基于叶片载荷的涡轮发电机叶片反问题优化设计研究
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瓦斯灾害监控与应急技术国家重点实验室开放基金项目(2022SKLKF09)、国家自然科学基金项目(51969014)、甘肃省杰出青年人才计划项目(20JR10RA204)和兰州理工大学红柳青年人才计划项目(LUT2019008)


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

    针对传统水力设计难以满足井下涡轮发电机的性能要求,提出了一种以叶片载荷为设计变量,输出功率为目标函数的反问题优化设计方法。基于井下涡轮发电机叶片载荷分布规律,采用“三段式”对其进行参数化,依据初始模型叶片载荷分布形式,对NC处载荷进行线性增减,每次变化为0.2倍,设计6种不同叶片载荷分布方案,采用反问题方法设计叶轮模型,计算6种方案的输出功率,得出最高输出功率为方案Ⅱ,值为118.867W,初始模型输出功率为93.2796W,最低为方案Ⅳ,输出功率为80.77W;其中方案Ⅱ的前加载点处载荷相较于初始模型增加0.2倍;对叶片载荷进行分析,得出了井下涡轮发电机输出功率随前加载点处载荷先增加后减小。基于叶片载荷与性能之间的关系以及本文所设计的叶片优化模型,经过不断计算迭代得到了适用于井下涡轮发电机高性能的目标叶片载荷分布方案,目标叶片载荷前加载点处的载荷相较于初始模型增加0.28倍;依据该方案进行反问题设计,对目标叶片载荷与模拟载荷进行比较,二者较为接近;经过数值计算得到同等条件下,经过叶片载荷分布反问题设计模型的输出功率为129.8W,相较于前6种方案中最高输出功率增长10.933W,提升9.26%;叶片压力最高值的位置处于前加载点附近,前加载点一直处于高压区,证明了基于叶片载荷分布对井下涡轮发电机的反问题优化设计方法和理论的可行性。

    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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权辉,孙军,张晓泽,王国震,闫保永.基于叶片载荷的涡轮发电机叶片反问题优化设计研究[J].农业机械学报,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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  • 在线发布日期: 2023-08-27
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