Study of gamma-ray scanning technique for troubleshooting analysis of column distillation

Autores

  • Cesar Raitz Jr
  • César Marques Salgado Instituto de Engenharia Nuclear
  • Luis Eduardo Barreira Brandão Instituto de Engenharia Nuclear

Palavras-chave:

gamma-ray scanning, profiling, distillation column, artificial neural networks.

Resumo

The Aplicação de Técnicas Nucleares group of the Instituto de Engenharia Nuclear is developing a new tool for profile analysis based on neural networks. Artificial Neural networks can be trained to recognize patterns much like the human brain does [3]. Up to our knowledge, GRS profiles are still analyzed on the eye. We expect this new tool to provide a reliable impartial analysis method. Our results will be published in a forthcoming paper.

Referências

Buckley, P.S., Luyben, W.L., Shunta, J. P. Design of Distillation Column Control Systems. Edward Arnold, (1985).

Shahabinejad, H. Feghhi, S.A.H., Khorsandi, M., Structural inspection and troubleshooting analysis of a lab-scale distillation column using gamma scanning technique in comparison with Monte Carlo simulations. Measurement, (2014) vol.55, 375–381.

Salgado, C.M., Pereira, C. M. N. A., Schirru, R., Brandão, L.E.B., Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks. Progress in Nuclear Energy, (2010) vol. 67, 555–562.

Capa Progress Report 2013-2014

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Publicado

2015-12-11

Como Citar

Raitz Jr, C., Salgado, C. M., & Brandão, L. E. B. (2015). Study of gamma-ray scanning technique for troubleshooting analysis of column distillation. Instituto De Engenharia Nuclear: Progress Report, (2), 3. Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/213

Edição

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

Seção

Application of Nuclear Techniques in Health and Environment