| Issue |
EPJ Web Conf.
Volume 347, 2026
2025 SAIMechE Central Branch Conference on Mechanical Engineering and Related Disciplines (SCMERD 2025)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 9 | |
| Section | Mechanics, Structures and Vibrations | |
| DOI | https://doi.org/10.1051/epjconf/202634702001 | |
| Published online | 14 January 2026 | |
https://doi.org/10.1051/epjconf/202634702001
Experimental Validation of CFD–FEA Flow and Structural Performance Analysis in a Non-Return Multi-Door Reflux Valve
Department of Industrial Engineering, Operation Management, and Mechanical Engineering, Vaal University of Technology, Vanderbijlpark, 1911, South Africa
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 14 January 2026
This study provides a validated numerical analysis of the hydraulic and structural performance of a non-return multi-door reflux valve, using computational fluid dynamics (CFD) and finite element analysis (FEA), and compares it with experimental tests. Under varying flow conditions, the numerical model predicts important performance parameters such as pressure drop, flow coefficient, velocity distribution, and stress concentration. The pressure difference, flow capacity, and response times of the valve were measured using a large-scale experimental setup; the results demonstrated a strong correlation with the simulation data. While the FEA method successfully captured the high-stress regions without exceeding the material yield limits, the CFD-predicted pressure drop values remained within ±5% of the experimental results. These results validate the accuracy and cost-effectiveness of numerical simulations as an alternative to extensive physical prototyping for valve design and performance evaluation. The study also highlights areas where future work, such as fluid-structure interaction modelling, is needed to more effectively capture transient dynamics.
© 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.

