Shortening the Optimization Design Cycle of Dovetail Geometries of Turbine Blades Based on Isight and Abaqus
In this paper,Abaqus software is used to analyze the minimum contact pressure and stress around the dovetail of typical turbine blades,and the simulation process automation and optimization design are studied based on the multidisciplinary optimization design platform Isight,in order to find an efficient optimization design scheme on the premise of meeting the design requirements.At the beginning of the design,a variety of algorithms provided by Isight were used for optimization design,and the optimization results and time of different algorithms were compared.It was found that although the optimization time of Nonlinear Sequential Quadratic Programming(NLPQLP)and Downhill Simplex was short,the optimization results fell into local optimization,and the optimization results of Multi-Island Genetic Algorithm(MIGA)and the Non-dominated Sorting Genetic Algorithm(NSGA-Ⅱ)were ideal,but the optimization efficiency is low.On this basis,two improvement schemes are proposed.First,based on the tools provided by Isight,the Optimal Latin Hypercube is used to collect design samples to create an agent model,and then the agent model is used for further optimization.In the second way,a combination optimization strategy is adopted.First,MIGA or NSGA-Ⅱis used for a small amount of global optimization,and then the optimization results are used as the initial scheme for the next optimization.NLPQLP and Downhill Simplex are used for local optimization.Finally,the optimization results and efficiency of various schemes are compared and evaluated.
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