| Issue |
EPJ Web Conf.
Volume 355, 2026
4th International Conference on Sustainable Technologies and Advances in Automation, Aerospace and Robotics (STAAAR 2025)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 11 | |
| Section | Thermofluids, Aerodynamics and CFD Simulation | |
| DOI | https://doi.org/10.1051/epjconf/202635504005 | |
| Published online | 03 March 2026 | |
https://doi.org/10.1051/epjconf/202635504005
CFD Analysis of the Aerodynamic Effects of the Pantograph Covering Structure on WAG-12 train
School of Mechanical Engineering, VIT Bhopal University, Sehore, Madhya Pradesh- 466114, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 3 March 2026
Abstract
Pantographs on high-speed trains significantly impact aerodynamic performance, contributing to drag, turbulence, and energy loss. While prior studies address train aerodynamics broadly, limited research has focused on optimizing pantograph covering structures. This study addresses that gap by evaluating five pantograph fairing designs on the WAG-12 locomotive using CFD simulations. The models were developed in SolidWorks and Fusion 360 and analyzed in ANSYS Fluent under steady state conditions using the SST k-ω turbulence model. Key aerodynamic metrics - drag and lift coefficients were compared at highest speed of 120 km/h. Results indicate that Design 3, featuring a 35° inclined fairing with inward curvature, yielded the lowest drag (Cd = 0.2881) and lift (Cl = 0.062) values, this model was further tested at varying speeds (55 & 150 km/h). Design 3 maintained superior performance across all test speeds. These findings offer practical implications for enhancing train efficiency and stability through aerodynamic refinement of pantograph structures.
© The Authors, published by EDP Sciences, 2026
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.

