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Turbine blade cooling passages optimization using reduced conjugate heat transfer methodology

Mazaheri, K ; Sharif University of Technology | 2016

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  1. Type of Document: Article
  2. DOI: 10.1016/j.applthermaleng.2016.05.007
  3. Publisher: Elsevier Ltd , 2016
  4. Abstract:
  5. Here we have optimized shape and location of cooling passages of a C3X turbine blade using a multi-objective strategy. The objective functions is selected to be the maximum temperature gradient and the maximum temperature through the three dimensional blade. Shape of cooling channels is modeled using a new method based on the Bezier curves and using forty design variables. The optimized channel shapes are found to be smooth and without corners. To reduce the computational time, parallel processing and the reduced conjugate heat transfer methodology RCHT is used. Using RCHT, the heat transfer between channels and blade are coupled, while the experimental data is used for heat transfer coefficient between the blade and the hot gases. The multi-objective optimization uses differential evolution algorithm to generate new generations, and using parallel processing for different members of each generation, the computational time is substantially reduced. The Pareto front is found, and different solutions on the Pareto front are analyzed and compared
  6. Keywords:
  7. Differential evolution algorithm ; Turbine cooling ; Computer graphics ; Curve fitting ; Evolutionary algorithms ; Geometry ; Heat transfer ; Interpolation ; Multiobjective optimization ; Optimization ; Turbine components ; Turbines ; Bezier curve ; Conjugate heat transfer ; Differential evolution algorithms ; Maximum temperature ; Maximum temperature gradient ; Multi-objective strategies ; Turbine blade cooling ; Turbine cooling ; Turbomachine blades
  8. Source: Applied Thermal Engineering ; Volume 103 , 2016 , Pages 1228-1236 ; 13594311 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S1359431116306597