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基于FE-SEA混合法的機艙內中頻噪聲預測技術(shù)
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寶雞文理學(xué)院

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陜西省教育廳科研計劃項目


Prediction technology of medium frequency noise in engine room based on fe-sea hybrid method
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    摘要:

    為充分降低機艙中頻噪聲的振蕩頻率,獲得更加精確的頻段波分析結果,提出一種基于FE-SEA混合法的機艙內中頻噪聲預測技術(shù)手段。按照原理參數的獲取現狀,劃分機艙子系統中的節點(diǎn)屬性結構,完成FE-SEA混合法的建模處理。在此基礎上,篩查頻段中的所有共節點(diǎn),根據中頻孔洞的密封原理,建立標準的噪聲腔子系統,再聯(lián)合各項預應連接結構,實(shí)現機艙中頻噪聲的預處理。分別從頻段精度、子系統穩定性、噪聲損耗因子、傳輸路徑四個(gè)方面,分析FE-SEA混合法對噪聲預測的控制條件,實(shí)現機艙內中頻噪聲預測手段的順利應用。實(shí)用分析結果表明,與SEA方法相比,FE-SEA混合法預測技術(shù)可將機艙中頻噪聲振蕩頻率穩定在100Hz左右,對頻段波精確分析起到適當促進(jìn)作用。

    Abstract:

    In order to reduce the oscillation frequency of the medium frequency noise in the engine room and obtain more accurate wave analysis results, a FE-SEA hybrid method was proposed to predict the medium frequency noise in the engine room. According to the acquisition status of the principle parameters, the node attribute structure in the engine room subsystem was divided, and the fe-sea mixed modeling process was completed. On this basis, all common nodes in the frequency band are screened, a standard noise cavity system is established according to the sealing principle of intermediate frequency holes, and then all pre-connected structures are combined to realize the pretreatment of intermediate frequency noise in the engine room. In this paper, the control conditions of fe-sea hybrid method for noise prediction are analyzed from four aspects of frequency band accuracy, subsystem stability, noise loss factor and transmission path, respectively, so as to realize the smooth application of if noise prediction method in engine room. The results of practical analysis show that compared with SEA method, fe-sea hybrid prediction technology can stabilize the oscillation frequency of medium frequency noise in the engine room at about 100hz, which plays a proper role in promoting the accurate analysis of frequency band waves.

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劉飛,白靜,劉小群.基于FE-SEA混合法的機艙內中頻噪聲預測技術(shù)計算機測量與控制[J].,2020,28(2):43-47.

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  • 收稿日期:2019-10-15
  • 最后修改日期:2019-10-28
  • 錄用日期:2019-10-28
  • 在線(xiàn)發(fā)布日期: 2020-02-24
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