Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
| Indexado |
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| DOI | 10.1080/19392699.2010.497114 | ||||
| Año | 2010 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
The multiphase flow and dewatering that occurs during fine coal filtration can be described by the results from Lattice-Boltzmann (LB) simulations. As is known, important factors that influence the efficiency of filtration include: particle size distribution (pore network structure is determined by x-ray microcomputed tomography), pressure drop (flow rate), and wetting characteristics of the coal (water contact angle). Results from permeability experiments are used to validate preliminary simulations. Research is in progress to simulate coal filtration and to identify conditions that will lead to improved water removal and minimum cake moisture content.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Lin, C. L. | - |
Univ Utah - Estados Unidos
University of Utah, College of Mines and Earth Sciences - Estados Unidos |
| 2 | Miiler, J. D. | - |
Univ Utah - Estados Unidos
University of Utah, College of Mines and Earth Sciences - Estados Unidos |
| 3 | Videla, A. R. | Hombre |
Moly Cop - Chile
Scaw Metals Group - Chile |
| 4 | Mejia, J. A. | - |
Univ Utah - Estados Unidos
University of Utah, College of Mines and Earth Sciences - Estados Unidos |
| Fuente |
|---|
| National Natural Science Foundation of China |
| Natural Science Foundation of Beijing Municipality |
| Beijing Nova Program |
| Provincial Natural Science Foundation of China |
| Medical Big Data and Artificial Intelligence Development Fund of the Chinese PLA General Hospital |
| Capital's Funds for Health Improvement and Research |
| Agradecimiento |
|---|
| Financial disclosure: This work was partially supported by grants from the Beijing Nova Program (2011114), the National Natural Science Foundation of China (81270610, 81770203, and 30800482), the Beijing Natural Science Foundation of China (7172200 and 7132217), the Capital's Funds for Health Improvement and Research (2016-1-4082), the Fund Sponsorship of the Capital Public Health Project for DH Liu, National Key Clinical Specialized Military Construction Project for DH Liu (Clinical Medicine), the Provincial Natural Science Foundation of China (818MS157), the Military Translational Medicine Fund of Chinese PLA General Hospital (ZH19003), and the Medical Big Data and Artificial Intelligence Development Fund of the Chinese PLA General Hospital (2019MBD-016). |