光学 精密工程, 2015, 23 (1): 206, 网络出版: 2015-02-15   

深切口椭圆柔性铰链优化设计

Optimization design of deep-notch elliptical flexure hinges
作者单位
南京航空航天大学 机械结构力学及控制国家重点实验室, 江苏 南京 210016
摘要
考虑深切口椭圆形柔性铰链比其他常用的柔性铰链更适用于具有大行程要求的柔性机构, 本文对其进行了优化设计。建立了深切口椭圆形柔性铰链的刚度模型, 探讨了结构参数对其转动刚度的影响。分析了深切口椭圆柔性铰链的柔度矩阵, 利用Newton-cotes求积公式简化了柔度系数的计算, 在此基础上构建了多目标加权优化模型, 利用模糊优化设计方法对各结构参数进行了优化设计。优化结果表明: 绕Z轴旋转的角位移提高了16.72%;绕Y轴旋转角位移下降了16.01%;沿X轴、Y轴和Z轴产生的线位移分别下降了10%、29.33%和51.84%。数据显示: 经过优化的柔性铰链在所期望的Z轴方向上的转动能力得到了提高, 同时抑制了其他方向上的运动能力, 从而提高了柔性铰链的整体运动精度和结构柔度, 可用于高精密、大行程光波导封装定位平台。
Abstract
Deep-notch elliptical flexure hinges are more suitable for a flexible mechanism with large stroke requirements as compared with other common flexure hinges, so this paper optimizes their design. The stiffness model of deep-notch elliptical flexure hinges was established firstly, and the impact of structural parameters on the rotational stiffness was also discussed in detail. Then, the flexibility matrix was analyzed by using Newton-cotes quadrature formula to simplify the calculation of flexibility coefficients, and each structural parameter was optimized by fuzzy optimization method based on the multi-objective optimization model. The results of optimization show that the angular displacement rotated with the Z axis is improved by 16.72%, while that rotated with the Y axis is decreased by 16.01%, and the linear displacements along the axes X, Y, Z are decreased by 10%, 2933% and 51.84%, respectively. After optimization, the rotation capacity of Z axis has been improved and the transmission capacities in other directions are both inhibited, so that the movement accuracy and structural flexibility are enhanced. The test results demonstrate that the optimized deep-notch elliptical flexure hinges meet the requirements of high-precision and large travel of waveguide package positioning platforms.

卢倩, 黄卫清, 王寅, 孙梦馨. 深切口椭圆柔性铰链优化设计[J]. 光学 精密工程, 2015, 23(1): 206. LU Qian, HUANG Wei-qing, WANG Yin, SUN Meng-xin. Optimization design of deep-notch elliptical flexure hinges[J]. Optics and Precision Engineering, 2015, 23(1): 206.

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