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Active control of cavity buffeting noise using a DBD plasma model based on interval uncertainty correction
Mechanical Systems and Signal Processing ( IF 7.9 ) Pub Date : 2024-11-06 , DOI: 10.1016/j.ymssp.2024.112121 Hongyang Liang, Weidong Liu, Xingjun Hu, Jingyu Wang, Peng Guo
Mechanical Systems and Signal Processing ( IF 7.9 ) Pub Date : 2024-11-06 , DOI: 10.1016/j.ymssp.2024.112121 Hongyang Liang, Weidong Liu, Xingjun Hu, Jingyu Wang, Peng Guo
This study established a corrected system for a dielectric barrier discharge plasma actuator (DBD-PA) model and applied the corrected plasma model in research on the control of vehicle buffeting noise. Firstly, experiments on static ion wind characteristics under different excitation voltages were conducted, and the spatial distribution of the body force vector field during actuator operation was estimated. Subsequently, on the basis of experimental index parameters, an interval uncertainty multi-objective optimization (IUMOO) algorithm was used to reconstruct the expression of charge density and the action area boundary of the core electric field force, making them consistent with experimental results. A DBD-PA was arranged upstream of the cavity opening in the reverse direction, and experimental and numerical simulation results showed that noise reduction by this control scheme exceeded 3.67 dB at the characteristic wind speed. Finally, on the basis of the corrected plasma model, the correlation between vortex impact and pressure feedback in the buffeting phenomenon was analysed, and the influence of shear layer dynamic flow parameters on cavity buffeting noise was quantified. Results indicate that the DBD-PA acts to control the flow evolution of vortex cores and pressure clusters, suppress vortex reconnection, and weaken the intensity of vortex impact, thereby reducing wind buffeting noise.
中文翻译:
使用基于区间不确定性校正的 DBD 等离子体模型主动控制腔体抖动噪声
本研究建立了介电势垒放电等离子体致动器 (DBD-PA) 模型的校正系统,并将校正后的等离子体模型应用于车辆抖动噪声的控制研究。首先,对不同激励电压下的静态离子风特性进行了实验,估计了执行器运行过程中体力矢量场的空间分布。随后,在实验指标参数的基础上,采用区间不确定性多目标优化 (IUMOO) 算法重建了电荷密度的表达式和核心电场力的作用区域边界,使其与实验结果一致。在空腔开口的上游反向布置了 DBD-PA,实验和数值仿真结果表明,在特征风速下,该控制方案的降噪效果超过 3.67 dB。最后,在校正后的等离子体模型的基础上,分析了涡流冲击与压力反馈在振荡现象中的相关性,量化了剪切层动态流动参数对腔体振荡噪声的影响。结果表明,DBD-PA 具有控制涡芯和压力簇的流动演变,抑制涡旋重联,减弱涡流冲击强度,从而降低风振噪。
更新日期:2024-11-06
中文翻译:
使用基于区间不确定性校正的 DBD 等离子体模型主动控制腔体抖动噪声
本研究建立了介电势垒放电等离子体致动器 (DBD-PA) 模型的校正系统,并将校正后的等离子体模型应用于车辆抖动噪声的控制研究。首先,对不同激励电压下的静态离子风特性进行了实验,估计了执行器运行过程中体力矢量场的空间分布。随后,在实验指标参数的基础上,采用区间不确定性多目标优化 (IUMOO) 算法重建了电荷密度的表达式和核心电场力的作用区域边界,使其与实验结果一致。在空腔开口的上游反向布置了 DBD-PA,实验和数值仿真结果表明,在特征风速下,该控制方案的降噪效果超过 3.67 dB。最后,在校正后的等离子体模型的基础上,分析了涡流冲击与压力反馈在振荡现象中的相关性,量化了剪切层动态流动参数对腔体振荡噪声的影响。结果表明,DBD-PA 具有控制涡芯和压力簇的流动演变,抑制涡旋重联,减弱涡流冲击强度,从而降低风振噪。