Abstract
A method for optimizing the number of airfoils of a turbine design is presented. The optimization consists of reducing the total number of airfoils meanwhile a set of geometric, aerodynamic and acoustic noise restrictions are fulfilled. It is described how is possible to reduce the problem degrees of freedom to just one variable per row. Due to the characteristics of the problem, a standard Genetic Algorithm has been used. As a case study, a real aeronautical Low Pressure Turbine design of 6 stages has been optimized.
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Chaquet, J.M., Carmona, E.J., Corral, R. (2010). Optimizing the Number of Airfoils in Turbine Design Using Genetic Algorithms. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13033-5_18
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DOI: https://doi.org/10.1007/978-3-642-13033-5_18
Publisher Name: Springer, Berlin, Heidelberg
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