In the design of modern engine, high thrust-weight ratio becomes an important indicator. In these engines, the turbine disc bears complicated loads caused by high rotating speed and high temperature difference. Reducing its thermal stress by fine-tuning the shape and temperature field without changing the revolving speed so as to achieve weight loss has become the new focus. Based on the structure of the turbine disc, this paper discussed multi-disciplinary optimization method. Firstly, we studied the fluid-thermal coupled numerical method of the turbine disc. The temperature field on solid domain of the turbine disc is obtained without changing the air-entraining. And then, we accomplished the data transmission of temperature between fluid-thermal coupled calculation and strength calculation by interpolation process accurately. The strength calculation is carried out with the temperature as the boundary condition of the solid domain. Secondly, based on the feature-based parametric model of the mortise/disc structure, the fluid and strength calculation software are integrated to the optimization platform. It is through batch and convergence programs to achieve the automated operation of multi-disciplinary calculation. Take the lightest weight as the objective function and the weight-sensitive parameters as design variables. The fluid-thermal-structure coupled optimization of mortise/disc is achieved by using the classic multi-disciplinary feasible optimization strategy. To take full advantage of the optimization space to find the optimal solution of design problems, we have taken hybrid algorithms of MIGA and NLPQL. Finally, on the basis of the above calculations and optimization, a satisfactory result is obtained with the total weight of the mortise/disc decreased by about 5%. The plastic analysis of the optimized mortise/disc is carried out at last and met the strength requirements. Through this paper, a complete multi-disciplinary method containing fluid-thermal-structure of the mortise/disc is formed. The method takes full account of the influence of the fluid flow and heat transfer. It also shortens the design cycle and promotes design efficiency.

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