Adaptive POD surrogate model method for centrifugal pump impeller flow field reconstruction based on clustering algorithm

2020 ◽  
pp. 2150126
Author(s):  
Xuebing Chen ◽  
Renhui Zhang ◽  
Lijie Jiang ◽  
Weifeng Yang
Keyword(s):  
Flow Field ◽  
Surrogate Model ◽  
Clustering Algorithm ◽  
Orthogonal Basis ◽  
Pump Impeller ◽  
Fixed Sample ◽  
Wrap Angle ◽  
Flow Field Reconstruction ◽  
Proper Orthogonal ◽  
Centrifugal Pump Impeller

To reduce the calculation cost and improve the accuracy of flow field prediction, an adaptive proper orthogonal decomposition (APOD) surrogate model based on K-means clustering algorithm was proposed to reconstruct the flow field of impeller. The experiment samples were designed by introducing the perturbation of the blade control parameters such as blade wrap angle and blade angle of outlet. K-means clustering algorithm was used to classify the sample blade shapes, and find out the cluster of the objective blade. The snapshot set, which consisted of the blade shape and the flow field data of impeller, can be described as a linear combination of orthogonal basis by POD method. The radial basis function (RBF) was used to fit the orthogonal basis coefficients of the objective blade, and then the flow field of objective impeller was reconstructed. The traditional fixed sample POD (FPOD) method and the proposed APOD method were used to reconstruct the flow field in impeller, respectively, and the prediction results of the two methods were compared and analyzed. The results show that the proposed APOD method could quickly and accurately reconstruct the objective flow field. The flow field prediction accuracy of the APOD method is significantly higher than the FPOD method, and the calculation time for the flow field prediction is less than 1/360 of the CFD.

scholarly journals Investigation on the Flow Field Upstream of a Centrifugal Pump Impeller

2011 ◽  
Vol 4 (1) ◽  
pp. 209-216 ◽  
Author(s):  
Yao Zhang ◽  
Xianwu Luo ◽  
Yunchi Yi ◽  
Baotang Zhuang ◽  
Hongyuan Xu
Keyword(s):  
Flow Field ◽  
Centrifugal Pump ◽  
Pump Impeller ◽  
Centrifugal Pump Impeller

The PIV Measurements on the Flow Fields in an Unshrouded Centrifugal Pump

Volume 1 ◽  
2004 ◽  
Author(s):  
Chao Liu ◽  
Fangping Tang ◽  
Sun Sun ◽  
Li Cheng ◽  
Jiren Zhou
Keyword(s):  
Flow Field ◽  
Centrifugal Pump ◽  
Flow Rate ◽  
Flow Fields ◽  
Pressure Side ◽  
Pump Impeller ◽  
Lower Velocity ◽  
Piv Measurements ◽  
Velocity Zone ◽  
Centrifugal Pump Impeller

PIV was applied to the measurements of flow field in an unshrouded centrifugal pump impeller. Three windows were selected for the measurements. Three operation points of the pump were taken during the measuring. The ratios (Q/QBEP) of the flow rate for measuring are 0.6, 1.0, and 1.4, respectively. The velocity distributions in blade-to-blade passages obtained at different windows give the evidence that the velocity distributions are asymmetric even under the design operation point. A lower velocity zone existed at middle of blade-to-blades passages near the pressure-side of the blade.

Optimization design of centrifugal pump impeller based on multi-output Gaussian process regression

2021 ◽  
pp. 2150364
Author(s):  
Renhui Zhang ◽  
Liangde Gao ◽  
Xuebing Chen
Keyword(s):  
Centrifugal Pump ◽  
Surrogate Model ◽  
Optimization Design ◽  
Design Method ◽  
Gaussian Process Regression ◽  
Nsga Ii ◽  
Pump Impeller ◽  
Hydraulic Design ◽  
Sample Set ◽  
Centrifugal Pump Impeller

To overcome the problems of large calculation cost and high dependence on designers’ experience, an optimization design method based on multi-output Gaussian process regression (MOGPR) was proposed. The hydraulic design method of centrifugal pump based on the MOGPR model was constructed under Bayesian framework. Based on the available excellent hydraulic model, the complex relationship between the performance parameters such as head, flow rate and the geometric parameters of centrifugal pump impeller was trained. The hydraulic design of the impeller for M125-100 centrifugal pump was performed by the proposed MOGPR surrogate model design method. The initial MOGPR design was further optimized by using the proposed MOGPR and NSGA-II hybrid model. The initial sample set for NSGA-II was designed by Latin hypercube design based on the MOGPR initial design. The relationship between the impeller geometry and the CFD numerical results of the sample set was trained to construct the surrogate model for pump hydraulic performance prediction. The MOGPR surrogate model was used to evaluate the objective function value of the offspring samples in NSGA-II multi-objective optimization. The comparison of the pump hydraulic performance between the optimized designs and the initial design shows that the efficiency and the head of the tradeoff optimal design are increased by 2.5% and 2.6%, respectively. The efficiency of the optimal head constraint design is increased by 3.2%. The comparison of the inner flow field shows that turbulent kinetic energy decreases significantly and flow separation is effectively suppressed for the optimal head constraint design.

Performance optimization of liquid ring pumps based on Gappy POD surrogate model

2021 ◽  
Author(s):  
Guangqiang Guo ◽  
Renhui Zhang ◽  
Junhu Yang ◽  
Jingyi Wang
Keyword(s):  
Flow Field ◽  
Performance Optimization ◽  
Surrogate Model ◽  
Cfd Simulation ◽  
Design Parameters ◽  
Gradient Vector ◽  
Pump Impeller ◽  
Impeller Blade ◽  
Blade Shape ◽  
Liquid Ring

To solve the problems of high calculation cost and difficult optimization caused by the complex gas–liquid two-phase flow in liquid ring pumps, an optimization method of a liquid ring pump impeller based on the proper orthogonal decomposition (POD) surrogate model was proposed. The impeller blade shape was parameterized by using the quartic Bezier curve. The sample was obtained from the uniform experimental design of blade shape design parameters. The POD surrogate model was constructed by the parameters of sample blade shape and its corresponding flow field data, which was used instead of CFD numerical simulation to predict the flow field variables under the perturbations of blade design parameters in the optimization process. And then, the gradient vector of the objective function to design variables was predicted quickly and accurately. The blade shape was updated continuously along the negative direction of the gradient vector, and then, the optimal design of the impeller was acquired. The calculation case results show that the relative error between the pressure field in the impeller predicted by the POD method and that of CFD simulation is less than 5%, and the calculation cost is only 1/8460 of CFD simulation. Compared with the original model, the flow field distribution in the optimized model is significantly improved, and the efficiency is promoted by 3.8%.

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