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Distribution characteristics of salt-out particles in steam turbine stage

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  • Hu, Pengfei
  • Cao, Lihua
  • Su, Jingkai
  • Li, Qi
  • Li, Yong

Abstract

Exploring the distribution characteristics of salt-out particles on the blade surface is one of the most urgent problems for supercritical steam turbine. To obtain more practical distribution characteristics of salt-out particles in the steam turbine stage, the population balance model is loaded based on Eulerian multiphase model to simulate the real existed microscopic behaviors of salt-out particles such as nucleation, growth, aggregation and breakage. The results show that along the axial direction the number of salt-out particles gradually decreases and a ladder-like distribution is observed both on the stator and rotor blades. For the stator blade, a critical position which is 62.9% of the axial chord length occurs before which the diameter of salt-out particles on the pressure surface is greater than that on the suction surface, while after that the situation is opposite; for the rotor blade, a different critical position which is 81.1% of the axial chord length occurs. Along the axial direction the volume fraction of particles declines in the entrance area, fluctuates in the middle area on the stator blade, and on the pressure surface of rotor blade, a peak position of the volume fraction is consistent with the maximum turbulence intensity and particle diameter.

Suggested Citation

  • Hu, Pengfei & Cao, Lihua & Su, Jingkai & Li, Qi & Li, Yong, 2020. "Distribution characteristics of salt-out particles in steam turbine stage," Energy, Elsevier, vol. 192(C).
  • Handle: RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323217
    DOI: 10.1016/j.energy.2019.116626
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    References listed on IDEAS

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    1. Padhy, M.K. & Saini, R.P., 2012. "Study of silt erosion mechanism in Pelton turbine buckets," Energy, Elsevier, vol. 39(1), pages 286-293.
    2. Cai, Liu-xi & Wang, Shun-sen & Mao, Jing-ru & Di, Juan & Feng, Zhen-ping, 2015. "The influence of nozzle chamber structure and partial-arc admission on the erosion characteristics of solid particles in the control stage of a supercritical steam turbine," Energy, Elsevier, vol. 82(C), pages 341-352.
    3. Zhou, Hong & Chen, Cheng & Lai, Jingang & Lu, Xiaoqing & Deng, Qijun & Gao, Xingran & Lei, Zhongcheng, 2018. "Affine nonlinear control for an ultra-supercritical coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 153(C), pages 638-649.
    4. Salahshoor, Karim & Kordestani, Mojtaba & Khoshro, Majid S., 2010. "Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers," Energy, Elsevier, vol. 35(12), pages 5472-5482.
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