Transactions of Nanjing University of Aeronautics & Astronautics
Structural Design Optimization of the Turbine Baffle Based on the Slime Mould Algorithm of Zhizhou Software
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Abstract:
As a critical component of the turbine rotor， the baffle plays an essential role in ensuring safe and reliable operation of the aero-engine. This study addresses the issue of excessive local stress in the baffle of a high-pressure turbine disc. The structural design optimization is performed using the self-developed Zhizhou software integrated with the slime mould algorithm （SMA）. Leveraging advanced algorithms and comprehensive simulation interfaces， the Zhizhou software effectively exploits the potential of structural design， leading to significant improvements in structural performance. The SMA algorithm employs a positive feedback mechanism and adaptive strategies through the incorporation of fitness weights and oscillation factors. These parameters simulate the oscillatory contraction behavior of slime moulds， allowing the algorithm to dynamically adjust search direction and speed， thereby achieving an effective balance between local exploration and global optimization. During the optimization process， a sector sub-model is established， and the contact model is simplified using a force load equivalence approach to improve computational efficiency. Subsequently， a parametric model of the baffle is developed based on geometric characteristics， stress responses， and boundary constraints， with the variation ranges of key parameters being determined. A mathematical model is then formulated with the objective of minimizing the maximum equivalent stress， under the constraint of the axial support reaction force at the contact surface. Finally， an integrated design optimization workflow is constructed using Zhizhou in combination with Unigraphics （UG） and Workbenchs， as well as incorporating the SMA algorithm to optimize the baffle structure. After optimization， the maximum equivalent stress is decreased from 1 382.4 to 1 235.4 MPa， a reduction of 10.6%. Meanwhile， the axial support reaction force is increased from 4 158.9 to 4 330.6 N， a variation of 4.0%， which satisfies the requirement for being within 12%. These results validate the effectiveness of the SMA algorithm in the structural design optimization of the baffle and demonstrate the practical value of the Zhizhou software in engineering applications.
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This work was supported in part by the National Natural Science Foundation of China （No.52475285）， the Natural Science Foundation of Fujian Province， China （No.2025J09012），and Fundamental Research Funds for the Central Universities （No.20720240062）.
Clc Number:
V232
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