龙波, 邢廷文, 廖胜. 小型一体式次镜支架结构优化设计[J]. 红外与激光工程, 2014, 43(4): 1176-1181.
引用本文: 龙波, 邢廷文, 廖胜. 小型一体式次镜支架结构优化设计[J]. 红外与激光工程, 2014, 43(4): 1176-1181.
Long Bo, Xing Tingwen, Liao Sheng. Structure optimization design of small-sized integrated support bracket of secondary mirror[J]. Infrared and Laser Engineering, 2014, 43(4): 1176-1181.
Citation: Long Bo, Xing Tingwen, Liao Sheng. Structure optimization design of small-sized integrated support bracket of secondary mirror[J]. Infrared and Laser Engineering, 2014, 43(4): 1176-1181.

小型一体式次镜支架结构优化设计

Structure optimization design of small-sized integrated support bracket of secondary mirror

  • 摘要: 为了提高结构刚度,利用ANSYS的APDL语言对外径椎95mm的一体式3翼次镜支架进行了参数化建模,以基频为目标函数,对构成支架翼形的梁杆和接杆的截面参数进行了优化。优化结果表明:梁杆与接杆的夹角对基频影响显著,基频最高时梁杆与接杆的连接位置临近于基座,但并不在基座根部。在原结构基础上设计了带6螺旋环绕撑筋的新型次镜支架,撑筋显著提高了整体刚度。优化设计的新型次镜支架质量仅增加14.7g,基频增加33%,横向加速度下次镜安装面变形减小37.5%,可作为适应于力学环境的一种较佳结构。参数优化方法可提高多设计变量条件下的建模、仿真效率和设计水平,优化结果可为质量、体积及遮拦受限的小型一体式次镜支架结构设计提供有力支撑。

     

    Abstract: To enhance the structure stiffness, parametric model of small-sized integrated tri-vane support bracket of secondary mirror with a 95-mm outside diameter was built by APDL language of ANSYS, and vane section parameters of the beam and the connecting pole were optimized considering fundamental frequency as the objective function. Optimized result indicated that the angle of the beam and the connecting pole evidently influenced fundamental frequency and their juncture location was near the base seat but not just at the root at the highest fundamental frequency. Based on primitive structure, new type of support bracket of secondary mirror with 6 spiral surrounded supporting ribs was designed, and supporting ribs greatly improved total structure stiffness. After optimization design, this new structure with only a 14.7 g mass increase had excellent performance that fundamental frequency was increased by 33% and mounting interface deformation of secondary mirror was reduced by 37.5% under transverse acceleration, and thus it can be a good structure adapted to mechanics environment. Parametric optimization method may improve the efficiency of modeling and simulation with multiple design variables and also the design level. Optimized result can provide powerful support for structure design with limited weight, volume and obscuration area.

     

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