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THERMAL SCIENCE
International Scientific Journal
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EXPERIMENTAL AND MODELLING STUDY ON OPTIMIZATION OF GLASS FIBER FILTER DIVERSION STRUCTURE
ABSTRACT
This study conducts an experimental and modelling investigation on the optimization of the glass fiber filter diversion structure. Addressing the critical issue in air filtration systems of enhancing the service life and performance of filter devices, this research rationally designs and optimizes the structural parameters of the diversion structure. Numerical simulation of the filter device was established through air-flow organization experiments of glass fiber filters to explore the impact of various guide vane structure parameters on the system’s air distribution uniformity and service life. Furthermore, machine learning was employed to optimize the guide structure of the filtration device based on the results of numerical simulations. The study demonstrates a good agreement between numerical simulation results and experimental outcomes, with an error of less than 10%. The optimal length and angle of the guide plate predicted by machine learning are 163.2 mm and 38.5°, respectively. This research not only injects new momentum into the continuous advancement of air filtration technology but also shows significant potential in energy efficiency and cost control.
KEYWORDS
PAPER SUBMITTED: 2024-11-18
PAPER REVISED: 2025-01-18
PAPER ACCEPTED: 2025-01-19
PUBLISHED ONLINE: 2025-02-16
DOI REFERENCE: https://doi.org/10.2298/TSCI241118024Z
CITATION EXPORT: view in browser or download as text file
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© 2026 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence