Noise optimization of multi-stage orifice plates based on RBF neural network response surface and adaptive NSGA-II

Gan, Runlin; Li, Baoren; Tang, Tengfei; Liu, Song; Chu, Jingrui; Yang, Gang

doi:10.1016/j.anucene.2022.109372

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…The structured mesh of the model is shown in figure 4, The mesh of the fluid domain of interest has been locally refined, and the mesh quality is greater than 0.6. Grid independence analysis is conducted to balance the simulation accuracy and computational efficiency [22]. In this analysis, T 2 , T 3 , and T 4 are selected as reference values.…”

Section: Simulation Modelmentioning

confidence: 99%

The high-temperature gas soft measurement method based on the temperature attenuation patterns of flowing argon gas inside a cavity

Yang,

Wang,

Chu

et al. 2024

Meas. Sci. Technol.

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The device for generating the airflow temperature signal is employed in aircraft ground simulation. This process involves heating the argon gas by the arc discharge to generate high-temperature gas, which subsequently flows into the cavity and mixes with cold gas to produce the temperature signal. However, the temperature of argon gas at the entrance of the cavity is excessively high, and sensor installation is challenging, making direct measurement difficult. This paper introduces a high-temperature gas soft measurement method (HTGSM) based on the temperature attenuation patterns of flowing argon gas inside the cavity, and establishes a mathematical model for the flow and temperature distribution of argon gas within the cavity. The method calculates the target temperature at the entrance of the cavity by measuring the lower-temperature argon gas at the outlet of the cavity. Furthermore, a simulation and experimental platform were set up to validate the proposed method. The experimental results indicate that there is an 7.9% deviation between the soft measurement values and the directly measured values of argon gas temperature in the middle of the cavity. At the outlet of the cavity, the maximum deviation between the directly measured argon gas temperature and the simulation calculation results based on the soft measurement values at the entrance temperature is 5.2%. The paper rigorously validates the accuracy of the soft measurement method from various perspectives. Notably, this method offers the advantage of remote indirect measurement, and indirectly expanding the upper limit of the temperature sensor.

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Section: Simulation Modelmentioning

confidence: 99%

The high-temperature gas soft measurement method based on the temperature attenuation patterns of flowing argon gas inside a cavity

Yang,

Wang,

Chu

et al. 2024

Meas. Sci. Technol.

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“…With the development of science and technology, in order to effectively control the noise of the valve, intelligent algorithms have been introduced to optimize the noise of hydraulic throttle valves [8]. Gan et al [9] used RBF neural network response surface and adaptive NSGA-II algorithm to optimize the structure of multi-stage orifice plates; the research results showed that the proposed method can effectively reduce the noise of multi-stage orifice plates. Wang et al [10] used a multi-objective genetic algorithm to optimize the design of pressure drilling throttle valves, and the research results found that the optimized structure can effectively improve the erosion of the throttle valve.…”

Section: Introductionmentioning

confidence: 99%

Research on Noise Reduction of Water Hydraulic Throttle Valve Based on RBF Neural Network and Multi-Island Genetic Algorithm

Wang,

Nan,

Zhou

et al. 2024

Machines

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Excessive pressure drop within the internal flow channel of the water hydraulic throttle valve will generate severe noise. In order to reduce the noise of the throttle valve, in this paper, the model of the throttle valve was established, and the flow characteristics and acoustic characteristics of the valve were simulated. The simulation results showed that the parameters of the throat structure, such as the half angle, throat inlet angle and throat length, have a significant effect on the noise of the valve. Then, the three main structural parameters were used as optimization variables, and radial basis function (RBF) neural networks and multi-island genetic algorithms (MIGA) were used to reduce the noise of the valve. The approximate model of the relationship between the structural parameters of the valve and noise was established by RBF neural networks, and MIGA was used to optimize the approximate model. Finally, the optimal valve model was established based on the obtained optimal parameters, and its noise was analyzed through simulation and experiment. The research results indicated that the optimization method, which combines RBF Neural Network and MIGA, can effectively reduce the noise of hydraulic throttle valves.

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“…Among them, the RBF surrogate model exhibits the advantages of a simple structure, good fitting accuracy, strong robustness, and stability; thus, it is suitable for complex high-dimensional nonlinear problems [7,8] and can circumvent the need for excessive calculations, while alleviating the calculation uncertainty associated with optimizing reactor design. To date, optimization methods combined with RBF surrogate model have been widely used for engineering design optimization in machinery and aerospace industries [9,10]; they are gradually being applied to reactors and related fields [11].…”

Section: Introductionmentioning

confidence: 99%

Radial Basis Function Surrogate Model-Based Optimization of Small Light-Weight Lead-Bismuth Reactor Core

Zijing

Zhao

et al. 2023

International Journal of Energy Research

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Owing to their high miniaturization potential and strong natural circulation capability, lead-bismuth reactors have been widely employed for nuclear energy utilization as well as military and civilian applications. However, there is a need to optimize the design of these reactors. To solve the complex high-dimensional nonlinear single-/multiobjective optimization problem of lead-bismuth reactors, we proposed a single-/multiobjective optimization method (termed as RBF-OLHS-NGA/NSGA II method) for optimizing the reactor core, which is based on the radial basis function (RBF) surrogate model (for prediction), orthogonal Latin hypercube sampling, niche genetic algorithm (for single-objective optimization), and nondominated sorting genetic algorithm (for multiobjective optimization). In view of this approach, the design optimization procedure of the lead-bismuth reactor based on RBF (DOPPLER-R) was developed, which combined the reactor Monte Carlo (RMC) code and the steady-state thermo-hydraulic analysis calculation (STAC) code to sample, predict, and optimize reactor core parameters. Furthermore, the single-/multiobjective optimization approach was verified by considering the core fuel loading and active zone volume of SPALLER-4 as the optimization objectives. The results show that the RBF surrogate model can accurately and rapidly predict the core characteristic parameters of lead-bismuth reactors. When compared to the value calculated using the RMC code, the relative error associated with the predicted effective multiplication factor ( k e f f ) is within ±0.1%. Compared to the unoptimized values, the single-objective optimized fuel loading reduced by 400 kg, multiobjective optimized fuel loading decreased by 455–493 kg (optimization ratio of 78%–84%), and active zone volume reduced by 166362–182888 cm3 (optimization ratio of 72%–79%). These results prove that the proposed optimization method is feasible, exhibits high efficacy, and can provide new technical ideas for single-/multiobjective optimization of multiphysics, multivariable, and multiconstraint lead-bismuth reactors.

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Noise optimization of multi-stage orifice plates based on RBF neural network response surface and adaptive NSGA-II

Cited by 11 publications

References 30 publications

The high-temperature gas soft measurement method based on the temperature attenuation patterns of flowing argon gas inside a cavity

The high-temperature gas soft measurement method based on the temperature attenuation patterns of flowing argon gas inside a cavity

Research on Noise Reduction of Water Hydraulic Throttle Valve Based on RBF Neural Network and Multi-Island Genetic Algorithm

Radial Basis Function Surrogate Model-Based Optimization of Small Light-Weight Lead-Bismuth Reactor Core

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