Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Theoretical study of bench parameters for repair of railway equipment units. |
| Συγγραφείς: |
Khatamov, R. F., Polikanova, I. A., Vorobyeva, E. D., Lysyj, S. P., Vishnikina, M. A. |
| Πηγή: |
AIP Conference Proceedings; 2023, Vol. 2476 Issue 1, p1-7, 7p |
| Θεματικοί όροι: |
Assembly machines, Classical mechanics, Railroads, Mathematical analysis, Computer software, Repairing, Operations research |
| Περίληψη: |
Theoretical studies of the parameters of the railway equipment repair stand are the basis for further laboratory testing. The properly designed structure of the stand will make it possible to substantially reduce the labour intensity of the work performed and to simplify the disassembly — assembly of machines which have broken down during the operation. The calculation of responsible components and components of the stand structure will make it possible to obtain the necessary results for further fruitful work in this area. With the correct adjustment of the stand it is possible to repair different types of units of rolling stock. The purpose of the research is to study the parameters of the railway equipment repair stand by means of the calculation and analysis of the obtained data. The object of the research is the technological process of operation of the stand. Scientific novelty of the work — constructive-technological circuit of the stand. The practical importance of the study lies in the application of the stand in railway repair enterprises, the ease of service and the minimum cost of its manufacture in conditions of own production. The principles of classical mechanics, modelling and mathematical analysis were applied. The data received are processed using the computer programs MathCAD, Kompas-3D, Statistica 6.0. [ABSTRACT FROM AUTHOR] |
|
Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Complementary Index |