Design of control valve with low energy consumption based on Isight platform

Zhang, Xinbiao; Xie, Yudong; Han, Jiazhen; Wang, Yong

doi:10.1016/j.energy.2021.122328

Cited by 21 publications

(10 citation statements)

References 30 publications

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“…If the accuracy of the established model is reliable, the model can be applied to predict the properties of unknown points in space. In this study, Kriging models [ 38 ], radial basis function (RBF) models [ 39 ], linear response surface models (RSM) [ 40 ], RSM-Quadratic, RSM-Cubic and RSM-Quartet models between process parameters, and optimization objectives, were established using the Isight platform, US [ 41 , 42 ].…”

Section: Methodsmentioning

confidence: 99%

An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears

et al. 2022

Polymers

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An effective method to control the non-linear shrinkage of micro-injection molded small-module plastic gears by combining multi-objective optimization with Moldflow simulation is proposed. The accuracy of the simulation model was verified in a micro-injection molding experiment using reference process parameters. The maximum shrinkage (Y1), volume shrinkage (Y2), addendum diameter shrinkage (Y3), and root circle diameter shrinkage (Y4) were utilized as optimization objectives to characterize the non-linear shrinkage of the studied gear. An analysis of the relationship between key process parameters and the optimization objectives was undertaken using a second-order response surface model (RSM-Quadratic). Finally, multi-objective optimization was carried out using the non-dominated sorting genetic algorithm-II (NSGA-II). The error rates for the key shrinkage dimensions were all below 2%. The simulation results showed that the gear shrinkage variables, Y1, Y2, Y3, and Y4, were reduced by 5.60%, 8.23%, 11.71%, and 11.39%, respectively. Moreover, the tooth profile inclination deviation (fHαT), the profile deviation (ffαT), and the total tooth profile deviation (FαT) were reduced by 47.57%, 23.43%, and 49.96%, respectively. Consequently, the proposed method has considerable potential for application in the high-precision and high-efficiency manufacture of small-module plastic gears.

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Section: Methodsmentioning

confidence: 99%

An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears

et al. 2022

Polymers

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“…Therefore, we used Isight software for optimization analysis. The Isight platform can integrate a variety of software for engineering optimization problems [ 29 , 30 , 31 ]. For the structure of this MAM, we selected the membrane thickness, h M , the membrane side length, L x ( L x = L y ), the mass external radius, R ( r = 0.6 R ), the mass height, h k , the mass eccentricity, l 0 , the mass position, x 0 ( x 0 = y 0 ), and internal tension, T, as design variables.…”

Section: Optimizationmentioning

confidence: 99%

Acoustic Insulation Characteristics and Optimal Design of Membrane-Type Metamaterials Loaded with Asymmetric Mass Blocks

et al. 2023

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Membrane-type acoustic metamaterials (MAMs) are the focus of the current research due to their lightweight, small size, and good low-frequency sound insulation performance. However, there exists difficulties for extensive application because of the narrow sound insulation band. In order to achieve broadband sound isolation under the premise of lightweight, a novel MAM with asymmetric rings is firstly proposed in this paper. The sound transmission loss (STL) of this MAM is calculated by an analytical method and is verified by the finite element model. The different properties of the membrane when it is loaded with one, two, or four mass blocks are analyzed. The comparison with the traditional MAM proves the superior performance of this novel MAM. Moreover, by discussing the influence of the eccentricity and distribution position of the masses on the results, the tunability of the sound insulation performance of this MAM is proven. Finally, the Isight platform is used to optimize the MAM to further improve the broadband sound insulation performance: the average STL of the MAM is improved by 15.7%, the bandwidth above 30 dB is improved by 11.5%, and the mass density is reduced by 30.01%.

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“…Corbera et al (2016) proposed a genetic algorithm-based multiobjective design optimization for butterfly valves, which outperformed traditional optimization methods. Zhang et al (2022) developed a proxy model to optimize the spool design of control valves using the Isight platform software package based on sample points. Li et al (2017) developed an intelligent CFD solver system based on the existing analysis software ANSYS, Python and MATLAB, and based on the meta-model technology to learn the response relationship between the structural parameters and performance of the steam control valve, and then realize the structure of the steam control valve.…”

Section: Regulating Ball Valve 1723mentioning

confidence: 99%

Optimization of V-shaped regulating ball valve profile based on proxy optimization algorithm

Li,

Yu,

et al. 2023

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PurposeThe purpose of this study is to address the issue that the traditional V-shaped ball valve profile shape is limiting the flow control characteristics in a series structure and to optimize the design profile by proposing an open-hole profile.Design/methodology/approachThis paper proposes a Gaussian process regression surrogate model based on the genetic algorithm optimization of swarm intelligence, combined with the Expected Improvement point addition criterion, to optimize and correct the design profile. The flow regulation performance of the optimized V-shaped regulating ball valve is verified through a combination of numerical simulation and experiment.FindingsThe results demonstrate that the optimized V-shaped regulating ball valve has higher flow regulation accuracy and a more stable flow regulation process. After optimization, the flow characteristic curve of the spool is closer to the ideal equal percentage characteristic. The simulation results of the flow field are consistent with the experimental results.Originality/valueThe proposed method significantly reduces the optimization time, has higher efficiency and solves the problem that traditional optimization methods struggle with, which is ensuring optimal flow regulation performance. Compared to the traditional trial-and-error optimization method, the proposed method is more effective. The feasibility of the method is supported by experimental results.

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Design of control valve with low energy consumption based on Isight platform

Cited by 21 publications

References 30 publications

An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears

An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears

Acoustic Insulation Characteristics and Optimal Design of Membrane-Type Metamaterials Loaded with Asymmetric Mass Blocks

Optimization of V-shaped regulating ball valve profile based on proxy optimization algorithm

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