13th International Conference on Fracture June 16–21, 2013, Beijing, China -1- Application of Fluid-Solid Couple on Multidisciplinary Optimization Design for Turbine Blade JIA Zhi-gang1,*, WANG Rong-qiao2, HU Dian-yin2, FAN Jiang2, Shen Xiu-li2 1 China aviation engine establishment, Beijing, 100028, China 2 School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191, China * Corresponding author: jia2001720@126.com Abstract The multi-field coupled analysis, a higher precision, is an interaction effect among the fluid, the structure strength and the thermal on the turbine design. Considering the coupled effect in the multidisciplinary optimization design (MDO) could further excavate the design potential and improve the optimization precision on the turbine. Thus the paper firstly shows the automatic process of the fluid-solid closely coupled analysis method based on the ALE which would be the foundation of the turbine MDO. The comparison between the analysis result of the couple and the single discipline on the turbine blade proves the transdisciplinary influence each other. Based on kinds of the different precise analysis methods, this paper secondly puts forward the multiple-precision strategy in order to balance the cost and the precision on turbine MDO. This strategy studies the variable complexity method (VCM) which is improved by the two-point scale function and the periodic updating technology and three kinds of precise models including the fluid-solid closely coupled analysis, the single discipline analysis and the approximate equation. The strategy solves the difficulty of disciplinary decoupling and coordination by the collaborative optimization (CO) strategy. Finally, the new strategy could finish the turbine MDO with acceptable performance. Keywords fluid-solid closely coupled analysis; multidisciplinary design optimization (MDO); variable complexity method (VCM); collaborative optimization (CO) strategy; turbine design; 1. Introduction Turbine blade working in the environment of the high temperature, high pressure and high centrifugal force is a typical component involving the multidisciplinary and the multi-flied coupled design. The MDO as a new design idea could design complex structure by adequately exploring the interaction mechanism between disciplines [1]. The previous MDO established on the foundation of the discipline analysis and completed the design process through decoupling and coordination among disciplines. Thus, the accuracy of the discipline analysis is an important factor on the MDO. The development of the fine design contributes to further excavate the design potential on the engine. A single disciplinary numerical analysis is not accurate enough to discover some exact design problem which would improve the performance. The coupled analysis [2, 3] is a main method to achieve a high precision which has been the goal pursued by engineer and academic on the turbine. The fluid-solid couple, a crossed discipline between the fluid and the solid, is particularly prominent on the turbine blade. Its feature is that the structure generates deformation under the action of the fluid load while this deformation in turn affects the flow field. Making clear the relationship of the fluid-solid couple is conducive to further excavate the design performance. If the coupled analysis was applied on the MDO, it would provide the favorable safeguard of the numerical precision for the engine design. However, previous study has shown that the coupled analysis has a high cost and numerical noise which would be serious influence on MDO cost, even convergence. Recently, the blade has developed various precision methods, such as the approximate equation which is low precise, the single discipline analysis and the discipline coupled analysis. The characteristics of the low precision are low cost and low numerical noise. How to organize these different accuracy analytical methods and fully express their advantages is a key content on greatly increasing the efficiency and accuracy of the blade MDO. The variable complexity modeling (VCM)
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