基于组合优化策略的热封机构设计

Optimal Design of Sealing Mechanism Based on Hybrid Optimization Strategy

中文关键词: 热封机构  最优拉丁超立方实验设计  组合优化策略  多岛遗传算法  序列二次规划法

英文关键词: sealing mechanism  Opt LHD  hybrid optimization strategy  MIGA  NLPQL

中文摘要:

      目的 通过组合优化策略对热封机构进行结构优化设计。 方法 建立热封机构有限元参数化模型和多目标优化模型,通过动力学有限元分析获得热封机构结构强度薄弱环节,并采用最优拉丁超立方实验设计对影响热封机构结构强度的主要参数进行研究,分析参数与应力位移之间的响应规律,构造基模型对热封机构进行基于组合优化策略的结构优化设计,取多岛遗传算法和序列二次规划法组合的优化策略逼近最优解。 结果 组合优化过程中的校正决定系数接近 1,模型的结构应力最大值和位移最大值均降至许用范围内。 结论 对热封机构优化设计采用组合优化策略可行,结果可信度高,效果明显。

英文摘要:

      Objective To optimize the structure of sealing mechanism by hybrid optimization strategy. Methods The finite element parametric modeling and multi-objective optimization model of sealing mechanism were established. The structure weaknesses of the sealing mechanism were found out through dynamic finite element analysis. And Optimal Latin Hypercube Design ( Opt LHD) was used to study the main parameters affecting the structural strength, the response regularity between the parameters and stress and displacement was analyzed. The base model was built with the help of Opt LHD and was used to optimize the sealing mechanism based on Hybrid Optimization Strategy which contained Multi-Island Genetic Algorithm ( MIGA) and Non-linear Programming by Quadratic Lagrangian ( NLPQL) Algorithm. Results Adjusted R Square was close to 1 in hybrid optimization. The maximum stress and the maximum displacement were decreased to the allowable range. Conclusion Optimal design for sealing mechanism with hybrid optimization strategy is feasible, the result is highly reliable and the effect is apparent.