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Influence of ground effect on flow field structure and aerodynamic noise of high-speed trains

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2024年第2期25卷 147-160页

作者： Xiaoming TAN Linli GONG Xiaohong ZHANG Zhigang YANG key laboratory of intelligent manufacturing and service performance optimization of laser and grinding in mechanical industry Hunan Institute of Science and TechnologyYueyang414000China key laboratory of Traffic Safety on Track(Central South University) Ministry of EducationSchool of Traffic&Transportation EngineeringCentral South UniversityChangsha410075China

The simulation of the ground effect has always been a technical difficulty in wind tunnel tests of high-speed *** this paper,large eddy simulation and the curl acoustic integral equation were used to simulate the flow-acoustic field results of high-speed trains under four ground simulation systems(GSSs):“moving ground+rotating wheel”,“stationary ground+rotating wheel”,“moving ground+stationary wheel”,and“stationary ground+stationary wheel”.By comparing the fluid-acoustic field results of the four GSSs,the influence laws of different GSSs on the flow field structure,aero-acoustic source,and far-field radiation noise characteristics were investigated,providing guidance for the acoustic wind tunnel testing of high-speed *** calculation results of the aerodynamic noise of a 350 km/h high-speed train show that the moving ground and rotating wheel affect mainly the aero-acoustic performance under the train *** influence of the rotating wheel on the equivalent sound source power of the whole vehicle was not more than 5%,but that of the moving ground slip was more than 15%.The average influence of the rotating wheel on the sound pressure level radiated by the whole vehicle was 0.3 dBA,while that of the moving ground was 1.8 dBA.

关键词： High-speed train Aero-acoustics Flow field structure Large eddy simulation Moving ground condition Rotating wheel

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Recent innovations in laser additive manufacturing of titanium alloys

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International Journal of Extreme manufacturing 2024年第3期6卷 2-37页

作者： Jinlong Su Fulin Jiang Jie Teng Lequn Chen Ming Yan Guillermo Requena Lai-Chang Zhang Y Morris Wang Ilya V Okulov Hongmei Zhu Chaolin Tan College of Materials Science and Engineering Hunan UniversityChangsha 410082People’s Republic of China Singapore Institute of manufacturing Technology(SIM Tech) Agency for ScienceTechnology and Research(A∗STAR)5 Cleantech LoopSingapore 636732Singapore Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055People’s Republic of China Institute of Materials Research German Aerospace Center(DLR)Linder Höhe51147 CologneGermany Centre for Advanced Materials and manufacturing Edith Cowan University270 Joondalup DriveJoondalupPerthWestern Australia 6027Australia Department of Materials Science and Engineering University of CaliforniaLos AngelesCA 900095United States of America Leibniz Institute for Materials Engineering-IWT Badgasteiner Str.328359 BremenGermany Faculty of Production Engineering University of BremenBadgasteiner Str.128359 BremenGermany key laboratory of Hunan Province of Equipment Safety service Technology under Extreme Environment University of South ChinaHengyangPeople’s Republic of China RWTH Aachen University Metallic Structures and Materials Systems for Aerospace EngineeringD-52062 AachenGermany

Titanium(Ti)alloys are widely used in high-tech fields like aerospace and biomedical *** additive manufacturing(LAM),as an innovative technology,is the key driver for the development of Ti *** the significant advancements in LAM of Ti alloys,there remain challenges that need further research and development *** recap the potential of LAM high-performance Ti alloy,this article systematically reviews LAM Ti alloys with up-to-date information on process,materials,and *** feasible solutions to advance LAM Ti alloys are reviewed,including intelligent process parameters optimization,LAM process innovation with auxiliary fields and novel Ti alloys customization for *** auxiliary energy fields(***,acoustic,mechanical deformation and magnetic fields)can affect the melt pool dynamics and solidification behaviour during LAM of Ti alloys,altering microstructures and mechanical *** kinds of novel Ti alloys customized for LAM,like peritecticα-Ti,eutectoid(α+β)-Ti,hybrid(α+β)-Ti,isomorphousβ-Ti and eutecticβ-Ti alloys are reviewed in ***,machine learning in accelerating the LAM process optimization and new materials development is also *** review summarizes the material properties and performance envelops and benchmarks the research achievements in LAM of Ti *** addition,the perspectives and further trends in LAM of Ti alloys are also highlighted.

关键词： additive manufacturing titanium alloys auxiliary field machine learning aerospace materials lightweight materials novel alloys

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key Technologies and Development Trends in Advanced intelligent Sawing Equipments

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Chinese Journal of mechanical Engineering 2021年第3期34卷 175-194页

作者： Yangyu Wang Yongle Zhang Dapeng Tan Yongchao Zhang College of mechanical Engineering Zhejiang University of TechnologyHangzhou 310023China key laboratory of Special Purpose Equipment and Advanced Processing Technology Ministry of Education and Zhejiang ProvinceZhejiang University of TechnologyHangzhou 310023China Collaborative Innovation Center of High-end laser manufacturing Equipment(National“2011 Plan”) Zhejiang University of TechnologyHangzhou 310023China School of Aeronautical Engineering Taizhou UniversityTaizhou 318000China.

As a starting point in equipment manufacturing,sawing plays an important role in industrial *** manufacturing equipment is an important carrier of intelligent manufacturing *** to the backwardness of intelligent technology,the comprehensive performance of sawing equipments in China is obviously different from that in foreign *** of the art of advanced sawing equipments is investigated along with the technical bottleneck of sawing machine tool manufacturing,and a new industrial scheme of replacing turning-milling by sawing is *** key technologies of processing-measuring integrated control,multi-body dynamic optimization,the collaborative sawing network framework,the distributed cloud sawing platform,and the self-adapting service method are analyzed;with consideration of the problems of poor processing control stableness,low single machine intelligence level,no on-line processing data service and active flutter suppression of sawing with wide-width and heavy-load working *** directions for further research,industry implementation,and industry-research collaboration are provided.

关键词： Sawing equipments Processing-measuring integrated control Collaborative sawing framework intelligent network middleware Sawing cloud service platform

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