Issue |
E3S Web Conf.
Volume 471, 2024
XIV International Conference on Transport Infrastructure: Territory Development and Sustainability (TITDS-XIV-2023)
|
|
---|---|---|
Article Number | 02020 | |
Number of page(s) | 12 | |
Section | Engineering, Transport Energy Efficiency and Power Industry | |
DOI | https://doi.org/10.1051/e3sconf/202447102020 | |
Published online | 04 January 2024 |
Development of a reduced-order virtual model of a diesel locomotive cooling module
1 Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N. Yeltsin», Ekaterinburg, Russia
2 STM Science Research Center, Ekaterinburg, Russia
* Corresponding author: m.v.masaev@urfu.ru
The article describes the process of developing a virtual model of a reduced-order cooling module for subsequent integration into a 1D virtual model of a diesel locomotive. A description of the steps in the model creation process is provided, including data collection, selection of mathematical models, and verification and validation procedures. The results of the work show that the created virtual model provides a convenient and accurate tool for analyzing and optimizing the cooling system of a diesel locomotive, which expands the possibilities for optimizing the design and improving the system control algorithms, which in turn leads to increased reliability and efficiency of its operation. The study highlights the prospects for the application of reduced-order virtual models in the railway industry.
© The Authors, published by EDP Sciences, 2023
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.