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The simulation of particle mass concentration distribution in the vehicle operation room and the parameter optimization
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Science & Technology Review | 2019, 37(20) : 94 - 100
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Science & Technology Review | 2019, 37(20): 94-100
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The simulation of particle mass concentration distribution in the vehicle operation room and the parameter optimization
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YU Huiping1, CAI Anwen1, PI Bensong1, LONG Lianchun1, LI Zhaohui2
Affiliations
    1. College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100024, China;
    2. Beijing Xinli Machinery Co., Ltd., Beijing 100039, China
Published: 2019-10-28 doi: 10.3981/j.issn.1000-7857.2019.20.010
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In order to effectively reduce the mass concentration of the particles and improve the air cleanliness level in the operating clean room in the expandable shelter vehicle, the diffusion particles in an non-unidirectional flow clean operating room are analyzed. The minimum mass concentration of the particles in the working plane is set as the goal, and the optimization model is established with the average wind speed of the working plane, as the constraint condition. The sequential response surface method is used to optimize the velocity and the angle of supplying the air. It is shown that when the outlet of the operating room is arranged symmetrically on the long side wall, the flow of the indoor air could be well activated to reduce the mass concentration of the particle. In the non-unidirectional flow operating room, the mass concentration of the particles is mainly affected by the flow of the air. When the dominant diffusion direction of the particles is changed to the downwind, the mass concentration of the particles in the main flow area is relatively low and the mass concentration of the particles in the surrounding area, around the area of the medical staff and the wall of the operating room, may be larger. With the velocity and the angle of supplying the air optimized by the response surface method, the mass concentration of the particles could be reduced by 78.19% to make the air quality of the operating room reach the clean standard. Also, this optimized method helps the ventilation design of the vehicle operating room.
response surface method  /  clean operating room  /  particle mass concentration  /  speed of supply air  /  angle of supply air  /  parameters optimization
宇慧平, 蔡安文, 皮本松, 龙连春, 李朝辉. 车载方舱手术室颗粒物质量浓度分布仿真与参数优化. 科技导报, 2019 , 37 (20) : 94 -100 . DOI: 10.3981/j.issn.1000-7857.2019.20.010
YU Huiping, CAI Anwen, PI Bensong, LONG Lianchun, LI Zhaohui. The simulation of particle mass concentration distribution in the vehicle operation room and the parameter optimization[J]. Science & Technology Review, 2019 , 37 (20) : 94 -100 . DOI: 10.3981/j.issn.1000-7857.2019.20.010
Year 2019 volume 37 Issue 20
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doi: 10.3981/j.issn.1000-7857.2019.20.010
  • Receive Date:2018-11-10
  • Online Date:2019-11-06
  • Published:2019-10-28
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  • Received:2018-11-10
  • Revised:2019-08-27
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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