Hydraulic Performance Optimization of Pump Impeller Based on a Joint of Particle Swarm Algorithm and Least-Squares Support Vector Regression

Fang, Hua; Ma, Jianfeng; Zhang, Wei; Yang, Hui; Chen, Feng; Li, Xiaojun

doi:10.1109/access.2020.3036913

Cited by 12 publications

(3 citation statements)

References 33 publications

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“…When beta two is raised to meet the goal value for the head, as shown by the findings of the impact analysis of the design variable, it is expected that the efficiency would suffer a minor drop in order to accommodate the new value. On the other hand, the impeller optimization model (Abdolahnejad et al, 2022;Fang et al, 2020;Ghorani et al, 2020) was created using specified response surface engineering since it was determined that this efficiency drop quite tinily and does not substantially impair the pump performance. is the most comprehensive model for the optimization of impellers.…”

Section: Methodsmentioning

confidence: 99%

Centrifugal Pump Design: An Optimization

Nguyễn¹,

VO²

2022

EPSTEM

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A centrifugal pump is an efficient piece of machinery that is often used in the activities of our everyday lives as well as the production of industrial goods. Due to the ever-increasing demands of our contemporary lifestyle, the process of designing a pump is becoming more authoritarian and demanding. In order to assist designers in overcoming these limits, an optimization algorithm would be suggested. This algorithm would help designers use optimum design methodologies and reduce risk throughout the manufacturing stage. ANSYS's Computational Fluid Dynamics (CFD) tool was used to develop numerical models for simulation. These models were created using ANSYS. For the purpose of the multi-objective optimization design, the simulation's best-chosen model was taken into consideration. This algorithm was used throughout the process of designing the ideal solution. Several design models were created by selecting characteristics such as the size of the pump volute casing section, the tongue's length, and the tongue's angle. The findings demonstrate that the provided strategy is viable for resolving the issue with the optimal design. These findings have the potential to serve as an encouraging reference for companies that manufacture centrifugal pumps, as well as researchers who are interested in applying their invention and development to the pump design sector in the future.

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Section: Methodsmentioning

confidence: 99%

Centrifugal Pump Design: An Optimization

Nguyễn¹,

VO²

2022

EPSTEM

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“…The implementation of the GA algorithm consists of three parts: selection, crossover, and mutation [27][28][29]. The selection operator, also known as the replication operator, is the basic method of the GA algorithm to ensure the spread of superior genes.…”

Section: Multi-objective Optimization Based On Ga Algorithmmentioning

confidence: 99%

Multi-Objective Optimization Design of Low Specific Speed Centrifugal Pumps Based on Genetic Algorithm

Wang,

Zhou,

Zheng

2023

IEEE Access

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Aiming at the problems of low working efficiency and high energy loss in the operation of centrifugal pump, an intelligent algorithm for centrifugal pump design was proposed. On the basis of hydraulic design, a multi-objective optimization mathematical model of centrifugal pump was established. A Genetic algorithm (GA) was designed to optimize the major structural parameters of the pump and the optimal combination of parameters was obtained. Calculation results suggested that the optimized pump efficiency was significantly augmented and the energy loss was significantly lower. The external characteristics test platform of centrifugal pump was established. The test results indicated that the head, efficiency and energy loss of the pump had been effectively improved after optimization. Under the rated working conditions, the centrifugal pump based on GA algorithm had increased the head by 26.92%, boosted the efficiency by 32.28%, and diminished the energy loss by 14.38%, which achieved the expected goal. Obviously, the GA algorithm is significantly better than the Particle Swarm Optimization (PSO) algorithm in improving the performance of centrifugal pump. The accuracy and superiority of the designed GA algorithm were verified. This served a reference for the future design of pumps with high efficiency and low energy consumption.

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“…When the temperature rises, the temperature control device cannot provide uniform performance, so a water circulation device must be added to create effective temperature control. Currently, a centrifugal pump is used to circulate the water [12], and the hydraulic performance of the pump is greatly affected by the design of the impeller [13], resulting in an even temperature distribution, as shown in Figure 3.…”

Section: The Water Flow Controlmentioning

confidence: 99%

Water Heating and Circulating Heating System with Energy-Saving Optimization Control

2023

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Over the past few years, due to an aging population and a longer life expectancy, traditional high-oil, high-calorie, and high-temperature culinary concepts have been widely replaced by healthier, low-temperature heating methods. However, while the key device of the Sous-Vide heating system ordinarily operates at full power to achieve the target temperature, pump speed control is not currently considered within the water heating and circulating system framework. This study develops a model for a water heating and circulating system and examines the characteristics of the lowest power point and pump speed. Building upon these results, we present the LPPT control method as a means of optimizing input power for heating. The effectiveness of this method is supported by simulations and experiments, which demonstrate a significant reduction in energy consumption. The control concept calculates the real-time input power based on the input voltage and current, and it can achieve the most efficient input power by perturbing the pump speed. It is demonstrated that applying LPPT to daily pot capacity reduces the Sous-Vide Cooker’s input power by up to 17% and achieves efficiency optimization control by removing the need to calculate the foods and other parameters of the water heating and circulating system environment.

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Hydraulic Performance Optimization of Pump Impeller Based on a Joint of Particle Swarm Algorithm and Least-Squares Support Vector Regression

Cited by 12 publications

References 33 publications

Centrifugal Pump Design: An Optimization

Centrifugal Pump Design: An Optimization

Multi-Objective Optimization Design of Low Specific Speed Centrifugal Pumps Based on Genetic Algorithm

Water Heating and Circulating Heating System with Energy-Saving Optimization Control

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