基于 PSO-LSSVR 代理模型的 LNG 多级离心泵性能预测与优化策略

IF 1.8 3区 工程技术 Q3 PHYSICS, APPLIED
Bo Liu , Wei Zhang , Feng Chen , Jie Cai , XunMing Wang , Yi Liu , JinLing Zhang , Qian Wang
{"title":"基于 PSO-LSSVR 代理模型的 LNG 多级离心泵性能预测与优化策略","authors":"Bo Liu ,&nbsp;Wei Zhang ,&nbsp;Feng Chen ,&nbsp;Jie Cai ,&nbsp;XunMing Wang ,&nbsp;Yi Liu ,&nbsp;JinLing Zhang ,&nbsp;Qian Wang","doi":"10.1016/j.cryogenics.2024.103856","DOIUrl":null,"url":null,"abstract":"<div><p>The Multistage LNG cryogenic submersible pump is one of the crucial power equipment in LNG transport process. However, the high hydraulic losses and low efficiency of this pump make it necessary to optimize the structure of its impeller in order to reduce energy losses. In this study, an optimization strategy based on particle swarm optimization (PSO) and least squares support vector regression (LSSVR) machine is proposed to optimize the structure of impeller. The optimization of the impeller structure with the PSO-LSSVR method increased the head and efficiency of the LNG cryogenic submersible pump by 0.57% and 2.72%, respectively. Comparing the calculation results of PSO-LSSVR method with the CFD results, we found that the relative error between them don’t exceed 3%, which verified the calculation accuracy of the method. Then, an enstrophy dissipation theory is introduced to quantitatively analyze the pump energy loss. Comparing the impellers before and after optimization revealed that the maximum reduction in impeller energy loss was 18%.. The distribution and mechanism of vortex generation inside the impeller were analyzed with the Q-criterion and the relative vortex transport equation. The relative vortex transport equation revealed that the horseshoe vortex structure at the leading edge of the optimized impeller blade was suppressed, and the relative vortex stretching term and the Coriolis force term, which dominate the evolution of the vortex structure, were reduced. This study will provide related reference for the optimal design of Multistage LNG cryogenic submersible pumps.</p></div>","PeriodicalId":10812,"journal":{"name":"Cryogenics","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0011227524000766/pdfft?md5=2152cc66659680421792bdbbee931fe8&pid=1-s2.0-S0011227524000766-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Performance prediction and optimization strategy for LNG multistage centrifugal pump based on PSO-LSSVR surrogate model\",\"authors\":\"Bo Liu ,&nbsp;Wei Zhang ,&nbsp;Feng Chen ,&nbsp;Jie Cai ,&nbsp;XunMing Wang ,&nbsp;Yi Liu ,&nbsp;JinLing Zhang ,&nbsp;Qian Wang\",\"doi\":\"10.1016/j.cryogenics.2024.103856\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The Multistage LNG cryogenic submersible pump is one of the crucial power equipment in LNG transport process. However, the high hydraulic losses and low efficiency of this pump make it necessary to optimize the structure of its impeller in order to reduce energy losses. In this study, an optimization strategy based on particle swarm optimization (PSO) and least squares support vector regression (LSSVR) machine is proposed to optimize the structure of impeller. The optimization of the impeller structure with the PSO-LSSVR method increased the head and efficiency of the LNG cryogenic submersible pump by 0.57% and 2.72%, respectively. Comparing the calculation results of PSO-LSSVR method with the CFD results, we found that the relative error between them don’t exceed 3%, which verified the calculation accuracy of the method. Then, an enstrophy dissipation theory is introduced to quantitatively analyze the pump energy loss. Comparing the impellers before and after optimization revealed that the maximum reduction in impeller energy loss was 18%.. The distribution and mechanism of vortex generation inside the impeller were analyzed with the Q-criterion and the relative vortex transport equation. The relative vortex transport equation revealed that the horseshoe vortex structure at the leading edge of the optimized impeller blade was suppressed, and the relative vortex stretching term and the Coriolis force term, which dominate the evolution of the vortex structure, were reduced. This study will provide related reference for the optimal design of Multistage LNG cryogenic submersible pumps.</p></div>\",\"PeriodicalId\":10812,\"journal\":{\"name\":\"Cryogenics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0011227524000766/pdfft?md5=2152cc66659680421792bdbbee931fe8&pid=1-s2.0-S0011227524000766-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cryogenics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0011227524000766\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHYSICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cryogenics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0011227524000766","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

多级 LNG 低温潜水泵是 LNG 运输过程中的关键动力设备之一。然而,该泵水力损失大、效率低,因此有必要对其叶轮结构进行优化,以减少能量损失。本研究提出了一种基于粒子群优化(PSO)和最小二乘支持向量回归(LSSVR)机器的优化策略来优化叶轮结构。采用 PSO-LSSVR 方法优化叶轮结构后,LNG 低温潜水泵的扬程和效率分别提高了 0.57% 和 2.72%。将 PSO-LSSVR 方法的计算结果与 CFD 结果进行比较,发现两者之间的相对误差不超过 3%,验证了该方法的计算精度。然后,引入能量耗散理论对泵的能量损失进行定量分析。对比优化前后的叶轮发现,叶轮能量损失最大降低了 18%。利用 Q 准则和相对涡流输送方程分析了叶轮内部涡流的分布和产生机理。相对涡流输运方程显示,优化后叶轮叶片前缘的马蹄形涡流结构被抑制,主导涡流结构演变的相对涡流拉伸项和科里奥利力项减小。该研究将为多级 LNG 低温潜水泵的优化设计提供相关参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance prediction and optimization strategy for LNG multistage centrifugal pump based on PSO-LSSVR surrogate model

The Multistage LNG cryogenic submersible pump is one of the crucial power equipment in LNG transport process. However, the high hydraulic losses and low efficiency of this pump make it necessary to optimize the structure of its impeller in order to reduce energy losses. In this study, an optimization strategy based on particle swarm optimization (PSO) and least squares support vector regression (LSSVR) machine is proposed to optimize the structure of impeller. The optimization of the impeller structure with the PSO-LSSVR method increased the head and efficiency of the LNG cryogenic submersible pump by 0.57% and 2.72%, respectively. Comparing the calculation results of PSO-LSSVR method with the CFD results, we found that the relative error between them don’t exceed 3%, which verified the calculation accuracy of the method. Then, an enstrophy dissipation theory is introduced to quantitatively analyze the pump energy loss. Comparing the impellers before and after optimization revealed that the maximum reduction in impeller energy loss was 18%.. The distribution and mechanism of vortex generation inside the impeller were analyzed with the Q-criterion and the relative vortex transport equation. The relative vortex transport equation revealed that the horseshoe vortex structure at the leading edge of the optimized impeller blade was suppressed, and the relative vortex stretching term and the Coriolis force term, which dominate the evolution of the vortex structure, were reduced. This study will provide related reference for the optimal design of Multistage LNG cryogenic submersible pumps.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cryogenics
Cryogenics 物理-热力学
CiteScore
3.80
自引率
9.50%
发文量
0
审稿时长
2.1 months
期刊介绍: Cryogenics is the world''s leading journal focusing on all aspects of cryoengineering and cryogenics. Papers published in Cryogenics cover a wide variety of subjects in low temperature engineering and research. Among the areas covered are: - Applications of superconductivity: magnets, electronics, devices - Superconductors and their properties - Properties of materials: metals, alloys, composites, polymers, insulations - New applications of cryogenic technology to processes, devices, machinery - Refrigeration and liquefaction technology - Thermodynamics - Fluid properties and fluid mechanics - Heat transfer - Thermometry and measurement science - Cryogenics in medicine - Cryoelectronics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信