Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2010 |
| Outros Autores: | , , , , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional do IEN |
| Texto Completo: | http://hdl.handle.net/ien/639 |
Resumo: | IEN/CNEN |
| id |
IEN_2fd99c08f149c65d176f81e57965f643 |
|---|---|
| oai_identifier_str |
oai:carpedien.ien.gov.br:ien/639 |
| network_acronym_str |
IEN |
| network_name_str |
Repositório Institucional do IEN |
| spelling |
PEREIRA, Cláudio Márcio do Nascimento AbreuSALGADO, César MarquesSCHIRRU, RobertoBRANDÃO, Luis Eduardo Barreira SEESCSECIC-SERADRealidade Virtual Aplicada na Área NuclearAPLICAÇÃO DE TÉCNICAS NUCLEARES NA INDÚSTRIA, SAÚDE E MEIO AMBIENTE-APLICAÇÃO DE TÉCNICAS NUCLEARES NA INDÚSTRIA, SAÚDE E MEIO AMBIENTEcmnap@ien.gov.brotero@ien.gov.br-brandao@ien.gov.brhttp://lattes.cnpq.br/2341184189645578http://lattes.cnpq.br/9316451931152992http://lattes.cnpq.br/5766592315448911http://lattes.cnpq.br/36944164014274092014-05-15T14:53:20Z2014-05-15T14:53:20Z2010-080149-1970http://hdl.handle.net/ien/639Submitted by Belo Jamyllye (jamyllye@gmail.com) on 2014-05-15T14:53:20Z No. of bitstreams: 0Made available in DSpace on 2014-05-15T14:53:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-08IEN/CNENIEN/CNENCOPPEIEN/CNENhttp://www.sciencedirect.com/science/article/pii/S0149197010000375SALGADO, César Marques ; Pereira, Cláudio M.N.A. ; SCHIRRU, Roberto ; Brandão, Luis E.B. ; PEREIRA, C. M. N. A. . Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks. Progress in Nuclear Energy (New series) , v. 52, p. 555-562, 2010.NaI detectorMonte Carlo simulationVolume fractionArtificial neural networkGamma-rayFlow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networksinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional do IENinstname:Instituto de Engenharia Nuclearinstacron:IENinfo:eu-repo/semantics/openAccessORIGINALFlow regime identi.pdfFlow regime identi.pdfapplication/pdf618606http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/639/2/Flow+regime+identi.pdf52f6559d442783fd1f0db8ec7d97bfa5MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/639/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51ien/639oai:carpedien.ien.gov.br:ien/6392015-07-28 11:50:40.883Dspace IENlsales@ien.gov.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 |
| dc.title.pt_BR.fl_str_mv |
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks |
| title |
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks |
| spellingShingle |
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks PEREIRA, Cláudio Márcio do Nascimento Abreu NaI detector Monte Carlo simulation Volume fraction Artificial neural network Gamma-ray |
| title_short |
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks |
| title_full |
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks |
| title_fullStr |
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks |
| title_full_unstemmed |
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks |
| title_sort |
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks |
| author |
PEREIRA, Cláudio Márcio do Nascimento Abreu |
| author_facet |
PEREIRA, Cláudio Márcio do Nascimento Abreu SALGADO, César Marques SCHIRRU, Roberto BRANDÃO, Luis Eduardo Barreira SEESC SECIC - SERAD Realidade Virtual Aplicada na Área Nuclear APLICAÇÃO DE TÉCNICAS NUCLEARES NA INDÚSTRIA, SAÚDE E MEIO AMBIENTE cmnap@ien.gov.br otero@ien.gov.br brandao@ien.gov.br http://lattes.cnpq.br/2341184189645578 http://lattes.cnpq.br/9316451931152992 http://lattes.cnpq.br/5766592315448911 http://lattes.cnpq.br/3694416401427409 |
| author_role |
author |
| author2 |
SALGADO, César Marques SCHIRRU, Roberto BRANDÃO, Luis Eduardo Barreira SEESC SECIC - SERAD Realidade Virtual Aplicada na Área Nuclear APLICAÇÃO DE TÉCNICAS NUCLEARES NA INDÚSTRIA, SAÚDE E MEIO AMBIENTE cmnap@ien.gov.br otero@ien.gov.br brandao@ien.gov.br http://lattes.cnpq.br/2341184189645578 http://lattes.cnpq.br/9316451931152992 http://lattes.cnpq.br/5766592315448911 http://lattes.cnpq.br/3694416401427409 |
| author2_role |
author author author author author author author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
PEREIRA, Cláudio Márcio do Nascimento Abreu SALGADO, César Marques SCHIRRU, Roberto BRANDÃO, Luis Eduardo Barreira SEESC SECIC - SERAD Realidade Virtual Aplicada na Área Nuclear APLICAÇÃO DE TÉCNICAS NUCLEARES NA INDÚSTRIA, SAÚDE E MEIO AMBIENTE - APLICAÇÃO DE TÉCNICAS NUCLEARES NA INDÚSTRIA, SAÚDE E MEIO AMBIENTE cmnap@ien.gov.br otero@ien.gov.br - brandao@ien.gov.br http://lattes.cnpq.br/2341184189645578 http://lattes.cnpq.br/9316451931152992 http://lattes.cnpq.br/5766592315448911 http://lattes.cnpq.br/3694416401427409 |
| dc.subject.other.pt_BR.fl_str_mv |
NaI detector Monte Carlo simulation Volume fraction Artificial neural network Gamma-ray |
| topic |
NaI detector Monte Carlo simulation Volume fraction Artificial neural network Gamma-ray |
| dc.description.affilliation.fl_txt_mv |
IEN/CNEN IEN/CNEN COPPE IEN/CNEN |
| description |
IEN/CNEN |
| publishDate |
2010 |
| dc.date.issued.fl_str_mv |
2010-08 |
| dc.date.accessioned.fl_str_mv |
2014-05-15T14:53:20Z |
| dc.date.available.fl_str_mv |
2014-05-15T14:53:20Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
| status_str |
publishedVersion |
| format |
article |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/ien/639 |
| dc.identifier.issn.none.fl_str_mv |
0149-1970 |
| identifier_str_mv |
0149-1970 |
| url |
http://hdl.handle.net/ien/639 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.uri.pt_BR.fl_str_mv |
http://www.sciencedirect.com/science/article/pii/S0149197010000375 |
| dc.relation.references.pt_BR.fl_str_mv |
SALGADO, César Marques ; Pereira, Cláudio M.N.A. ; SCHIRRU, Roberto ; Brandão, Luis E.B. ; PEREIRA, C. M. N. A. . Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks. Progress in Nuclear Energy (New series) , v. 52, p. 555-562, 2010. |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.source.none.fl_str_mv |
reponame:Repositório Institucional do IEN instname:Instituto de Engenharia Nuclear instacron:IEN |
| reponame_str |
Repositório Institucional do IEN |
| collection |
Repositório Institucional do IEN |
| instname_str |
Instituto de Engenharia Nuclear |
| instacron_str |
IEN |
| institution |
IEN |
| bitstream.url.fl_str_mv |
http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/639/2/Flow+regime+identi.pdf http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/639/1/license.txt |
| bitstream.checksum.fl_str_mv |
52f6559d442783fd1f0db8ec7d97bfa5 8a4605be74aa9ea9d79846c1fba20a33 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
| repository.name.fl_str_mv |
Dspace IEN |
| repository.mail.fl_str_mv |
lsales@ien.gov.br |
| _version_ |
1656026971085209600 |