A Fast 3D Inverse Design Based Multi-Objective Optimization Strategy for Design of Pumps

Zangeneh, Mehrdad; Daneshkhah, Kasra

doi:10.1115/fedsm2009-78443

Cited by 5 publications

(9 citation statements)

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“…Design of hydraulic machinery is a multi-objective job, and multi-objective design approaches are necessary in order to find a compromise between sometimes conflicting objectives [55][56][57][58]. Normally, modern optimization work of hydraulic machinery can be divided into four steps.…”

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

“…Finally, a mathematical optimization algorithm is conducted to find the final optimum design. A typical multi-objective optimization process based on the inverse design method, CFD calculations, response surface methodology, and multi-objective genetic algorithm [56] is shown in Figure 13. Design of hydraulic machinery is a multi-objective job, and multi-objective design approaches are necessary in order to find a compromise between sometimes conflicting objectives [55][56][57][58].…”

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

“…Finally, a mathematical optimization algorithm is conducted to find the final optimum design. A typical multi-objective optimization process based on the inverse design method, CFD calculations, response surface methodology, and multi-objective genetic algorithm [56] is shown in Figure 13. An optimization system based on IDM shows better performance than one based on the conventional design method, especially in terms of optimization time cost.…”

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

“…Compared with the conventional design method, which mainly deals with geometrical parameters, fluid dynamic parameters such as pressure or blade loading are considered as the design parameters in the IDM. The fluid dynamic parameters show more direct influence on the hydraulic performance than the geometrical parameters, and it is more convenient to establish a relationship between fluid dynamic design parameters and hydrodynamic performance, which is favorable to the application of a surrogate model, such as the response surface model [56][57][58][59][60][61][62][63][64][65], in the inverse optimization design. At the same time, fewer numbers of fluid dynamic parameters are needed to represent the blade geometry compared to the geometrical parameters, and it is beneficial for the multi-objective optimization design of the hydraulic machinery.…”

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

“…At the same time, fewer numbers of fluid dynamic parameters are needed to represent the blade geometry compared to the geometrical parameters, and it is beneficial for the multi-objective optimization design of the hydraulic machinery. As a result, the IDM, three-dimensional turbulence simulation technique, and optimization algorithm are usually combined to solve the multi-objective optimization problem of the turbomachinery (as summarized in Table 1), and the design quality can be improved significantly [55][56][57][58]60,[66][67][68]. [61,69] (3) Efficiency, maximum slope in flow-head curve, and shut-off power/head [64] (4) Efficiency, suction specific speed [68] IDM + CFD + MOGA/NSGA-II [55,61] IDM + DoE + CFD + RSM + MOGA [64] IDM + CFD + SLP/EP/SA/GA [68] IDM + DoE + CFD + RBNN + NSGA-II [69] Cavitation performance improved and leading edge sweep reduced [55] Performances at both design and off-design point improved [61,69] Efficiency and suction performance improved [68] [ As seen in Table 1, the inverse-design-based optimization methods have been applied successfully to different types of turbomachinery such as pumps, turbines, pump-turbines, compressors, and fans.…”

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

See 4 more Smart Citations

Three-Dimensional Inverse Design Method for Hydraulic Machinery

2019

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Hydraulic machinery with high performance is of great significance for energy saving. Its design is a very challenging job for designers, and the inverse design method is a competitive way to do the job. The three-dimensional inverse design method and its applications to hydraulic machinery are herein reviewed. The flow is calculated based on potential flow theory, and the blade shape is calculated based on flow-tangency condition according to the calculated flow velocity. We also explain flow control theory by suppression of secondary flow and cavitation based on careful tailoring of the blade loading distribution and stacking condition in the inverse design of hydraulic machinery. Suggestions about the main challenge and future prospective of the inverse design method are given.

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Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

“…Finally, a mathematical optimization algorithm is conducted to find the final optimum design. A typical multi-objective optimization process based on the inverse design method, CFD calculations, response surface methodology, and multi-objective genetic algorithm [56] is shown in Figure 13. An optimization system based on IDM shows better performance than one based on the conventional design method, especially in terms of optimization time cost.…”

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

Section: Application Of the Inverse Design Methods To Optimizationmentioning

confidence: 99%

See 3 more Smart Citations

Three-Dimensional Inverse Design Method for Hydraulic Machinery

2019

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Multi-Objective Shape Optimization on the Inlet Pipe of a Vertical Inline Pump

Pei

Gan

Wang

et al. 2019

Journal of Fluids Engineering

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Vertical inline pump is a single-stage single-suction centrifugal pump with a bent pipe before the impeller, which is usually used where installation space is a constraint. In this paper, with three objective functions of efficiencies at 0.5 Qd, 1.0 Qd, and 1.5 Qd, a multi-objective optimization on the inlet pipe of a vertical inline pump was proposed based on genetic algorithm with artificial neural network (ANN). In order to describe the shape of inlet pipe, the fifth-order and third-order Bezier curves were adopted to fit the mid curve and the trend of parameters of cross sections, respectively. Considering the real installation and computation complexity, 11 variables were finally used in this optimization. Latin hypercube sampling (LHS) was adopted to generate 149 sample cases, which were solved by CFD code ANSYS cfx 18.0. The calculation results and design variables were utilized to train ANNs, and these surrogate models were solved for the optimum design using multi-objective genetic algorithm (MOGA). The results showed the following: (1) There was a great agreement between numerical results and experimental results; (2) The ANNs could accurately fit the objective functions and variables. The maximum deviations of efficiencies at 0.5 Qd, 1.0 Qd, and 1.5 Qd, between predicted values and computational values, were 1.94%, 2.35%, and 0.40%; (3) The shape of inlet pipe has great influence on the efficiency at part-load and design conditions while the influence is slight at overload condition; (4) Three optimized cases were selected and the maximum increase of the efficiency at 0.5 Qd, 1.0 Qd, and 1.5 Qd was 4.96%, 2.45, and 0.79%, respectively; and (5) The velocity distributions of outflow in the inlet pipe of the three optimized cases were more uniform than the original one.

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Multi-Objective Optimization of a High Specific Speed Centrifugal Volute Pump Using 3D Inverse Design Coupled With CFD Simulations

Zhang

Davila²,

Zangeneh

2019

Volume 3B: Fluid Applications and Systems

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This paper presents three different multi-objective optimization strategies for a high specific speed centrifugal volute pump design. The objectives of the optimization consist of maximizing the efficiency and minimizing the cavitation while maintaining the Euler head. The first two optimization strategies use a 3D inverse design method to parametrize the blade geometry. Both meridional shape and 3D blade geometry is changed during the optimization. In the first approach Design of Experiment method is used and the efficiency computed from CFD computations, while cavitation is evaluated by using minimum pressure on blade surface predicted by 3D inverse design method. The design matrix is then used to create a surrogate model where optimization is run to find the best tradeoff between cavitation and efficiency. This optimized geometry is manufactured and tested and is found to be 3.9% more efficient than the baseline with little cavitation at high flow. In the second approach the 3D inverse design method output is used to compute the efficiency and cavitation parameters and this leads to considerable reduction to the computational time. The resulting optimized geometry is found to be similar to the more computationally expensive solution based on 3D CFD results. In order to compare the inverse design based optimization to the conventional optimization an equivalent optimization is carried out by parametrizing the blade angle and meridional shape. Two different approaches are used for conventional optimization one in which the blade angle at TE is not constrained and one in which blade angles are constrained. In both cases larger variation in head is obtained when compared with the inverse design approach. This makes it impossible to create an accurate surrogate model. Furthermore, the efficiency levels in the conventional optimization is generally lower than the inverse design based optimization.

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A Fast 3D Inverse Design Based Multi-Objective Optimization Strategy for Design of Pumps

Cited by 5 publications

References 0 publications

Three-Dimensional Inverse Design Method for Hydraulic Machinery

Three-Dimensional Inverse Design Method for Hydraulic Machinery

Multi-Objective Shape Optimization on the Inlet Pipe of a Vertical Inline Pump

Multi-Objective Optimization of a High Specific Speed Centrifugal Volute Pump Using 3D Inverse Design Coupled With CFD Simulations

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