The scientific and effective control of steam wetness in steam turbines is of great significance for improving power generation efficiency. Based on the research status of wet steam, the influence of different surface heating intensity in a stator cascade was studied. The distribution of condensation flow parameters in White cascade under 0–700 kW/m² surface heating intensity is calculated. On this basis, the positive heating intensity region was determined and refined to obtain the best heating condition with higher accuracy. The results show that the condensation is restrained and the outlet wetness is decreased as the blade surface heating intensity increases. The steam wetness and droplet diameter in the flow field can be controlled by adding heating intensity. Additionally, at the initial stage of applying heat to the blade, an increasing enthalpy drop occurs, and the entropy increase experiences a decline, while negative effects rapidly emerge if the heating intensity is too high. The optimum heating intensity is 120 kW/m². Compared with the 0 kW/m², the average outlet wetness, total pressure loss coefficient and entropy increase of 120 kW/m² surface heating intensity can be reduced by 1.1266%, 15.5% and 1.7%, respectively, and the enthalpy drop can be increased by 1.7%.

科学有效地控制汽轮机中的蒸汽湿度对提高发电效率具有重要意义。根据湿蒸汽的研究现状，研究了不同表面加热强度对定子叶栅的影响。白色级联中0–700 kW / m ²下凝结水参数的分布计算表面加热强度。在此基础上，确定并细化正加热强度区域，从而以更高的精度获得最佳加热条件。结果表明，随着叶片表面加热强度的增加，凝结得到抑制，出口湿度降低。可以通过增加加热强度来控制流场中的蒸汽湿度和液滴直径。另外，在向叶片施加热量的初始阶段，焓的增加会发生，并且熵的增加会下降，而如果加热强度过高，则会迅速出现负面影响。最佳加热强度为120 kW / m ²。与0 kW / m ^2相比，平均出水湿度，总压力损失系数和120 kW / m ²表面加热强度的熵增加分别可以降低1.1266％，15.5％和1.7％，焓降可以提高1.7％。