An experiment-based empirical model for heavy-haul train air brake
The latest international survey shows that slow computational speed is still a significant issue for air brake models. Fluid dynamics air brake models can be more accurate but are slower in computing speed. Empirical models are reported as effective and more efficient. This article developed a new e...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-05-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132231169618 |
| _version_ | 1797832609474019328 |
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| author | Fan Jiang Kai Li Honghua Wu Shihui Luo |
| author_facet | Fan Jiang Kai Li Honghua Wu Shihui Luo |
| author_sort | Fan Jiang |
| collection | DOAJ |
| description | The latest international survey shows that slow computational speed is still a significant issue for air brake models. Fluid dynamics air brake models can be more accurate but are slower in computing speed. Empirical models are reported as effective and more efficient. This article developed a new experimental based empirical air brake model that is more comprehensive and can be used to simulate both pneumatically and electronically controlled air brake systems, as well as locomotive air brake systems and brake systems for radio-based distributed power trains. Multiple functions were used to simulate various characteristics of brake cylinder pressures, which enables the model to capture more details. An activating algorithm was developed to further improve the computational efficiency. Case studies were conducted to compare the simulation results with experimental data. Simulation results and experimental data had good agreements regarding brake delays, force patterns and cylinder pressure amplitudes. The empirical air brake model is about 70 times faster than a fluid dynamics model and 7.4 times faster than real-time. |
| first_indexed | 2024-04-09T14:10:35Z |
| format | Article |
| id | doaj.art-0fa76503e6b04079a2f212b6a3d837b9 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-04-09T14:10:35Z |
| publishDate | 2023-05-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-0fa76503e6b04079a2f212b6a3d837b92023-05-06T10:03:23ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402023-05-011510.1177/16878132231169618An experiment-based empirical model for heavy-haul train air brakeFan Jiang0Kai Li1Honghua Wu2Shihui Luo3Zhuzhou CRRC Times Electric Co., Ltd., Zhuzhou, Hunan, ChinaZhuzhou CRRC Times Electric Co., Ltd., Zhuzhou, Hunan, ChinaChina Railway Eryuan Engineering Group CO., Ltd, Chengdu, Sichuan, ChinaState Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, Sichuan, ChinaThe latest international survey shows that slow computational speed is still a significant issue for air brake models. Fluid dynamics air brake models can be more accurate but are slower in computing speed. Empirical models are reported as effective and more efficient. This article developed a new experimental based empirical air brake model that is more comprehensive and can be used to simulate both pneumatically and electronically controlled air brake systems, as well as locomotive air brake systems and brake systems for radio-based distributed power trains. Multiple functions were used to simulate various characteristics of brake cylinder pressures, which enables the model to capture more details. An activating algorithm was developed to further improve the computational efficiency. Case studies were conducted to compare the simulation results with experimental data. Simulation results and experimental data had good agreements regarding brake delays, force patterns and cylinder pressure amplitudes. The empirical air brake model is about 70 times faster than a fluid dynamics model and 7.4 times faster than real-time.https://doi.org/10.1177/16878132231169618 |
| spellingShingle | Fan Jiang Kai Li Honghua Wu Shihui Luo An experiment-based empirical model for heavy-haul train air brake Advances in Mechanical Engineering |
| title | An experiment-based empirical model for heavy-haul train air brake |
| title_full | An experiment-based empirical model for heavy-haul train air brake |
| title_fullStr | An experiment-based empirical model for heavy-haul train air brake |
| title_full_unstemmed | An experiment-based empirical model for heavy-haul train air brake |
| title_short | An experiment-based empirical model for heavy-haul train air brake |
| title_sort | experiment based empirical model for heavy haul train air brake |
| url | https://doi.org/10.1177/16878132231169618 |
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