本文選題：旋渦泵 + 數(shù)值計(jì)算��； 參考：《江蘇大學(xué)》2017年碩士論文

【摘要】：本研究以XKM80-1型旋渦自吸泵為研究對(duì)象,其揚(yáng)程高,流量小,工程實(shí)踐中發(fā)現(xiàn)旋渦泵流動(dòng)誘導(dǎo)噪聲較大;為對(duì)其流動(dòng)噪聲進(jìn)行優(yōu)化,本文基于數(shù)值計(jì)算對(duì)旋渦泵全流場進(jìn)行流場、聲場數(shù)值計(jì)算,得到噪聲的關(guān)鍵影響因素,對(duì)其進(jìn)行仿生設(shè)計(jì),在兼顧效率、揚(yáng)程的同時(shí)降低旋渦泵運(yùn)行噪聲。本文主要研究內(nèi)容如下:1)全流場定常、非定常數(shù)值計(jì)算及聲學(xué)邊界元數(shù)值計(jì)算。根據(jù)性能要求完成水力設(shè)計(jì),試驗(yàn)達(dá)到性能要求,定常數(shù)值計(jì)算與試驗(yàn)值吻合;采用大渦模擬計(jì)算,選擇隔舌間隙、蝸殼流道關(guān)鍵點(diǎn)作為監(jiān)測點(diǎn),對(duì)流場內(nèi)的靜壓脈動(dòng)進(jìn)行時(shí)域及頻域分析;得到壓力脈動(dòng)主頻為葉頻、軸頻以及其倍頻,脈動(dòng)極值主要集中在1-3倍葉頻及1倍軸頻處。在非定常計(jì)算的同時(shí)導(dǎo)出偶極子噪聲源作為聲學(xué)激勵(lì)源對(duì)全流場進(jìn)行聲學(xué)邊界元計(jì)算,以主頻點(diǎn)為聲學(xué)計(jì)算頻率點(diǎn);得到隔舌處在主頻下聲壓級(jí)較高,聲壓值明顯大于其他區(qū)域,同時(shí)聲源主要分布在隔舌區(qū),確定隔舌間隙為噪聲優(yōu)化研究對(duì)象。2)隔舌間隙仿生設(shè)計(jì)及流場分析。參考鯊魚表皮非光滑表面特征,將隔舌間隙設(shè)計(jì)為非光滑表面,初步定性設(shè)計(jì)梯形截面和曲線截面兩種方案;采用大渦模擬分別對(duì)原設(shè)計(jì)方案、梯形截面方案、曲線截面方案進(jìn)行數(shù)值計(jì)算;分析隔舌壁面一個(gè)周期內(nèi)的靜壓、渦通量、渦流以及渦核的非定常特性,得到隔舌間隙壁面靜壓周期性變換明顯,相比于原設(shè)計(jì)和梯形截面方案,采用曲線截面形式可降低隔舌間隙監(jiān)測點(diǎn)壓力脈動(dòng)幅值,其壁面渦核分布較離散,壁面渦通量極值分布均勻,可減弱噪聲激勵(lì)源強(qiáng)度。3)仿生試驗(yàn)設(shè)計(jì)及其聲學(xué)仿真分析。流場初步分析,確定采用曲線型進(jìn)一步仿生設(shè)計(jì),對(duì)曲線參數(shù)變量進(jìn)行控制,構(gòu)建仿生設(shè)計(jì)曲線方程,確定試驗(yàn)單因素變量為波長與幅值的比值。建立數(shù)學(xué)模型,波長與幅值比值作為自變量構(gòu)建單因素試驗(yàn)樣本空間,自變量分別取5.0、7.5、10.0、12.5、15.0。采用數(shù)值仿真方法求解樣本空間的流場、聲場,同時(shí)提取揚(yáng)程、效率、監(jiān)測點(diǎn)最大聲壓值等性能參數(shù)作為試驗(yàn)?zāi)繕?biāo)參數(shù)。結(jié)果表明,隨著自變量數(shù)值的增加其效率、揚(yáng)程逐漸降低;相比于原設(shè)計(jì)方案,五組試驗(yàn)的揚(yáng)程平均下降約5%-10%;效率值平均上升約3%-5%;監(jiān)測點(diǎn)噪聲聲壓級(jí)變化較大,波長與幅值比值為5.0,7.5,15.0時(shí)聲壓級(jí)提高,聲學(xué)性能變差;波長與幅值為10.0,12.5時(shí)監(jiān)測點(diǎn)聲壓最大值分別降低4.8dB、5.75dB。4)數(shù)據(jù)分析處理。采用最小二乘法對(duì)目標(biāo)參數(shù)與自變量進(jìn)行多項(xiàng)式擬合,擬合優(yōu)度保證在0.9以上;得到揚(yáng)程、效率與自變量成二次關(guān)系,聲壓級(jí)與自變量成三次關(guān)系。對(duì)各性能擬合方程分別賦予不同權(quán)重,構(gòu)建綜合性能單因素多目標(biāo)優(yōu)化數(shù)學(xué)模型,優(yōu)化目標(biāo)參數(shù)為旋渦泵額定工況下的揚(yáng)程、效率、聲壓最大值;對(duì)試驗(yàn)值與原設(shè)計(jì)性能值的優(yōu)化幅度加權(quán)求和得到其綜合性能優(yōu)化值。其計(jì)算步驟為:先確定各性能的權(quán)重,之后計(jì)算優(yōu)化值與原設(shè)計(jì)值差值除以原設(shè)計(jì)值,得到無量綱優(yōu)化值;最后加權(quán)求和得到綜合性能優(yōu)化值。本研究主要對(duì)XKM80-1型旋渦自吸泵進(jìn)行聲學(xué)優(yōu)化同時(shí)兼顧其效率、揚(yáng)程,所以設(shè)定揚(yáng)程、效率、聲壓級(jí)的權(quán)重分別為0.2,0.3,0.5。計(jì)算可得到波長與幅值比值為10.0時(shí)為最優(yōu)方案,綜合性能提升約0.5%。最后基于數(shù)值計(jì)算數(shù)據(jù)以及相關(guān)的數(shù)學(xué)模型,采用最小二乘法多項(xiàng)式擬合算法確定優(yōu)化目標(biāo)的數(shù)學(xué)方程,設(shè)計(jì)基于MFC的數(shù)據(jù)處理可執(zhí)行程序,可進(jìn)行單因素多目標(biāo)的試驗(yàn)設(shè)計(jì)的數(shù)據(jù)處理。
[Abstract]:This research takes the XKM80-1 type vortex self suction pump as the research object, with high lift and small flow. In engineering practice, it is found that the flow induced noise of the vortex pump is larger. In order to optimize the flow noise of the vortex pump, the flow field of the vortex pump is carried out by numerical calculation, the sound field is calculated, and the key influence factors of the noise are obtained. The main research contents of this paper are as follows: 1) the constant flow field, the unsteady numerical calculation and the acoustic boundary element numerical calculation. According to the performance requirements, the hydraulic design is completed, the test meets the performance requirements, the constant numerical calculation is consistent with the test value; the large eddy simulation calculation is used to select the partition. The key points of the tongue gap, the key point of the volute channel as the monitoring point, are analyzed in time domain and frequency domain in the convective field. The main frequency of the pressure fluctuation is the blade frequency, the axial frequency and its frequency doubling. The fluctuating extremum is mainly concentrated at the 1-3 times leaf frequency and the 1 times the axial frequency. The dipole noise source is also guided by the dipole noise source as the acoustic excitation source. The acoustic boundary element method is used to calculate the frequency point of the main frequency point. The sound pressure level of the tongue at the main frequency is higher and the sound pressure is obviously greater than that of other regions. At the same time, the sound source is mainly distributed in the tongue zone, and the gap between the tongue is determined as the noise optimization object.2) the bionic design and flow field analysis of the gap between the tongue gap and the non smooth surface of the shark epidermis are referred to. Surface feature is designed as a non smooth surface, and two schemes of trapezoid and curve sections are preliminarily designed, and large eddy simulation is used to calculate the original design scheme, trapezoid section scheme and curve section scheme respectively, and the unsteady characteristics of static pressure, eddy flux, eddy current and vortex core in one cycle of the tongue wall are analyzed. Compared with the original design and the trapezium section scheme, the pressure fluctuation amplitude of the gap monitoring point can be reduced, the distribution of the wall vortex core is discrete, the wall vortex flux is evenly distributed, and the intensity.3 of the noise excitation source can be weakened. The bionic test design and acoustic simulation of the noise excitation source are reduced. Analysis, preliminary flow field analysis, determine the use of curve type further bionic design, control the parameter variables of the curve, construct the bionic design curve equation, determine the ratio of the single factor variable to the wavelength and amplitude, establish the mathematical model, the ratio of the wavelength to amplitude as the independent variable to construct the single factor test sample space, the independent variable takes 5 respectively. 7.5,10.0,12.5,15.0. uses the numerical simulation method to solve the flow field, the sound field, and the performance parameters such as the lift, the efficiency, the maximum sound pressure value of the monitoring point as the test target parameters. The results show that the lift is gradually reduced with the increase of the value of the independent variable. Compared with the original design scheme, the lift of the five sets of experiments is decreasing. About 5%-10%, the average increase of the efficiency value is about 3%-5%, the sound pressure level of the monitoring point is changed greatly, the acoustic pressure level is increased when the ratio of the wavelength to amplitude is 5.0,7.5,15.0, the acoustic performance becomes worse; the maximum value of the sound pressure of the monitoring point is reduced by 4.8dB and 5.75dB.4 respectively when the wavelength and amplitude is 10.0,12.5. The target parameters and the independent variables are used by the least square method. With polynomial fitting, the goodness of fit is guaranteed to be above 0.9, the relationship between the lift, the efficiency and the independent variable is two, the sound pressure level and the independent variable have three relations. Different weights are given to each performance fitting equation, and the comprehensive performance single factor multi-objective optimization mathematical model is constructed, and the target parameters are optimized to be the lift under the rated working condition of the vortex pump. The maximum value of the sound pressure and the optimum value of the test value and the original design performance value are weighted. The calculation steps are as follows: first determine the weight of each performance, then calculate the difference value between the optimal value and the original design value by the original design value, get the dimensionless optimization value, and finally get the sum of the comprehensive performance optimization value. The XKM80-1 type vortex self-priming pump is optimized with both its efficiency and the lift, so setting the weight of the lift, efficiency and sound pressure is 0.2,0.3,0.5. calculation can get the optimal scheme when the ratio of wavelength to amplitude is 10, and the comprehensive performance is improved about 0.5%. finally based on numerical data and related mathematical models. The least squares polynomial fitting algorithm is used to determine the mathematical equation of the optimized target, and the data processing executable program based on MFC can be designed to deal with the data processing of the single factor and multi-objective test design.
【學(xué)位授予單位】：江蘇大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TH317

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 曹璞鈺;印剛;王洋;李貴東;吳文;;離心泵內(nèi)雙龍卷風(fēng)式分離渦數(shù)值分析[J];農(nóng)業(yè)機(jī)械學(xué)報(bào);2016年04期

2 李貴東;王洋;曹璞鈺;周國輝;吳文;韓亞文;;射流式離心泵非設(shè)計(jì)工況下內(nèi)部流動(dòng)研究[J];農(nóng)業(yè)機(jī)械學(xué)報(bào);2015年08期

3 王洋;李貴東;曹璞鈺;印剛;崔宇蕊;李亞成;;泵腔內(nèi)部環(huán)流對(duì)射流式自吸泵自吸性能的影響[J];農(nóng)業(yè)機(jī)械學(xué)報(bào);2014年11期

4 王維軍;王洋;李貴東;印剛;曹璞鈺;;射流自吸式離心泵三維湍流數(shù)值模擬與實(shí)驗(yàn)分析[J];農(nóng)業(yè)機(jī)械學(xué)報(bào);2014年03期

5 王洋;李亞成;曹璞鈺;劉洋;呂忠斌;;M型截面流道對(duì)旋渦泵性能的影響分析[J];農(nóng)業(yè)機(jī)械學(xué)報(bào);2014年03期

6 劉厚林;丁劍;王勇;談明高;徐歡;;基于大渦模擬的離心泵水動(dòng)力噪聲數(shù)值模擬[J];機(jī)械工程學(xué)報(bào);2013年18期

7 周磊;解茂昭;羅開紅;帥石金;賈明;;大渦模擬在內(nèi)燃機(jī)中應(yīng)用的研究進(jìn)展[J];力學(xué)學(xué)報(bào);2013年04期

8 王洋;傅劍輝;蔣其松;;閉式葉輪葉片位置對(duì)旋渦泵性能的影響[J];農(nóng)機(jī)化研究;2010年09期

9 耿冬寒;劉正先;;大渦模擬-Lighthill等效聲源法的空腔水動(dòng)噪聲預(yù)測[J];哈爾濱工程大學(xué)學(xué)報(bào);2010年02期

10 任露泉;梁云虹;;生物耦合及其分類學(xué)與特征規(guī)律研究[J];中國科學(xué)(技術(shù)科學(xué));2010年01期

相關(guān)博士學(xué)位論文 前4條

1 廖庚華;長耳，

本文編號(hào)：2015761