysenkov A.N. Planirovaniye eksperimenta v usloviyakh vremennogo dreyfa [Planning an experiment under conditions of temporary drift]. Trudy Moskovskogo energeticheskogo instituta [Proceedings of the Moscow Energy Institute]. 1966, vol. 67, pp. 127–173. (in Russian).
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