Prediction of product assembly errors using real part models


Cite item

Full Text

Abstract

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.

About the authors

Yu. S. Yeliseev

Samara National Research University

Author for correspondence.
Email: metallist@metallist-s.ru

Doctor of Science (Engineering), Professor
Head of the Department of Aircraft Production and Quality Control in Mechanical Engineering

Russian Federation

M. A. Bolotov

Samara National Research University

Email: maikl.bol@gmail.com

Candidate of Science (Engineering)
Associate Professor of the Department of Engine Production Technology

Russian Federation

V. A. Pechenin

Samara National Research University

Email: vadim.pechenin2011@yandex.ru

Candidate of Science (Engineering)
Assistant of the Department of Engine Production Technology

Russian Federation

I. A. Grachev

Samara National Research University

Email: grachmalek2602@gmail.com

Postgraduate Student

Russian Federation

E. V. Kudashov

Samara National Research University

Email: KEV-fantom@yandex.ru

Master’s Degree Student

Russian Federation

References

  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: 10.1088/1742-6596/803/1/012017
  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: 10.18287/2541-7533-2018-17-4-7-17 (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: 10.15407/dopovidi2014.02.111 (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: 10.1088/1742-6596/1096/1/012143
  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.)

Supplementary files

Supplementary Files
Action
1. JATS XML
Download

Copyright (c) 2019 VESTNIK of Samara University. Aerospace and Mechanical Engineering

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies