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Engineering Applications of Computational Fluid Mechanics最新文献

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A CFD and thermal-electric coupled analysis of a kW-level automobile thermoelectric generator for automotive exhaust recovery 用于汽车尾气回收的kw级汽车热电发电机CFD与热电耦合分析
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-13 DOI: 10.1080/19942060.2025.2569648
Ding Luo, Zhenhua Ji, Hao Chen, Limin Geng, Peng Zhang, Wenbo Zhang
{"title":"A CFD and thermal-electric coupled analysis of a kW-level automobile thermoelectric generator for automotive exhaust recovery","authors":"Ding Luo, Zhenhua Ji, Hao Chen, Limin Geng, Peng Zhang, Wenbo Zhang","doi":"10.1080/19942060.2025.2569648","DOIUrl":"https://doi.org/10.1080/19942060.2025.2569648","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"12 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145282789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Rortex-based method for evaluating hydraulic losses in pump-turbines: a case study of turbine mode under different load conditions 一种基于旋涡的水轮机水力损失评估方法——以不同负荷条件下水轮机模式为例
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-10 DOI: 10.1080/19942060.2025.2568095
Lianchen Xu, Yuquan Zhang, Junhui Xu, Xiaotong Yan, Jianjun Feng, Chen Feng, Chengyi Li, Yuan Zheng
{"title":"A Rortex-based method for evaluating hydraulic losses in pump-turbines: a case study of turbine mode under different load conditions","authors":"Lianchen Xu, Yuquan Zhang, Junhui Xu, Xiaotong Yan, Jianjun Feng, Chen Feng, Chengyi Li, Yuan Zheng","doi":"10.1080/19942060.2025.2568095","DOIUrl":"https://doi.org/10.1080/19942060.2025.2568095","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"2 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145255101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved data-driven surrogate models by incorporating variable sensitivity for aerodynamic data modeling 改进了数据驱动代理模型，纳入了气动数据建模的可变灵敏度
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-09 DOI: 10.1080/19942060.2025.2564830
Chenzhou Xu, Yunjie Yang, Minchi Kuang, Xing Zhuang, Hongjiang Guo, Zhonghua Han, Ligan Jia, Jihong Zhu
{"title":"Improved data-driven surrogate models by incorporating variable sensitivity for aerodynamic data modeling","authors":"Chenzhou Xu, Yunjie Yang, Minchi Kuang, Xing Zhuang, Hongjiang Guo, Zhonghua Han, Ligan Jia, Jihong Zhu","doi":"10.1080/19942060.2025.2564830","DOIUrl":"https://doi.org/10.1080/19942060.2025.2564830","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"19 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145247625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hydrodynamic characteristics and performance of the 3-DoF three-phase motion of hydrofoil inspired by sea lion foreflipper 海狮前鳍型水翼三自由度三相运动特性及性能研究
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-09 DOI: 10.1080/19942060.2025.2562106
Yanwen Xue, Zhenji Yu, Yuhong Liu, Baoqing Wang, Jinyang Du, Huan Bai
{"title":"Hydrodynamic characteristics and performance of the 3-DoF three-phase motion of hydrofoil inspired by sea lion foreflipper","authors":"Yanwen Xue, Zhenji Yu, Yuhong Liu, Baoqing Wang, Jinyang Du, Huan Bai","doi":"10.1080/19942060.2025.2562106","DOIUrl":"https://doi.org/10.1080/19942060.2025.2562106","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"22 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145247552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimised heat exchange in a magnetised nanofluid-filled cavity using hybrid deep neural network and metaheuristic algorithms 利用混合深度神经网络和元启发式算法优化磁化纳米流体填充腔内的热交换
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-09 DOI: 10.1080/19942060.2025.2565795
Razik Benderradji, Aissa Laouissi, Yacine Karmi, Hammoudi Abderazek, Yazid Chetbani, Ahmed Belaadi, Herbert Mukalazi, Djamel Ghernaout, Ali J. Chamkha
{"title":"Optimised heat exchange in a magnetised nanofluid-filled cavity using hybrid deep neural network and metaheuristic algorithms","authors":"Razik Benderradji, Aissa Laouissi, Yacine Karmi, Hammoudi Abderazek, Yazid Chetbani, Ahmed Belaadi, Herbert Mukalazi, Djamel Ghernaout, Ali J. Chamkha","doi":"10.1080/19942060.2025.2565795","DOIUrl":"https://doi.org/10.1080/19942060.2025.2565795","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"2 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145247626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing ship hydrodynamic performance via machine learning-driven CFD parametric optimization 基于机器学习的CFD参数优化提高船舶水动力性能
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-07 DOI: 10.1080/19942060.2025.2565801
Jie Liu, Li-fen Hu, Bao-ji Zhang, Ke-zheng Zhang, Jun-ying Bi, Qin-yue Zheng
{"title":"Enhancing ship hydrodynamic performance via machine learning-driven CFD parametric optimization","authors":"Jie Liu, Li-fen Hu, Bao-ji Zhang, Ke-zheng Zhang, Jun-ying Bi, Qin-yue Zheng","doi":"10.1080/19942060.2025.2565801","DOIUrl":"https://doi.org/10.1080/19942060.2025.2565801","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"123 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145235227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Physics informed neural networks based identification modelling of ship maneuvering motion and associated optimal excitation design 基于物理信息神经网络的船舶操纵运动识别建模及其最优激励设计
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-07 DOI: 10.1080/19942060.2025.2566860
Guangshuo An, Gong Xiang, Xianbo Xiang, C. Guedes Soares
{"title":"Physics informed neural networks based identification modelling of ship maneuvering motion and associated optimal excitation design","authors":"Guangshuo An, Gong Xiang, Xianbo Xiang, C. Guedes Soares","doi":"10.1080/19942060.2025.2566860","DOIUrl":"https://doi.org/10.1080/19942060.2025.2566860","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"1 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145235133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of streaming effects in stirling-type inertance pulse tube cryocoolers using computational fluid dynamics 用计算流体力学方法分析斯特林型惯性脉冲管制冷机的流场效应
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-07 DOI: 10.1080/19942060.2025.2565796
Rajendra Kumar, Jan G. Korvink, Jürgen J. Brandner
{"title":"Analysis of streaming effects in stirling-type inertance pulse tube cryocoolers using computational fluid dynamics","authors":"Rajendra Kumar, Jan G. Korvink, Jürgen J. Brandner","doi":"10.1080/19942060.2025.2565796","DOIUrl":"https://doi.org/10.1080/19942060.2025.2565796","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"56 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145241479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Computational fluid dynamics investigation of gas–liquid two-phase flow in aerated stirred reactors 加气搅拌反应器中气液两相流动的计算流体力学研究
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-06 DOI: 10.1080/19942060.2025.2563081
Shaoqi Yu, Binxin Wu, Chun Wei
{"title":"Computational fluid dynamics investigation of gas–liquid two-phase flow in aerated stirred reactors","authors":"Shaoqi Yu, Binxin Wu, Chun Wei","doi":"10.1080/19942060.2025.2563081","DOIUrl":"https://doi.org/10.1080/19942060.2025.2563081","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"115 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145235135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resolving the spatiotemporal distribution of substances in fluids using a deep learning method 利用深度学习方法求解流体中物质的时空分布
IF 6.1 1区 工程技术
Engineering Applications of Computational Fluid Mechanics Pub Date : 2025-10-04 DOI: 10.1080/19942060.2025.2564761
Zaiyang Zhou, Yu Kuai, Kailin Huang, Dirk Sebastiaan van Maren, Jialin Pang, Zhenwu Wang, Yonghui Zhu, Jianzhong Ge
{"title":"Resolving the spatiotemporal distribution of substances in fluids using a deep learning method","authors":"Zaiyang Zhou, Yu Kuai, Kailin Huang, Dirk Sebastiaan van Maren, Jialin Pang, Zhenwu Wang, Yonghui Zhu, Jianzhong Ge","doi":"10.1080/19942060.2025.2564761","DOIUrl":"https://doi.org/10.1080/19942060.2025.2564761","url":null,"abstract":"","PeriodicalId":50524,"journal":{"name":"Engineering Applications of Computational Fluid Mechanics","volume":"78 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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