Prediction of product assembly errors using real part models
- Authors: Yeliseev Y.S.1, Bolotov M.A.1, Pechenin V.A.1, Grachev I.A.1, Kudashov E.V.1
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Affiliations:
- Samara National Research University
- Issue: Vol 18, No 2 (2019)
- Pages: 128-137
- Section: MECHANICAL ENGINEERING
- URL: https://journals.ssau.ru/vestnik/article/view/6758
- DOI: https://doi.org/10.18287/2541-7533-2019-18-2-128-137
- ID: 6758
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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
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
V. A. Pechenin
Samara National Research University
Email: vadim.pechenin2011@yandex.ru
Candidate of Science (Engineering)
Assistant of the Department of Engine Production Technology
I. A. Grachev
Samara National Research University
Email: grachmalek2602@gmail.com
Postgraduate Student
Russian FederationE. V. Kudashov
Samara National Research University
Email: KEV-fantom@yandex.ru
Master’s Degree Student
Russian FederationReferences
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