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Design optimization of a gas turbine blade geometry for effective film cooling toreduce the blade temperature has been done using a multiobjective optimization formulation. Three optimization formulations have been used. In the first, the average blade temperature is chosen as the objective function to be minimized. An upper bound constraint has been imposed on the maximum blade temperature. In the second, the maximum blade temperature is chosen as the objective function to be minimized with an upper bound constraint on the average blade temperature. In the third formulation, the blade average and maximum temperatures are chosen as objective functions. Shape optimization is performed using geometric parameters associated with film cooling and blade external shape. A quasi-three-dimensional Navier–Stokes solver for turbomachinery flows is used to solve for the flow field external to the blade with appropriate modifications to incorporate the effect of film cooling. The heat transfer analysis for temperature distribution within the blade is performed by solving the heat diffusion equation using the finite element method. The multiobjective Kreisselmeier–Steinhauser function approach has been used in conjunction with an approximate analysis technique for optimization. The results obtained using both formulations are compared with reference geometry. All three formulations yield significant reductions in blade temperature with the multiobjective formulation yielding largest reduction in blade temperature.

This study presents an application of a distributed service-oriented architecture (FIPER) for the preliminary design of gas turbines. The FIPER architecture is based on the concept of registration and discovery of services in real time. It uses a service catalog that registers the services started on the network. These services are then discovered in real time from the grid and used in the design process. The turbine preliminary design process involves changing the configuration of the turbine incrementally and evaluating its performance using analysis (simulation) code. During the design process a one-dimensional analysis code is wrapped into a service using a standard interface developed in FIPER and launched on the network. Several such services were distributed across a grid of workstations. These services were then used to support the turbine configuration optimization process. The study presents the results of the optimization as well as the scalability characteristics of the service-grid.

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