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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:美国普渡大学
学位:博士
所在单位:土木工程系
学科:供热、供燃气、通风及空调工程
办公地点:综合实验四号楼425-1室
联系方式:0411-84706279
电子邮箱:tzhang@dlut.edu.cn
Various air distribution modes on commercial airplanes-Part 2: Computational fluid dynamics modeling and validation
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论文类型:期刊论文
发表时间:2013-07-04
发表刊物:HVAC&R RESEARCH
收录刊物:SCIE、EI、Scopus
卷号:19
期号:5
页面范围:457-470
ISSN号:1078-9669
摘要:Both experimental test and numerical modeling can be used to investigate air distribution on commercial airplanes. Numerical modeling by computational fluid dynamics has gained popularity; however, current computational fluid dynamics modeling efforts are concentrated primarily on the mixing-air distribution mode. To fully evaluate computational fluid dynamics modeling for different air distribution modes, the flow, heat transfer, and pollutant species transport in a twin-aisle aircraft cabin mockup is modeled. Three air distribution modes, namely the mixing, under-aisle displacement, and personal air distribution modes, are studied. The steady renormalization group k-E model together with the standard wall function has been employed for turbulence modeling and the near-wall treatment. The experimental data in terms of the velocity field, temperature, and CO2 concentration profiles are applied to validate the numerical models. This study finds that the renormalization group k-E model is able to solve major air distribution parameters in reasonable agreement with the measured values. When carrying out the steady computational modeling by resolving the Reynolds-averaged Navier-Stokes equations, it should be noted that the models may underestimate the turbulent mixing effect.