本文關(guān)鍵詞： 軸流泵葉片 Bezier曲線 參數(shù)化建模 數(shù)值分析 ANN代理模型　出處：《西華大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

【摘要】：綜合升力法、Bezier曲線、三維建模、計算流體力學(xué)（C FD）、人工神經(jīng)網(wǎng)絡(luò)等理論知識，研究一種軸流泵葉片設(shè)計的新方法，即： 改進(jìn)軸流泵葉片設(shè)計理論及其建模方法，采用升力法、選用NACA翼型對軸流泵葉片進(jìn)行初始設(shè)計。對所得葉片各截面翼型點進(jìn)行坐標(biāo)轉(zhuǎn)換，將其轉(zhuǎn)換為空間坐標(biāo)點。利用Bezier曲線對葉片翼型坐標(biāo)點進(jìn)行曲線擬合，從各截面翼型坐標(biāo)點中選取四點作為型值點，反求Bezier曲線控制點，從而可得各相應(yīng)翼型曲線。將各曲線轉(zhuǎn)換為UG曲線表達(dá)式，導(dǎo)入UG生成葉片翼型骨線，結(jié)合其它結(jié)構(gòu)參數(shù)，實現(xiàn)軸流泵參數(shù)化建模，增強(qiáng)了葉片的可控性，并使葉片具有最少的控制參數(shù)。采用VB編程，實現(xiàn)輸入軸流泵設(shè)計參數(shù)、選擇葉片翼型后，程序自動對軸流泵進(jìn)行初始設(shè)計，并輸出軸流泵結(jié)構(gòu)參數(shù)及葉片UG建模曲線。 利用UG布爾運(yùn)算功能建立軸流泵葉輪處流域模型，利用UG WAVE技術(shù)建立軸流泵喇叭管及導(dǎo)葉處流域模型，裝配形成軸流泵整體流場模型。同時為提高軸流泵及其流域的建模效率，對UG進(jìn)行二次開發(fā)，以實現(xiàn)軸流泵及其流域的自動建模。對軸流泵流場內(nèi)外壁面及其進(jìn)出口面進(jìn)行命名，將軸流泵流場模型、葉片翼型參數(shù)及命名的面導(dǎo)入到ANASYS WORKBENCH中，將ANASYS高性能分析技術(shù)與UG參數(shù)幾何模型相結(jié)合，達(dá)到與UG雙向共享參數(shù)化模型，實現(xiàn)CAD與CAE協(xié)同仿真[1]。結(jié)合流體力學(xué)相關(guān)知識計算軸流泵各邊界條件，利用Workbench的Fluent模塊選擇標(biāo)準(zhǔn)模型，對軸流泵進(jìn)行三維流體動力學(xué)分析。根據(jù)所得軸流泵流場數(shù)值分析結(jié)果，建立軸流泵揚(yáng)程H的表達(dá)式，以葉片已知型值點為輸入?yún)?shù)，，揚(yáng)程H為輸出參數(shù)，采用DOE技術(shù)生成葉片翼型坐標(biāo)點與軸流泵性能參數(shù)之間的關(guān)系樣本。 采用MATLAB的ANN工具箱建立軸流泵葉片動力特性預(yù)測代理模型，即建立葉片翼型坐標(biāo)點與軸流泵性能參數(shù)之間的BP神經(jīng)網(wǎng)絡(luò)模型，并利用以上樣本對其進(jìn)行網(wǎng)絡(luò)訓(xùn)練和檢測，從而形成具有一定精度的軸流泵葉片動力特性預(yù)測模型。將該網(wǎng)絡(luò)模型以C語言形式輸出，生成.dll文件，并將其集成到軸流泵輔助設(shè)計系統(tǒng)中。 通過該設(shè)計方法，可實現(xiàn)葉片翼型曲線型值點到揚(yáng)程的非線性映射及葉片動力特性的實時預(yù)測，提高軸流泵設(shè)計效率和水力性能。
[Abstract]:A new design method of axial flow pump blade is studied by synthesizing the theoretical knowledge of Bezier curve, 3D modeling, computational fluid dynamics (CFD) and artificial neural network (Ann). The design theory and modeling method of axial flow pump blade are improved, and the initial design of axial flow pump blade is carried out by using lift method and NACA airfoil. The Bezier curve is used to fit the coordinate points of the blade airfoil, four points are selected from the coordinate points of the airfoil of each section as the type value points, and the control points of the Bezier curve are obtained. Thus, the corresponding airfoil curves can be obtained. The curves are converted into UG curve expressions, the blade wing bone lines are generated by UG, and the parametric modeling of the axial flow pump is realized by combining other structural parameters, and the controllability of the blades is enhanced. With VB programming, the design parameters of axial flow pump are inputted. After selecting the blade airfoil, the program automatically designs the axial flow pump, and outputs the structural parameters of the axial flow pump and the UG modeling curve of the blade. The watershed model of axial flow pump impeller is established by using UG Boolean operation function, and the watershed model of axial flow pump horn tube and guide vane is established by UG WAVE technology. In order to improve the modeling efficiency of axial flow pump and its watershed, UG was redeveloped. In order to realize the automatic modeling of the axial flow pump and its watershed, the inner and outer wall surface of the axial flow pump field and its inlet and outlet surface are named, and the flow field model, blade airfoil parameters and named surface of the axial flow pump field are imported into ANASYS WORKBENCH. The high performance analysis technology of ANASYS is combined with the geometric model of UG parameters to achieve the bidirectional sharing parametric model with UG, and the cooperative simulation between CAD and CAE is realized [1]. The boundary conditions of axial flow pump are calculated by combining the relevant knowledge of fluid mechanics. The standard model of axial flow pump is selected by Fluent module of Workbench, and the three-dimensional hydrodynamic analysis of axial flow pump is carried out. According to the result of numerical analysis of flow field of axial flow pump, the expression of head H of axial flow pump is established, and the point of known type of blade is taken as input parameter. The head H is the output parameter and the DOE technique is used to generate the sample of the relationship between the coordinate points of the blade airfoil and the performance parameters of the axial flow pump. The prediction agent model of blade dynamic characteristics of axial flow pump is established by using ANN toolbox of MATLAB, that is, the BP neural network model between the coordinate point of blade airfoil and the performance parameters of axial flow pump is established, and the above samples are used for network training and detection. Thus a prediction model of the blade dynamic characteristics of axial flow pump with certain precision is formed. The network model is output in C language, and the .dll file is generated and integrated into the axial flow pump aided design system. Through this design method, the nonlinear mapping from the curve point of blade airfoil to the head and the real-time prediction of blade dynamic characteristics can be realized, and the design efficiency and hydraulic performance of axial flow pump can be improved.
【學(xué)位授予單位】：西華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TH312

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