首页|基于遗传算法和模式搜索的微穿孔板设计及粉尘污染补偿

基于遗传算法和模式搜索的微穿孔板设计及粉尘污染补偿

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微穿孔板在工作中受到粉尘污染会造成穿孔率和穿孔直径的变化,使实际吸声性能偏离设计的良好性能.本文提出基于遗传算法和模式搜索的微穿孔板设计方法,指出微穿孔板设计中粉尘污染补偿的必要性.根据设计的微穿孔板参数与吸声峰对应参数的相对位置,适当调整穿孔直径的大小,使其略大于吸声峰对应的穿孔直径,能够有效减少粉尘污染对吸声性能的影响.
Design of micro-perforated panel with genetic algorithm and pattern search and compensation for dust pollution
Micro-perforated panels are inevitably contaminated by dust after long-term operation,causing changes in certain structural parameters such as porosity and perforation diameter,and thus resulting in the deviation of the ac-tual sound absorption performance from the designed value.In this paper,a method for designing micro-perforated panels is proposed based on genetic algorithm and pattern search,and the necessity of dust pollution compensation is pinpointed in the design of micro-perforated panels.According to the position of the designed panel parameters rela-tive to the parameters corresponding to the sound absorption peak,the perforation diameter is adjusted appropriately to be slightly larger than the perforation diameter corresponding to the sound absorption peak,which can effectively reduce the influence of dust pollution on the sound absorption performance.

micro-perforated paneldust pollutiongenetic algorithmpattern search

王卫辰、徐亚博、李烈

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江苏师范大学机电工程学院,江苏徐州 221116

微穿孔板 粉尘污染 遗传算法 模式搜索

2024

江苏师范大学学报(自然科学版)
江苏师范大学

江苏师范大学学报(自然科学版)

影响因子:0.323
ISSN:1007-6573
年,卷(期):2024.42(4)