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Flow resistance optimization of link lever butterfly valve based on combined surrogate model

  • Industrial Application Paper
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Abstract

Large-diameter link lever butterfly valve is widely used in the transportation and adjustment of fluid media in the marine field. Because the opening and closing process of the link lever butterfly valve is mainly realized by the internal connecting rod mechanism, and it always exists in the fluid domain to affect the flow performance of the valve. It is necessary to optimize the connecting rod mechanism inside the valve. There are many structural safety problems in the connecting rod mechanism during the valve opening and closing process, such as large starting torque, vortex and turbulence near the valve disc causing resonance of the device, etc. This paper proposes a method to optimize the internal structure of the link lever butterfly valve to improve the flow performance of the valve while meeting the structural safety. The surrogate model is combined with finite element method (FEM) and computational fluid dynamics (CFD) analysis to improve optimization efficiency. The Response surface method (RSM) model is used to replace the Kriging model with insufficient accuracy, and build the combined surrogate model based on the global error criterion. The optimization algorithm combined with MIGA and NLPQL is used to obtain the best results of internal structural variables. The accuracy of the combined surrogate model is verified through FEM and CFD analysis. The results show that the flow performance of the link lever butterfly valve is greatly increased and combined surrogate model can effectively replace the finite element model to solve the optimization problem.

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Code availability

In order to implement the method described in the article more conveniently, provide the matlab code in the " Replication of results".

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Funding

This work was supported by National key R&D program of China (Project Number: 2020YFB2007203).

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Authors and Affiliations

  1. School of Mechanical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China

    Lintao Wang, Shoukun Zheng, Xin Liu, Hao Xie & Jing Dou

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  1. Lintao Wang
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  2. Shoukun Zheng
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  3. Xin Liu
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  4. Hao Xie
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  5. Jing Dou
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Corresponding author

Correspondence to Lintao Wang.

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The authors declare that they have no conflict of interest.

Replication of results

The code used in this article is shown in Table 5. "Check_Accuracy.m" is used to check the accuracy of the Kriging model. "Predictive_value.m" is used to calculate the predicted value. "NormalizedX.m" is used to normalize design variables. "Neglnlike.m" is used to calculate the negative number of concentration and likelihood. The RSM model in the combined surrogate model is directly generated in Isight. "Calculation.m" is used to calculate the Kriging model of the maximum deformation, the first-order natural frequency and the second-order natural frequency, and to check the strength of the valve. Combining "Calculation.m" and Isight software can easily optimize the valve (Table 8).

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Appendix

Appendix

Table 8 Results of optimization
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Wang, L., Zheng, S., Liu, X. et al. Flow resistance optimization of link lever butterfly valve based on combined surrogate model. Struct Multidisc Optim 64, 4255–4270 (2021). https://doi.org/10.1007/s00158-021-03060-5

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  • DOI: https://doi.org/10.1007/s00158-021-03060-5

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