Paper
5 July 2024 A forward design and verification of transformer noise reduction scheme based on microscopic parameter identification of porous materials
Yuchao Ma, Youliang Sun, Dong Wang, Zhuangzhuang Zhang
Author Affiliations +
Proceedings Volume 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024); 131831O (2024) https://doi.org/10.1117/12.3034188
Event: The 3rd International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 2024, Wuhan, China
Abstract
In order to effectively suppress the radiated noise of transformers, borrowing the acoustic package design concept from electric vehicle parts, we used the test methods to get aluminum silicate wool porous material Johnson-Allard acoustic parameters (JCA parameters: porosity, flow resistance, tortuosity, visco-thermal characters), and built the transformers with acoustic package model based on the FEA (finite element analysis) method to get the noise reduction performance. For verify the acoustic package simulation model and concept performance on transformer, a 500kV transformer noise reduction test is done. The study results show that the measured results are highly consistent with the simulation results, laying a solid application foundation for the acoustic package design of noise reduction schemes for other power equipment in the future.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yuchao Ma, Youliang Sun, Dong Wang, and Zhuangzhuang Zhang "A forward design and verification of transformer noise reduction scheme based on microscopic parameter identification of porous materials", Proc. SPIE 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 131831O (5 July 2024); https://doi.org/10.1117/12.3034188
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KEYWORDS
Acoustics

Transformers

Denoising

Porosity

Design

Performance modeling

Aluminum

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