Yu Zhou^1,*, Shen Ji^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 189-200, 2021, DOI:10.32604/fdmp.2021.011744 - 09 February 2021

Abstract The outbreak of Corona Virus (COVID-19) has spread over a large number of countries. The virus is typically transported inside liquid droplets produced by human beings. As a result, doctors operating in the consulting rooms of hospitals are potentially exposed to high risk. Taking into account the evaporation of droplets and using a hybrid Eulerian-Lagrangian framework to determine the airflow pattern and corresponding motion of droplets, in the present study, the motion of droplets is investigated with regard to the situation in which doctors check patients in front of their bed. A turbulence model (RNG k-ɛ) More >

Ning Li^1,2, Weiming Yi^1,2, Zhihe Li^1,2,*, Lihong Wang^1,2, Yongjun Li^1,2, Xueyuan Bai^1,2, Mei Jiang^1,2

Journal of Renewable Materials, Vol.8, No.3, pp. 329-346, 2020, DOI:10.32604/jrm.2020.08618 - 01 March 2020

Abstract Bio-oil production via pyrolysis is one of promising technologies for renewable energy production from bio-wastes. However, the complicated biooil is still a challenge for high-valued application and during biomass pyrolysis, the emission of non-cleaned aerosol, the potential emission, namely carbonaceous aerosol (CA) increased the difficulty of the commercial promotion. In this study, Rice husk pyrolysis was performed in a semi-continuous fluidized bed reactor coupled with fractional condensers. The effects of pyrolysis and condensation temperature on the properties of bio-oil and emission of CA were investigated systemically. Results indicated that the in-situ separation of vapors was… More >

Qiang Liu^1,*, Yanyun Zou^2,3, Xiaodong Liu⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 617-637, 2019, DOI:10.32604/cmes.2019.06272

Abstract Haze-fog, which is an atmospheric aerosol caused by natural or man-made factors, seriously affects the physical and mental health of human beings. PM_2.5 (a particulate matter whose diameter is smaller than or equal to 2.5 microns) is the chief culprit causing aerosol. To forecast the condition of PM_2.5, this paper adopts the related the meteorological data and air pollutes data to predict the concentration of PM_2.5. Since the meteorological data and air pollutes data are typical time series data, it is reasonable to adopt a machine learning method called Single Hidden-Layer Long Short-Term Memory Neural Network (SSHL-LSTMNN)… More >