ORCID Profile
0000-0001-7060-6663
Current Organisation
Tianjin University
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Publisher: Springer Science and Business Media LLC
Date: 03-2016
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 03-2018
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 02-2022
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 04-2021
Publisher: Elsevier BV
Date: 12-2015
Publisher: SAGE Publications
Date: 11-01-2017
Abstract: Computational fluid dynamics (CFD) is an important and effective tool to study the airflow field and contaminant distribution in aircraft cabins. The accuracy of numerical simulation using the CFD approach could be significantly affected by configurations of the inlet boundary conditions, turbulence model, etc. The core of this study was to assess whether conclusions achieved in simulation of airflow on usual surfaces in buildings like in commercial offices could be applicable to aircraft cabins. Comparative studies involving turbulence models or air supply opening models in aircraft cabin environment are still absent in the literature. Therefore, in this study, two turbulence models (the renormalization group (RNG) k-ɛ model and Reynolds-stress model) and three types of air supply opening models (simple open model, basic model and momentum model) were applied to simulate the airflow and contaminant concentration fields in a mockup seven-row cabin section. Our simulation results were compared with the experimental data. Six indexes based on different criteria were used to quantitatively evaluate the agreement between measurements and modelled results given by turbulence models and air supply opening models. The results show that the RNG k-ɛ and RSM turbulence models have similar accuracy in airflow and contaminant fields in the mockup cabin, and the momentum model has the best accuracy among the three air supply opening models for the aircraft cabin environment.
Publisher: Elsevier BV
Date: 04-2016
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 07-2022
Publisher: Elsevier BV
Date: 12-2014
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 07-2020
Publisher: Informa UK Limited
Date: 03-12-2020
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 06-2018
Publisher: MDPI AG
Date: 12-12-2021
Abstract: The SARS-CoV virus spreads in the atmosphere mainly in the form of aerosols. Particle air filters are widely used in indoor heating, ventilation, and air-conditioning (HVAC) systems and filtration equipment to reduce aerosol concentration and improve indoor air quality. Requirements arise to rate filters according to their mass-based filtration efficiency. The size distribution of test aerosol greatly affects the measurement results of mass-based filtration efficiency and dust loading of filters, as well as the calibration of optical instruments for fine-particle (PM2.5) mass concentration measurement. The main objective of this study was to find a new method to generate a chemically nontoxic aerosol with a similar particle size distribution to atmospheric aerosol. We measured the size distribution of aerosols generated by DEHS (di-ethyl-hexyl-sebacate), PSL (poly-styrene latex), olive oil, and 20% sucrose solution with a collision nebulizer in a wide range of 15 nm–20 μm. In idually, none of the solutions generated particles that share a similar size distribution to atmospheric aerosol. We found that the 20% sucrose solution + olive oil mixture solution (Vss:Voo = 1:2) could be used to generate a chemically nontoxic aerosol with similar particle number/volume size distribution to the atmospheric aerosol (t-test, p 0.05). The differences in the mass-base filtration efficiency measured by the generated aerosol and the atmospheric aerosol were smaller than 2% for MERV 7, 10, 13, and 16 rated filters. The aerosol generated by the new method also performed well in the calibration of optical-principle-based PM2.5 concentration measurement instruments. The average relative difference measured by a tapered element oscillating microbalance (TEOM) and a Dusttrak Model 8530 (calibrated by aerosol generated by the new method) was smaller than 5.8% in the real-situation measurement.
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 11-2017
Publisher: Springer Science and Business Media LLC
Date: 03-11-2016
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 2022
Publisher: Springer Science and Business Media LLC
Date: 13-02-2020
Publisher: Elsevier BV
Date: 02-2023
Publisher: Elsevier BV
Date: 04-2018
No related grants have been discovered for Junjie Liu.