化工进展2018，Vol.37Issue(2)：437-443,7.DOI:10.16085/j.issn.1000-6613.2017-1765
基于群体平衡的汽轮机动叶表面盐析颗粒分布特性
Distribution characteristics of salting-out particles on the surface of steam rotor blade based on population balance model(PBM)
摘要
Abstract
In order to get a better understanding of microscopic behavior of salting-out particles in a steam turbine,a high-pressure grade rotor blade was employed in a supercritical steam turbine as a research object and the distribution of salting-out particles in the flow field from a steam turbine rotor blade was simulated using CFD-PBM method.The diameter distribution of salting-out particles in a rotor blade and the number density distribution of salting-out particles in the tailed-edge area of rotor blade with different load situations were obtained.The simulation results showed that the salting-out particle diameter near the suction side was smaller than that near the pressure side in a steam turbine rotor blade,and the salting-out particle diameter at the blade bottom was smaller than that at the blade tip.The particle number density distribution law at the pressure side of rotor blade was presented that the particle number density was larger both at the leading edge and at the tailed-edge of rotor blade while the particle number density was smaller in the middle parts of rotor blade,and the maximum value of salting-out particle number density distribution did not appear in the position having the maximum component number and particle diameter in the rotor blade,but it appeared in the position where salting-out particles with the average diameter 110—150μm deposit.When steam turbine was under 30% load operation,the number density of salting-out particles with 40μm diameter was 1.5 times than the situation when steam turbine was under rated load operation,while the number density of salting-out particles with 140μm diameter was only 80% of the situation when steam turbine was under rated load operation.关键词
汽轮机动叶/盐析颗粒/群体平衡模型/两相流Key words
steam turbine rotor blade/salting-out particles/population balance model/two-phase flow分类
能源科技引用本文复制引用
胡鹏飞,李勇,曹丽华,吴雪菲..基于群体平衡的汽轮机动叶表面盐析颗粒分布特性[J].化工进展,2018,37(2):437-443,7.基金项目
国家自然科学基金(51376041)及国家重点研发计划(2017YFB0902102)项目. （51376041）
