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参数设计和多重目标智能优化在可变条件下的海洋核轮机空气热力学
Lei Zhang1, Guobing Chen2, Yu-Ang Shi3
1Power Engineering College, Naval University of Engineering, WuHan, 430033, People's Republic of China. lzhang_magic@163.com.
Scientific reports
|July 10, 2025
概括
这项研究优化了蒸汽轮机叶片设计,以提高效率和安全性. 这种新的方法通过降低排气湿度和提高海洋核轮机的异热效率来提高性能.
科学领域:
- 航空热力学是空气热力学.
- 轮机的机械设备
- 计算流体动力学的流体动力学.
背景情况:
- 海上核动力轮机需要提高空气热力学性能和控制排气湿度,以提高效率和安全性.
- 现有的方法可能无法在各种操作条件下充分解决多目标优化.
研究的目的:
- 开发和验证一种用于优化蒸汽轮机叶片配置的新方法.
- 为了提高海上核动力轮机的气热力学性能和控制排气湿度.
- 为了提高轮机的整体运行效率,输出功率和安全.
主要方法:
- 使用第三阶贝济耶曲线进行蒸汽轮机叶片配置的参数化重建.
- 整合Kriging近似模型与多目标遗传算法 (GA).
- 在平面和3D布的多个操作条件下对布核心热参数的优化.
主要成果:
- 优化的轮级联显示出出口湿度下降6.1-8.9%,最大液滴直径下降11.4-15.8%.
- 在各种操作条件下,热效率增加了0.6-0.9%.
- 观察到热力学参数的均分布和在过载条件下显著改善.
结论:
- 拟议的方法有效地实现了湿蒸汽轮机叶片的多条件,多约束热力学性能设计优化.
- 该方法为智能设计优化和湿蒸汽轮机级联运行提供了洞察力.
- 在可变的操作条件下证明了增强的中热效率和阶段功率.
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