Issue |
E3S Web Conf.
Volume 135, 2019
Innovative Technologies in Environmental Science and Education (ITESE-2019)
|
|
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Article Number | 01060 | |
Number of page(s) | 10 | |
Section | Environmental Engineering | |
DOI | https://doi.org/10.1051/e3sconf/201913501060 | |
Published online | 04 December 2019 |
Improving the accuracy of manufacturing long shafts and axes of precast rotors
Don State Technical University, sq. Gagarina, 1, Rostov-on-Don, 344010, Russia
* Corresponding author: pme-dgtu@mail.ru
The article is devoted to the methods which help to achieve precision of manufacturing long parts by means of mathematical modeling and dimensional analysis. The possibility of three-dimensional modeling of the shaft of the beater combine harvester “Vector” is considered and the model of turning of a long shaft is presented. The solution of problems arising in the manufacture of long shafts is possible by selecting the best way to install the work piece on the machine and calculate the optimal allowances of the work piece. Method of ad-justing the milling machine, using a special complex is introduced. For the analysis of technological process we will use the method of graph theory. Graph functional relationships established technological dimensional chains and is made up of the original equation. The solution of these equations allows us to find the optimal operating allowances and dimensions in the axial direction. To simplify and improve the calculations, we use the T-Flex CAD 3D complex module, translating the obtained formulas into a parametric table and linking the variables with the 3D-model. Thus, we obtain a simulation dynamic model of dimensional connections of the technological process of manufacturing the shaft. Simulation of dimensional connections of the shaft manufacturing process in the radial direction also determined the operating allowances and dimensions. The proposed research methods are universal and can be applied to any details of this class.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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