MDO strategy for meridian plane design to improve energy conversion capability of LFR main coolant pump

Zhao, Yuanyuan; Lu, Yonghao; Zhu, Rongsheng; Long, Yun; Wang, Xiuli

doi:10.1016/j.anucene.2020.107763

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…Since the pump requires high efficiency under large flow conditions, the hydraulic efficiency at 1.2 Q d (Q d : design flow rate) was considered as the optimization objective. In order to ensure that the pump head meets the design requirements, the pump head was taken as the constraint condition, and the range was 128–132 m. 10,16 The efficiency and head of the pump can be defined as following 11 :…”

Section: Optimization Methodsmentioning

confidence: 99%

“…The pump performance depends upon various geometrical parameters of the impeller. The shape of the blade [11][12][13][14] and the profile of the impeller meridional plane [15][16][17] have significant impact on the efficiency and head of the pump. In the present study, the eight geometrical parameters of impeller, namely blade inlet angle b 1 , blade outlet angle b 2 , blade wrap angle u, No.…”

Section: Optimization Objective and Design Variablesmentioning

confidence: 99%

“…Sen-Chun et al 15 employed genetic algorithm and back propagation neural network algorithm to conduct the optimization of impeller meridional plane of a pump as turbine. Zhao et al 16 constructed an automatic simulation optimization platform based on ISIGHT software. The pump design software CFturbo, PumpLinx, and MATLAB were systematically integrated to conduct the optimization of the LBE-cooled main coolant pump.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the impeller for hydraulic performance improvement of a high-speed magnetic drive pump

Kong

Zhang

et al. 2022

Advances in Mechanical Engineering

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Magnetic drive centrifugal pumps have compact structure and lower efficiency than ordinary centrifugal pumps. The surrogate-based optimization technique was applied to improve the performance of a high-speed magnetic drive pump with the help of numerical simulations. Eight geometrical parameters of the impeller were considered as the design variable. About 290 samples of impeller were generated by optimal Latin hypercube sampling (OLHS) method, and the corresponding efficiencies of all the impeller samplings were obtained from numerical simulation. The performance test of the prototype pump was carried out, and the experimental results were in good agreement with the numerical simulation results. The hydraulic efficiency at 1.2 Qd of the magnetic drive pump was set as the optimization objective. Using response surface methodology (RSM), surrogate models were established for the objective functions based on the numerical results. The multi-island genetic algorithm (MIGA) was used to optimize the impeller. The hydraulic efficiency of the optimal impeller at rated flow rate was 72.89%, which was 6.23% higher than the prototype impeller.

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Section: Optimization Methodsmentioning

confidence: 99%

Section: Optimization Objective and Design Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of the impeller for hydraulic performance improvement of a high-speed magnetic drive pump

Kong

Zhang

et al. 2022

Advances in Mechanical Engineering

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“…Almost all related papers on the research of the MCP's idling performance are pressurized water reactors. [12][13][14] At present, the Generation IV LFR technology is still in the stage of conceptual design and experimental research. Only a few designs are commercially developed, and the rest are only conceptual designs.…”

Section: Introductionmentioning

confidence: 99%

Shutdown idling performance of the nuclear main coolant pump under station blackout accident: An optimization study

Zhao

Batlló

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part A:

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Lead-cooled fast reactor (LFR) is an important reactor type of the Generation IV nuclear energy, and the main coolant pump (MCP) is the only and most critical power equipment in primary circuit of LFR. The shutdown idling performance of the MCP, is one of the most important safety indicators in the event of a station blackout accident. When the motor loses its power supply, the MCP needs to run under the inertia of the flywheel to ensure the coolant flow for a short time. This study mainly focuses on the idling mathematical model of the MCP under power failure accidents. In this study, taking the shutdown idling performance of the MCP as the optimization goal, the parametric optimization analysis of the impeller and diffuser structure of the MCP was carried out. Specifically, based on the platform ISIGHT, the software of CFturbo, TurboGrid, CFX, Matlab and FLOWMASTER are systematically integrated, the automated 3D modeling, automatic meshing and automatic CFD calculation of different hydraulic model of the MCP are realized. And the neural network mathematical model between the geometric parameters of MCP and the idling performance indicators is established. The study shows that there is a strong linear relationship between the idling performance of the MCP and its head and shaft power, and meridian parameters of Δβ 2, Z 1, Φ 1h and the radial surface parameters of Δβ 1 and Δβ 2, Z 1 and Φ 1h have the greatest impact on the idling performance of MCP.

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“…[8] applied MDO technology to the structure design of automobile body and chassis, effectively solved the multi-disciplinary and multi-objective optimization problems, especially for engineering optimization problems with diverse design variables and optimization objectives. [9] made use of MDO to optimize the six geometric structure parameters of pump, output the optimal shaft power parameters, and obtained the influence of coupling effect of geometric parameters on hydraulic performance of pump, thus effectively balanced the design requirements of complex hydraulic pump.…”

Section: Introductionmentioning

confidence: 99%

Kinematic Cooperative Optimization Control Algorithm for Underground Heavy-Load Robot

Fang

Wang

et al. 2021

J Intell Robot Syst

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Because of complex and strong coupling system, the precision and adaptability of underground robots are greatly restricted. Based on the newly developed intelligent underground heavy-load robot which is still a gap to fill in current coal mine machinery, this paper proposes a new dynamic cooperative optimization control algorithm. Firstly, the complex and strongly coupled Multi-disciplinary Design Optimization system of the robot is decoupled into horizontal/vertical motion space with the idea of hierarchical target transmission, in order to weaken the strong coupling relationship between each hydraulic loop. Then, the spatial posture coefficient is introduced into main/auxiliary feedback control loop in horizontal/vertical motion space, to realize optimal collaborative control of each hydraulic loop under the premise of weak coupling between each control loop, so as to obtain the precise dynamic control signals of each hydraulic loop, and finally realize the optimal control of overall system for the robot. Lastly, the experiment and simulation verify that the DCO control algorithm presented in this paper can obtain better control results: The executive efficiency of the overall system is improved by 14.2%; The control flow is saved by 9.98%, and the executive precision meets the engineering and technical requirements. This paper provides a new efficient method and idea for the control system of intelligent underground heavy-load robots. Furthermore, the algorithm has reference value on development and design of high precise control system for the same kind of complex intelligent engineering machinery products.

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MDO strategy for meridian plane design to improve energy conversion capability of LFR main coolant pump

Cited by 9 publications

References 27 publications

Optimization of the impeller for hydraulic performance improvement of a high-speed magnetic drive pump

Optimization of the impeller for hydraulic performance improvement of a high-speed magnetic drive pump

Shutdown idling performance of the nuclear main coolant pump under station blackout accident: An optimization study

Kinematic Cooperative Optimization Control Algorithm for Underground Heavy-Load Robot

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