VESTNIK of Samara University. Aerospace and Mechanical EngineeringVESTNIK of Samara University. Aerospace and Mechanical Engineering2542-04532541-7533Samara National Research University675810.18287/2541-7533-2019-18-2-128-137UnknownPrediction of product assembly errors using real part modelsYeliseevYu. S.<p><span lang="EN-US">Doctor of Science (Engineering)</span><span lang="EN-US">, Professor<br />Head of the Department of Aircraft Production and Quality Control in Mechanical Engineering</span></p>metallist@metallist-s.ruBolotovM. A.<p>Candidate of Science (Engineering)<br />Associate Professor of the Department of Engine Production Technology</p>maikl.bol@gmail.comPecheninV. A.<p><span lang="EN-US">Candidate of Science (Engineering)<br />Assistant of the Department of Engine Production Technology</span></p>vadim.pechenin2011@yandex.ruGrachevI. A.<p><span lang="EN-US">Postgraduate Student</span></p>grachmalek2602@gmail.comKudashovE. V.<p><span lang="EN-US">Master’s Degree Student</span></p>KEV-fantom@yandex.ruSamara National Research University030720191821281370307201903072019Copyright © 2019, VESTNIK of Samara University. Aerospace and Mechanical Engineering2019<p>A method has been developed for calculating the parameters for assembling parts based on the creation of real models of their surfaces. For the construction of actual models, a special method for analyzing the measured surfaces and a software application were developed. Measurement analysis includes smoothing outliers, ordering the grid of points on the surfaces, and additional mathematical referencing. The assembly process is modeled in the ANSYS. The results of calculations for the assembly of two parts joined at their flat surfaces by means of a bolted joint are given. The analysis of the obtained results was carried out. It showed the possibility of using the developed methodology for predicting the parameters of gas turbine engine assembly units. The line of further research related to the study of the relationship between assembly parameters and influencing factors has been determined.</p>Сборочный параметрпрогнозированиедействительная модельсопряжениеплоская и цилиндрическая поверхностипогрешностьCAE-системаAssembly parameterpredictionreal modelconjugationflat and cylindrical surfaceserrorCAE system[1. Baturin O.V., Popov G.M., Kolmakova D.A., Novikova Y.D. The best model for the calculation of profile losses in the axial turbine. Journal of Physics: Conference Series. 2017. V. 803, Iss. 1. DOI: <a href='http://doi.org/10.1088/1742-6596/803/1/012017'>10.1088/1742-6596/803/1/012017</a>][2. Arkhipov A.N., Bugrjashova E.V., Ravikovich Yu.A., Savin R.A., Terentjev V.V., Shevjakov A.O. Automated construction of a fan blade model according to data of CAD profile measurements. Vestnik of Samara University. Aerospace and Mechanical Engineering. 2018. V. 17, no. 4. P. 7-17. DOI: <a href='http://doi.org/10.18287/2541-7533-2018-17-4-7-17'>10.18287/2541-7533-2018-17-4-7-17</a> (In Russ.)][3. Greshilov A.A., Stakun V.A., Stakun A.A. Matematicheskie metody postroeniya prognozov [Mathematical methods for making predictions]. Moscow: Radio i Svyaz' Publ., 1997. 112 p.][4. Rogers D.F., Adams J.A. Mathematical elements for computer graphics. New York: McGraw-Hill, 1990. 611 p.][5. Kostinsky A.S. On the principles of a spline extrapolation concerning geophysical data. Reports of the National Academy of Sciences of Ukraine. 2014. No. 2. P. 111-117. DOI: <a href='http://doi.org/10.15407/dopovidi2014.02.111'>10.15407/dopovidi2014.02.111</a> (In Russ.)][6. Stepanenko I.S., Pechenin V.A., Ruzanov N.V., Khaimovich A.I. Technique of increasing the accuracy of GTE parts manufactured by selective laser melting. Journal of Physics: Conference Series. 2018. V. 1096, Iss. 1. DOI: <a href='http://doi.org/10.1088/1742-6596/1096/1/012143'>10.1088/1742-6596/1096/1/012143</a>][7. GOST R 53442-2009. Basic norms of interchangeability. Geometrical product specifications. Tolerances of form, orientation, location and run-out. Moscow: Standartinform Publ., 2010. 51 p. (In Russ.)]