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基于葉片載荷的渦輪發(fā)電機葉片反問題優(yōu)化設計研究
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瓦斯災害監(jiān)控與應急技術國家重點實驗室開放基金項目(2022SKLKF09)、國家自然科學基金項目(51969014)、甘肅省杰出青年人才計劃項目(20JR10RA204)和蘭州理工大學紅柳青年人才計劃項目(LUT2019008)


Optimization Design of Turbine Generator Blade Inverse Problem Based on Blade Load
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    摘要:

    針對傳統(tǒng)水力設計難以滿足井下渦輪發(fā)電機的性能要求,提出了一種以葉片載荷為設計變量,輸出功率為目標函數(shù)的反問題優(yōu)化設計方法。基于井下渦輪發(fā)電機葉片載荷分布規(guī)律,采用“三段式”對其進行參數(shù)化,依據(jù)初始模型葉片載荷分布形式,對NC處載荷進行線性增減,每次變化為0.2倍,設計6種不同葉片載荷分布方案,采用反問題方法設計葉輪模型,計算6種方案的輸出功率,得出最高輸出功率為方案Ⅱ,值為118.867W,初始模型輸出功率為93.2796W,最低為方案Ⅳ,輸出功率為80.77W;其中方案Ⅱ的前加載點處載荷相較于初始模型增加0.2倍;對葉片載荷進行分析,得出了井下渦輪發(fā)電機輸出功率隨前加載點處載荷先增加后減小。基于葉片載荷與性能之間的關系以及本文所設計的葉片優(yōu)化模型,經(jīng)過不斷計算迭代得到了適用于井下渦輪發(fā)電機高性能的目標葉片載荷分布方案,目標葉片載荷前加載點處的載荷相較于初始模型增加0.28倍;依據(jù)該方案進行反問題設計,對目標葉片載荷與模擬載荷進行比較,二者較為接近;經(jīng)過數(shù)值計算得到同等條件下,經(jīng)過葉片載荷分布反問題設計模型的輸出功率為129.8W,相較于前6種方案中最高輸出功率增長10.933W,提升9.26%;葉片壓力最高值的位置處于前加載點附近,前加載點一直處于高壓區(qū),證明了基于葉片載荷分布對井下渦輪發(fā)電機的反問題優(yōu)化設計方法和理論的可行性。

    Abstract:

    Aiming at the traditional hydraulic design which is difficult to meet the performance requirements of the downhole turbine generator, an inverse problem optimization design method with blade load as the design variable and output power as the objective function was proposed. Based on the blade load distribution law of the downhole turbine generator, “three-stage” was used to parameterize it, and based on the blade load distribution form of the initial model, the load at NC was linearly increased or decreased, and each time the change was 0.2 times, and six different blade load distribution schemes were designed, and the inverse problem method was used to design the impeller model, and the output power of six schemes was numerically calculated, and the output power of six schemes was calculated. The output power of the six schemes was numerically calculated, the highest output power was got for the scheme Ⅱ with value of 118.867W, the initial model output power was 93.2796W, the lowest output power was got for the scheme Ⅳ with value of 80.77W. The front loading point at the load of scheme Ⅱ was increased by 0.2 times compared with the initial model; the blade load of the blade at the load was linearly increased or decreased each time change for 0.2 times; the blade load distribution scheme designed six different blade load distribution, using the inverse problem approach to design the impeller model, the inverse problem approach to design the impeller model. The blade load was analyzed, and the relationship between the output power of the downhole turbine generator and the load at the front loading point was obtained. Based on the relationship between blade load and performance and the blade optimization algorithm designed, the target blade load distribution scheme applicable to the high performance of downhole turbine generator was obtained after continuous calculation and iteration, and the load at the front loading point of the target blade load was increased by 0.28 times compared with the initial model; based on the scheme for the design of the inverse problem, the comparison of the target blade load and the simulated load was closer; after numerical calculations, the target blade output power was increased and then decreased with the load at the front loading point, which was closer to the simulated load. After numerical calculation, the output power of the counter-problem design model with blade load distribution was 129.8W under the same conditions, which was 10.933W higher than the highest output power in the previous six schemes, with an increase of 9.26%; analyzing the pressure cloud diagram, it can be clearly observed that the location of the highest value of the blade pressure was in the vicinity of the front loading point, which was in the highpressure area, proving that the design of downhole turbocharger based on the blade load distribution had the highest value of the blade pressure, which was in the vicinity of the front loading point. The load distribution on the downhole turbine generator was proved based on the feasibility of the inverse problem optimization design method and theory.

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權輝,孫軍,張曉澤,王國震,閆保永.基于葉片載荷的渦輪發(fā)電機葉片反問題優(yōu)化設計研究[J].農(nóng)業(yè)機械學報,2023,54(s2):192-198. QUAN Hui, SUN Jun, ZHANG Xiaoze, WANG Guozhen, YAN Baoyong. Optimization Design of Turbine Generator Blade Inverse Problem Based on Blade Load[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(s2):192-198.

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  • 收稿日期:2023-05-20
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  • 在線發(fā)布日期: 2023-08-27
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