农业工程学报
農業工程學報
농업공정학보
2015年
15期
40-47
,共8页
代翠%孔繁余%董亮%汪家琼%柏宇星
代翠%孔繁餘%董亮%汪傢瓊%柏宇星
대취%공번여%동량%왕가경%백우성
离心泵%透平%声学性能%优化设计%响应面法%水力性能
離心泵%透平%聲學性能%優化設計%響應麵法%水力性能
리심빙%투평%성학성능%우화설계%향응면법%수력성능
centrifugal pumps%turbines%acoustic properties%optical design%response surface method%hydraulic performance
为综合优化离心泵作透平的水力和声学性能,建立了一种基于响应面的离心泵作透平水力和声学性能多目标优化方法。首先在对比分析叶轮几何参数对透平水力和噪声影响的基础上,根据敏感度筛选出对噪声影响显著的关键参数;进而应用响应面方法构造显著变量与多目标函数的响应面多元回归模型,分析影响水力效率与噪声的参数间交互作用;最终以水力效率不降低和总声压级最小为响应目标,兼顾性能与噪声确定最优参数组合,即叶片进口安放角为19.5°,叶片出口安放角为20°,叶片出口宽度为16 mm,叶片包角为92°,叶轮进口直径为101 mm,叶片数为12。对某离心泵作透平多目标优化结果表明,叶轮进口直径、叶片出口宽度、叶片数及叶片包角对内场噪声总声压级影响显著;响应面模型能够反映参数与响应值之间的相关性;经试验验证优化后透平水力效率平均提高了1.98个百分点,总声压级降低了4.95 dBA,表明采用的响应面法能够在不影响透平原有水力性能的前提下改善声学性能。
為綜閤優化離心泵作透平的水力和聲學性能,建立瞭一種基于響應麵的離心泵作透平水力和聲學性能多目標優化方法。首先在對比分析葉輪幾何參數對透平水力和譟聲影響的基礎上,根據敏感度篩選齣對譟聲影響顯著的關鍵參數;進而應用響應麵方法構造顯著變量與多目標函數的響應麵多元迴歸模型,分析影響水力效率與譟聲的參數間交互作用;最終以水力效率不降低和總聲壓級最小為響應目標,兼顧性能與譟聲確定最優參數組閤,即葉片進口安放角為19.5°,葉片齣口安放角為20°,葉片齣口寬度為16 mm,葉片包角為92°,葉輪進口直徑為101 mm,葉片數為12。對某離心泵作透平多目標優化結果錶明,葉輪進口直徑、葉片齣口寬度、葉片數及葉片包角對內場譟聲總聲壓級影響顯著;響應麵模型能夠反映參數與響應值之間的相關性;經試驗驗證優化後透平水力效率平均提高瞭1.98箇百分點,總聲壓級降低瞭4.95 dBA,錶明採用的響應麵法能夠在不影響透平原有水力性能的前提下改善聲學性能。
위종합우화리심빙작투평적수력화성학성능,건립료일충기우향응면적리심빙작투평수력화성학성능다목표우화방법。수선재대비분석협륜궤하삼수대투평수력화조성영향적기출상,근거민감도사선출대조성영향현저적관건삼수;진이응용향응면방법구조현저변량여다목표함수적향응면다원회귀모형,분석영향수력효솔여조성적삼수간교호작용;최종이수력효솔불강저화총성압급최소위향응목표,겸고성능여조성학정최우삼수조합,즉협편진구안방각위19.5°,협편출구안방각위20°,협편출구관도위16 mm,협편포각위92°,협륜진구직경위101 mm,협편수위12。대모리심빙작투평다목표우화결과표명,협륜진구직경、협편출구관도、협편수급협편포각대내장조성총성압급영향현저;향응면모형능구반영삼수여향응치지간적상관성;경시험험증우화후투평수력효솔평균제고료1.98개백분점,총성압급강저료4.95 dBA,표명채용적향응면법능구재불영향투평원유수력성능적전제하개선성학성능。
As a way of energy saving by recovery of residual pressure, centrifugal pump as turbine (PAT) has been widely used in many fields. As PAT is gradually developed for high power, flow-induced noise becomes one of the most important issues that cause negative effect on reliability. In order to improve both hydraulic and acoustic performances of PAT, an optimization method combining sensitivity analysis and response surface was established. Firstly, through comparison of impeller parameter impact on hydraulic and noise performances, the geometric parameters with great influence on acoustic were filtered based on sensitivity analysis. Further more, with the efficiency and A-weighted overall sound pressure level (OASPL) as target, the multiple regression models connecting variables and multi-objective functions were constructed. Optimization for high efficiency and low OASPL of PAT was carried out with the focused research on the interaction among key parameters. During the investigations, a synchronous acquisition of hydraulic parameters and noise signals were realized on the basis of INV3020C data acquisition system and hydraulic test system in an open test loop. The liquid was pressurized through booster pump, and then impacted the turbine’s impeller to make it rotate. The dynamometer consumed and measured the turbine’s energy. The operating condition was adjusted by regulating the converter’s frequency to change the booster pump’s capacity. The flow-induced noise signals were collected using hydrophone at a sampling frequency of 25,600Hz. The signals were amplified and recorded by INV3020C data acquisition system, and Fast Fourier Transform was used to compute the spectra with the Hanning window for reducing the spectrum leakage. The hydraulic performance (such as head, shaft power and hydraulic efficiency) was calculated. The unsteady numerical simulation was performed to obtain noise-generating fluid forces usingk-ε turbulence model. After that, a time series of pressure fluctuations at fluid-wall interface was obtained. Then, the boundary element method (BEM) was applied to study flow-borne noise caused by impeller and casing dipole sources in interior acoustic. Validated by experiments, the flow-borne interior noise prediction byk-εturbulence model combined with BEM acting by casing dipole source was feasible. The results showed that the factors including impeller inlet diameter, blade outlet width, blade number as well as blade wrap angle had a great influence on OASPL in interior noise. The interaction between inlet diameter and outlet width was significant, while it was not obvious between inlet diameter and blade number, inlet diameter and wrap angle. The impact of blade number on OASPL was more significant than outlet width. The best match of outlet width and wrap angle was near the diagonal. The impact of blade number on OASPL was more significant than wrap angle. After variance analysis on regression equation, the response surface model of hydraulic efficiency and OASPL could reflect the correlation between parameter and response value. According to the experiments, after optimization using this proposed method, one third octave OASPL of the PAT was reduced by 4.25dBAwith efficiency increase of 1.98%. All these showed that the response surface method can improve acoustic performance without losing the original hydraulic performance.