Citation:
R. Roy, A. Tiwari, J. Corbett. Designing a Turbine Blade Cooling System Using a Generalised Regression Genetic Algorithm. Cirp Annals-Manufacturing Technology, 2003, Vol 52, Issue 1, pages 415-418.
Abstract:
The design of a turbine blade cooling system is a multi-objective optimisation problem involving constraints and complex interaction among its design variables. The aim of this paper is to develop a methodology to optimise this design using Evolutionary Computing techniques. This paper presents Generalised Regression Genetic Algorithm (GRGA) and the mathematical model of a real-life turbine blade cooling system. Even in the presence of variable interaction, the methodology identifies a number of good feasible designs from which one could be finally chosen based on designer's preferences. The research also demonstrates that GRGA is capable of optimising a real-life design.