The Mixed Modeling of the Steam Turbine Flow Characteristics Based on Improved Particle Swarm Optimization Level

Ning Zhao; Ya Mi Chen; Hui Jie Wangr

doi:10.4028/www.scientific.net/AMM.672-674.1650

Paper Titles

Study of Coupling Numerical Flow Field Simulation of Low-Pressure Last Stage Exhaust Passage in Steam Turbine
p.1626

Study of Pressure Characteristics in PWM Controlled Variable Rate Spraying System
p.1633

Floating Ring Balance Analysis of Journal Floating Ring Hybrid Bearing in Turbulent Regime
p.1637

Research on Supersonic and Subsonic Field of Externally Pressurized Gas Lubricated Bearing
p.1642

The Mixed Modeling of the Steam Turbine Flow Characteristics Based on Improved Particle Swarm Optimization Level
p.1650

Numerical Optimization for Bottom Structure of ZGM Medium Speed Mill
p.1656

Analysis on Thermal Comfort of Air-Conditioned Buildings in Malaysia: Case Study of Universiti Tenaga Nasional
p.1665

Dynamic Behavior of Air Condition System and Temperature Control Analysis
p.1670

Entropy Analysis of a R32/CO₂ Cascade Refrigeration Cycle
p.1676

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 672-674The Mixed Modeling of the Steam Turbine Flow...

The Mixed Modeling of the Steam Turbine Flow Characteristics Based on Improved Particle Swarm Optimization Level

Abstract:

Power station steam turbine stage flow characteristics show that the relationship between pressure and flow, which was the important research foundation for analysis of steam turbine performance and the further optimization analysis of unit. Based on strict theory analysis, this article obtained two important key characteristic coefficients such as the capacity of flow coefficient and the level of group critical pressure ratio which mainly influenced the turbine characteristics. And then the secondary flow calculation model was imposed combining with the massive actual data, adapting the method of improved PSO algorithm. The practical results show that, the obtained model not only ensured good regularity and ductility, but also has higher calculation precision.

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Periodical:

Applied Mechanics and Materials (Volumes 672-674)

Pages:

1650-1655

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.672-674.1650

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Online since:

October 2014

Authors:

Ning Zhao*, Ya Mi Chen, Hui Jie Wangr

Keywords:

Flow Characteristics, Hybrid Model, Steam Turbine, Unit

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* - Corresponding Author

References

[1] Pan Wen-quan, Fluid Mechanics Principle [M] ．Mechanical Industrial Press. (1983).

Google Scholar

[2] Shen Shi-yi, Steam Turbine Principle. [M]．Water Conservancy and Electric Power Press. (1992).

Google Scholar

[3] Cao Zu-qing, The Characteristic of Changing Behaviour of Steam Turbine. [M]．Water Conservancy and Electric Power Press. (1991).

Google Scholar

[4] А.В. Щегляев, Steam Turbine. [M]．Higher Education Press. (1954).

Google Scholar

[5] Chunfa Zhang，etc．Thermo-Economy State Equation of Modern Power System, [J], Journal of Engineering Thermophysics, (2001).

Google Scholar

[6] Chunfa Zhang，etc．Steam-water Distribution Matrix Equation of the Whole Thermal System for Coal-fired Power Plant and its General Construction Regulations, American Society of Mechanical Engineers, Power Division (Publication) PWR, v34-2, 1999, pp.497-503.

Google Scholar

[7] Zhang Chunfa, etc. Proof for Part of the Sttla Flow Experimental Conclusion and the Improvement of Flugel Formula [J], Science in China (series E), 2002, 45.

DOI: 10.1360/02ye9005

Google Scholar

[8] Liu Fuguo. Power plant coal into the furnace element analysis and heat of the soft sensor real-time monitoring [J]. Electrical Engineering of . 2005, 25 (6) : 139-146.

Google Scholar

[9] Zhang Zhiming, Chenghui Tao, Hong Xu, Hu, three high in the neural network ensemble forecasting model and its hair in the steam turbine unit state of repair [J]. Electrical Engineering of . 2003, 23 (9): 204 ~ 206.

Google Scholar