Abstract
In this article, we study the errors in the assembly of parts, taking into account the deviation of the shape of their surfaces. The developed computer model of the assembly of the engine low-pressure turbine rotor is designed to predict the values of the assembly parameters, such as radial and face run-out. The forecasting of the above assembly parameters is carried out based on the data of actual dimensions and shape of the surfaces of parts assembled as an assembly unit. The analysis of study results made it possible to obtain a conclusion about the qualitative influence of geometrical errors of the assembled parts on the error of the assembly parameters.
Highlights
The assembly of products is an important stage in their production
Digital technologies can provide the walkthrough, traceability of quality indicators, rational solution of accuracy issues based on predictive modeling data
Digital models must take into account a complex nature of the surface shape deviation and the stress-strain state of the products
Summary
The problems of manufactured products quality improvement, cost reduction of their production and time decrease for serial production preparation are important The solution of these problems can be achieved by developing and applying modern technological processes that widely use digital technologies for predictive modeling and control. Digital models must take into account a complex nature of the surface shape deviation and the stress-strain state of the products. In the article [6], a method is proposed for taking into account surface shape and deformation variations while predicting the accuracy of assembly parameters. The paper considers the problem of studying of parts assembly errors, taking into account the deviation of the shape of their surfaces using the developed predictive models. The methods for predicting the accuracy of assembly parameters can be used to supplement and expand the capabilities of parametric models of machine tooling [8]
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