Three-dimensional computational fluid dynamics modeling of particle uptake by an occupational air sampler using manually-scaled and adaptive grids
-
2016/05/01
-
Details
-
Personal Author:
-
Description:This work presents fluid flow and particle trajectory simulation studies to determine the aspiration efficiency of a horizontally oriented occupational air sampler using computational fluid dynamics CFD). Grid adaption and manual scaling of the grids were applied to two sampler prototypes based on a 37-mm cassette. The standard k-e model was used to simulate the turbulent air flow and a second order streamline-upwind discretization scheme was used to stabilize convective terms of the Navier-Stokes equations. Successively scaled grids for each configuration were created manually and by means of grid adaption using the velocity gradient in the main flow direction. Solutions were verified to assess iterative convergence, grid independence and monotonic convergence. Particle aspiration efficiencies determined for both prototype samplers were undistinguishable, indicating that the porous filter does not play a noticeable role in particle aspiration. Results conclude that grid adaption is a powerful tool that allows to refine specific regions that require lots of detail and therefore better resolve flow detail. It was verified that adaptive grids provided a higher number of locations with monotonic convergence than the manual grids and required the least computational effort. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:0021-8502
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Pages in Document:54-66
-
Volume:95
-
NIOSHTIC Number:nn:20047702
-
Citation:J Aerosol Sci 2016 May; 95:54-66
-
Contact Point Address:Andrea C.Landázuri, Universidad San Francisco de Quito USFQ, Colegio de Ciencias e Ingenierías "El Politécnico", Departamento de Ingeniería Química, Calle Diego de Robles y Vía Interoceánica, Cumbayá, Casilla Postal: 17-1200-841, Quito, Ecuador
-
Email:alandazuri@usfq.edu.ec
-
Federal Fiscal Year:2016
-
Performing Organization:Colorado State University - Fort Collins
-
Peer Reviewed:True
-
Start Date:20070801
-
Source Full Name:Journal of Aerosol Science
-
End Date:20100731
-
Collection(s):
-
Main Document Checksum:urn:sha-512:2a6739f92739f5f8f08d671d80b098f43a7871422fbe31acf9af5df6e07fb80a41715674e130a7dc23695a5674bd0b303a11167b7c100172d6196a1090a36a54
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like