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A combustor liner cooling system design methodology based on a fluid/structure approach.

Author(s) : LARAIA M., MANNA M., CINQUE G., et al.

Type of article: Article

Summary

The paper presents a multi-disciplinary multi-objective design optimization methodology of a combustion chamber effusion cooling system. The optimizer drives an Artificial Neural Network and a Manufacturing Time Model in a repeated analysis scheme in order to increase the combustor liner LCF life and to reduce the liner cooling system manufacturing time, simultaneously. The ANN is trained with a set of fluid/structure/lifing simulations arranged in a three-levels dataset based on a properly designed DOE approach. The CFD simulations are carried out with a reliable and robust in-house developed three-dimensional high resolution reactive viscous flow solver, accounting for a conjugate heat transfer approach; the liner structural analysis is performed with a standard FEM code while the liner life assessments are obtained through an in-house developed software operating on the temperature/stress fields. Results demonstrate the validity of the overall approach in a five-dimensional state space with truly moderate computational costs.

Details

  • Original title: A combustor liner cooling system design methodology based on a fluid/structure approach.
  • Record ID : 30008379
  • Languages: English
  • Source: Applied Thermal Engineering - vol. 60 - n. 1-2
  • Publication date: 2013/10
  • DOI: http://dx.doi.org/10.1016/j.applthermaleng.2013.06.012

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