Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Optimization of an internal blade cooling passage configuration using a Chimera approach and parallel computing

Storti, Bruno AlbertoIcon ; Garelli, LucianoIcon ; Storti, Mario AlbertoIcon ; D'elia, JorgeIcon
Fecha de publicación: 09/2020
Editorial: Elsevier Science
Revista: Finite Elements in Analysis and Design
ISSN: 0168-874X
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Mecánica Aplicada

Resumen

Improving gas turbine performance depends almost exclusively on the maximum temperature of the combustion gases. This temperature is limited by the thermomechanical strength of the turbine vanes. In this work, a Chimera approach for overlapping grids in the finite element method (FEM) context is proposed to optimize the arrangement of several cooling passages within the vane to minimize its average temperature, thereby improving the thermal transfer efficiency. The scheme is based on a fixed background mesh covering the entire domain, while finer meshes surrounding the coolant passages can move around over the airfoil while searching for the best configuration of the cooling system. Information is exchanged between meshes through a high-order interpolation algorithm. The optimization strategy is developed based on the use of the population-based augmented Lagrangian particle swarm optimizer (ALPSO) to approach a probable global minimum, and then a refinement of the solution is performed using the gradient-based sequential least squares quadratic programming (SLSQP) algorithm. Both the gradient, for the gradient-based optimizer, and the function evaluations, for the population-based optimizer, are solved in parallel to speed up the solution.
Palabras clave: CHIMERA METHOD , OVERLAPPING GRIDS , PARALLEL OPTIMIZATION , TURBINE VANE
Ver el registro completo
 
Archivos asociados
Tamaño: 4.950Mb
Formato: PDF
.
Solicitar
Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/139774
URL: https://www.sciencedirect.com/science/article/abs/pii/S0168874X20301037
DOI: http://dx.doi.org/10.1016/j.finel.2020.103423
Colecciones
Articulos(CIMEC)
Articulos de CENTRO DE INVESTIGACION DE METODOS COMPUTACIONALES
Citación
Storti, Bruno Alberto; Garelli, Luciano; Storti, Mario Alberto; D'elia, Jorge; Optimization of an internal blade cooling passage configuration using a Chimera approach and parallel computing; Elsevier Science; Finite Elements in Analysis and Design; 177; 9-2020; 1-17
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES