喷射泵特征结构优化提高泵送性能的机理探讨与预测

Wanting Sun, Min Li, Yuewei Fan, Bo Zhu
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引用次数: 0

摘要

射流泵喉道特性参数设计不理想,导致泵送效率低,受到广泛关注。本文通过数值计算研究了喷射泵在不同特性参数下的抽运效率,确定了单个参数对抽运效率的影响。并通过XGBoost技术预测了参数的耦合影响。研究表明,射流泵抽运效率与多个特性参数之间的耦合关系预测精度可达98.83%。合理选择特征参数可使抽气效率提高23.6%。该研究将有助于设计人员通过数值计算和机器学习技术准确地寻找喷射泵参数的最佳耦合。
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Exploration of the mechanism and prediction of jet pump feature structure optimization for the enhanced pumping performance
It is widely concerned that the non-ideal design of characteristic parameters of throat pipe of jet pump leads to the low pumping efficiency. The paper studies the pumping efficiency of jet pump under different characteristic parameters through numerical calculation to determine the influences of single parameter on pumping efficiency. And the coupling influences of parameters are predicted through XGBoost technology. The research shows that the coupling relation between the pumping efficiency of jet pump and multiple characteristic parameters can be predicted with the accuracy of 98.83%. The reasonable choice of characteristic parameters can improve pumping efficiency by 23.6%. The research will help designers to look for the best coupling of jet pump parameters accurately through numerical calculation and machine learning technologies.
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来源期刊
CiteScore
3.30
自引率
5.90%
发文量
114
审稿时长
5.4 months
期刊介绍: The Journal of Power and Energy, Part A of the Proceedings of the Institution of Mechanical Engineers, is dedicated to publishing peer-reviewed papers of high scientific quality on all aspects of the technology of energy conversion systems.
期刊最新文献
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