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离心泵多工况水力性能优化设计方法 被引量:30

Optimization method for hydraulic performance of centrifugal pump at multi-operation points
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摘要 基于全局优化算法和各项损失计算的离心泵能量性能计算模型,提出一种离心泵多工况水力性能优化设计方法.该方法以原始设计的关键几何参数值为初始条件、设计工况的扬程为约束条件、多个工况的加权平均功率最小为目标,同时采用自适应模拟退火算法对离心泵能量性能计算模型进行求解,采用超传递近似法来确定各目标函数的权重因子,并采用该方法对一比转数为129.3的离心泵进行了多工况优化,最后分别对原设计和多工况优化设计进行了数值计算,计算结果表明:0.6Qd和1.2Qd工况下,多工况优化得到的功率低于原始设计,而设计工况下,多工况优化得到的功率比原始设计略高;多工况优化得到的3工况点加权平均功率比原始设计低0.06%;多工况优化的3点加权平均效率则比原始设计高0.46%.研究结果对于离心泵的节能设计具有比较重要的参考价值. An optimization method for the hydraulic design of centrifugal pumps at multi-operation points was proposed by means of a global optimization algorithm and a computational model for estimating hydraulic losses and energy performance of centrifugal pumps.In the method,the values of several key geometric parameters in an original design were used as the initial conditions,and the design head was considered as a constraint condition,and the weighted average shaft-power at multiple operation conditions was chosen as the objective function.The adaptive simulated annealing algorithm was used to solve the model of hydraulic losses and energy performance.Additionally,the super-transitive approximation method was applied to update optimal weighted coefficients in the objective function.A centri-fugal pump with a special speed of 129.3 was optimized with the method.The CFD numerical simulations were done for the original design and the optimized one,respectively.It was shown that the shaft-power of the optimized case is less,but the head is higher than the original design at 0.6Qd and 1.2Qd.The weighted average shaft-power optimized is decreased by 0.06%,but the weighted average efficiency rises by 0.46% compared with the original design.The results could be really useful to design an energy-saving centrifugal pump.
出处 《排灌机械工程学报》 EI 北大核心 2012年第1期20-24,共5页 Journal of Drainage and Irrigation Machinery Engineering
基金 国家杰出青年科学基金资助项目(50825902) 国家自然科学基金资助项目(51079062) 江苏省'333高层次人才培养工程'科研项目
关键词 离心泵 多工况 自适应模拟退火算法 加权平均功率 优化设计 centrifugal pump multi-operation condition adaptive simulated annealing weighted average shaft-power optimization design
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