Volume fractions study in multiphase flows using computational fluid-dynamics, Monte-Carlo method and artificial neural networks

Autores

  • Renato Raoni Werneck Affonso PEN/COPPE
  • Ademir Xavier da Silva PEN/COPPE
  • César Marques Salgado Instituto de Engenharia Nuclear

Palavras-chave:

Gamma ray densitometry, Volume Fraction, MCNP

Resumo

Development of a methodology based in gamma ray densitometry techniques and neural networks for the prediction of volume fractions in multiphase flows using computational fluid-dynamics (CFD) and X-MCNP code.

Referências

LOS ALAMOS NATIONAL LABORATORY. Monte Carlo Code Group. Disponivel em: <https://mcnp.lanl.gov>.

AFFONSO, R. R. W.; XAVIER, A. D. S.; SALGADO, C. M. Gamma ray densitometry techniques for measuring of volume fractions. São Paulo: INAC, 2015.

Capa Progress Report 2013-2014

Downloads

Publicado

2015-12-10

Como Citar

Affonso, R. R. W., Silva, A. X. da, & Salgado, C. M. (2015). Volume fractions study in multiphase flows using computational fluid-dynamics, Monte-Carlo method and artificial neural networks. Instituto De Engenharia Nuclear: Progress Report, (2), 21. Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/216

Edição

n. 2 (2015): IEN - Progress Report 2013-2014 n.2

Seção

Application of Nuclear Techniques in Health and Environment