Specific surface area of polydispersions as a function of size distribution sharpness
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501106 |
Resumo: | Abstract Knowledge of particulate system properties is very important in various industrial instances and the possibility of fast predicting the behavior of such systems is an important control tool. The specific surface area of simulated particulate systems was studied as a function of the sharpness parameter of the size distribution of the Gates–Gaudin-Schumann, Gaudin–Meloy and Rosin–Rammler equations. The results showed good statistical adherence, especially the Rosin–Rammler equation, in situations where it is the best descriptor of particle size distribution. |
id |
ABC-1_b1e99641fe714f0b0b9e3c0ba35a0e10 |
---|---|
oai_identifier_str |
oai:scielo:S0001-37652020000501106 |
network_acronym_str |
ABC-1 |
network_name_str |
Anais da Academia Brasileira de Ciências (Online) |
repository_id_str |
|
spelling |
Specific surface area of polydispersions as a function of size distribution sharpnessparticle size distributionsharpness indexstatistical distributionsurface areaAbstract Knowledge of particulate system properties is very important in various industrial instances and the possibility of fast predicting the behavior of such systems is an important control tool. The specific surface area of simulated particulate systems was studied as a function of the sharpness parameter of the size distribution of the Gates–Gaudin-Schumann, Gaudin–Meloy and Rosin–Rammler equations. The results showed good statistical adherence, especially the Rosin–Rammler equation, in situations where it is the best descriptor of particle size distribution.Academia Brasileira de Ciências2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501106Anais da Academia Brasileira de Ciências v.92 n.3 2020reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202020191407info:eu-repo/semantics/openAccessLOPES,PAULO FILIPE T.LUZ,JOSÉ AURÉLIO M. DAMILHOMEM,FELIPE O.eng2020-11-09T00:00:00Zoai:scielo:S0001-37652020000501106Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-11-09T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Specific surface area of polydispersions as a function of size distribution sharpness |
title |
Specific surface area of polydispersions as a function of size distribution sharpness |
spellingShingle |
Specific surface area of polydispersions as a function of size distribution sharpness LOPES,PAULO FILIPE T. particle size distribution sharpness index statistical distribution surface area |
title_short |
Specific surface area of polydispersions as a function of size distribution sharpness |
title_full |
Specific surface area of polydispersions as a function of size distribution sharpness |
title_fullStr |
Specific surface area of polydispersions as a function of size distribution sharpness |
title_full_unstemmed |
Specific surface area of polydispersions as a function of size distribution sharpness |
title_sort |
Specific surface area of polydispersions as a function of size distribution sharpness |
author |
LOPES,PAULO FILIPE T. |
author_facet |
LOPES,PAULO FILIPE T. LUZ,JOSÉ AURÉLIO M. DA MILHOMEM,FELIPE O. |
author_role |
author |
author2 |
LUZ,JOSÉ AURÉLIO M. DA MILHOMEM,FELIPE O. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
LOPES,PAULO FILIPE T. LUZ,JOSÉ AURÉLIO M. DA MILHOMEM,FELIPE O. |
dc.subject.por.fl_str_mv |
particle size distribution sharpness index statistical distribution surface area |
topic |
particle size distribution sharpness index statistical distribution surface area |
description |
Abstract Knowledge of particulate system properties is very important in various industrial instances and the possibility of fast predicting the behavior of such systems is an important control tool. The specific surface area of simulated particulate systems was studied as a function of the sharpness parameter of the size distribution of the Gates–Gaudin-Schumann, Gaudin–Meloy and Rosin–Rammler equations. The results showed good statistical adherence, especially the Rosin–Rammler equation, in situations where it is the best descriptor of particle size distribution. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501106 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501106 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765202020191407 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.92 n.3 2020 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302869350121472 |