Multi-objective optimization of the effects of superheat degree and blade pitch on the wet steam parameters

International Journal of Heat and Mass Transfer(2023)

引用 1|浏览9
暂无评分
摘要
•GA optimizes superheat degree & blade pitch for maximum efficiency.•WF, MO, PL, and EC are the objective functions in the turbine blade.•The modified model to keep the inlet mass flow rate fixed is studied.•With the inlet steam superheat degree increasing, the condensation process weakens.•Optimization results in reduced wetness fraction, droplet radius, and pressure loss.
更多
查看译文
关键词
wet steam parameters,blade pitch,superheat degree,optimization,multi-objective
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要