Simulation Analysis to Sand Blindness of Rotorcraft Blades Based on Coupled CFD-DEM Parallel Algorithm
In order to study the hovering flow field and sand dust movement law of a rotorcraft in ground effect(IGE) hovering due to sand dust inhalation, Fluent software was used to calculate the flow field continuously based on Reynolds averaged N-S equation and <i>k</i>-<i>ω</i>(SST...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Advances in Aeronautical Science and Engineering
2021-06-01
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| Series: | Hangkong gongcheng jinzhan |
| Subjects: | |
| Online Access: | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2020100?st=article_issue |
| _version_ | 1828035909131436032 |
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| author | WEN Tao CHENG Danggen |
| author_facet | WEN Tao CHENG Danggen |
| author_sort | WEN Tao |
| collection | DOAJ |
| description | In order to study the hovering flow field and sand dust movement law of a rotorcraft in ground effect(IGE) hovering due to sand dust inhalation, Fluent software was used to calculate the flow field continuously based on Reynolds averaged N-S equation and <i>k</i>-<i>ω</i>(SST) turbulence model, combined with the parallel algorithm of CFD(Computational Fluid Dynamics) and DEM(Discrete Element Method).Through API(Application Programming Interface), the hovering flow field of helicopter rotor is calculated and compared with the PIV(Particle Image Velocimetry) measurement results.After that, the momentum data of flow field is transmitted to discrete phase to calculate the complete trajectory and particle distribution of dust.The results show that:when the convection field is accurately simulated, the force movement and spatial distribution of sand dust particles are well simulated by using the discrete element method, which can understand the ground effect flow field and the force movement law of fine dust particles with multiparameters, and directly present the development process of sand blindness. |
| first_indexed | 2024-04-10T15:53:09Z |
| format | Article |
| id | doaj.art-bb11a0fa4a0e44719998f8fe310a138f |
| institution | Directory Open Access Journal |
| issn | 1674-8190 |
| language | zho |
| last_indexed | 2024-04-10T15:53:09Z |
| publishDate | 2021-06-01 |
| publisher | Editorial Department of Advances in Aeronautical Science and Engineering |
| record_format | Article |
| series | Hangkong gongcheng jinzhan |
| spelling | doaj.art-bb11a0fa4a0e44719998f8fe310a138f2023-02-11T02:44:04ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902021-06-01123717710.16615/j.cnki.1674-8190.2021.03.0920210309Simulation Analysis to Sand Blindness of Rotorcraft Blades Based on Coupled CFD-DEM Parallel AlgorithmWEN Tao0CHENG Danggen1Aviation Electromechanical Equipment Maintenance Department, Changsha Aeronautical Vocational and Technical College, Changsha 410124, ChinaAviation Electromechanical Equipment Maintenance Department, Changsha Aeronautical Vocational and Technical College, Changsha 410124, ChinaIn order to study the hovering flow field and sand dust movement law of a rotorcraft in ground effect(IGE) hovering due to sand dust inhalation, Fluent software was used to calculate the flow field continuously based on Reynolds averaged N-S equation and <i>k</i>-<i>ω</i>(SST) turbulence model, combined with the parallel algorithm of CFD(Computational Fluid Dynamics) and DEM(Discrete Element Method).Through API(Application Programming Interface), the hovering flow field of helicopter rotor is calculated and compared with the PIV(Particle Image Velocimetry) measurement results.After that, the momentum data of flow field is transmitted to discrete phase to calculate the complete trajectory and particle distribution of dust.The results show that:when the convection field is accurately simulated, the force movement and spatial distribution of sand dust particles are well simulated by using the discrete element method, which can understand the ground effect flow field and the force movement law of fine dust particles with multiparameters, and directly present the development process of sand blindness.http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2020100?st=article_issuesand blindnesstwo phase flowcoupling algorithmcfd-demrotor blade |
| spellingShingle | WEN Tao CHENG Danggen Simulation Analysis to Sand Blindness of Rotorcraft Blades Based on Coupled CFD-DEM Parallel Algorithm Hangkong gongcheng jinzhan sand blindness two phase flow coupling algorithm cfd-dem rotor blade |
| title | Simulation Analysis to Sand Blindness of Rotorcraft Blades Based on Coupled CFD-DEM Parallel Algorithm |
| title_full | Simulation Analysis to Sand Blindness of Rotorcraft Blades Based on Coupled CFD-DEM Parallel Algorithm |
| title_fullStr | Simulation Analysis to Sand Blindness of Rotorcraft Blades Based on Coupled CFD-DEM Parallel Algorithm |
| title_full_unstemmed | Simulation Analysis to Sand Blindness of Rotorcraft Blades Based on Coupled CFD-DEM Parallel Algorithm |
| title_short | Simulation Analysis to Sand Blindness of Rotorcraft Blades Based on Coupled CFD-DEM Parallel Algorithm |
| title_sort | simulation analysis to sand blindness of rotorcraft blades based on coupled cfd dem parallel algorithm |
| topic | sand blindness two phase flow coupling algorithm cfd-dem rotor blade |
| url | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2020100?st=article_issue |
| work_keys_str_mv | AT wentao simulationanalysistosandblindnessofrotorcraftbladesbasedoncoupledcfddemparallelalgorithm AT chengdanggen simulationanalysistosandblindnessofrotorcraftbladesbasedoncoupledcfddemparallelalgorithm |