双层超弹性铰链展开冲击分析与优化

发布时间：2018-03-20 02:03

本文选题：冲击　切入点：超弹性铰链　出处：《振动与冲击》2016年09期 　论文类型：期刊论文

【摘要】：超弹性铰链依靠自身大挠度弹性折叠存储的弹性势能实现弹性展开,集驱动、旋转和锁定于一体。研究了双层超弹性铰链展开冲击性能,提出了降低双层超弹性铰链展开冲击优化方法。为了确保有限元模型的准确性,搭建实验平台对双层超弹性铰链进行动力学展开性能测试,基于实验结果对有限元模型进行修正。采用正交法试验设计建立展开冲击特性代理模型。以展开冲击角度和锁定时间最小为目标函数,采用改进的非支配遗传算法对双层超弹性铰链进行参数化优化设计,得到最优结构尺寸。对最优结构尺寸进行有限元展开分析,误差不大于5.008%,表明代理模型准确性。最优非等厚度与等厚度双层超弹性铰链对比,发现前者冲击角度和锁定时间分别降低52.154%和29.104%,优化后结构的冲击得到明显改善。通过参数研究发现,展开冲击对外侧带簧厚度较为敏感,锁定时间随带簧厚度增加表现出先减少后增大的趋势。
[Abstract]:Hyperelastic hinge realizes elastic expansion by using elastic potential energy stored in its own large deflection elastic folding, which is driven, rotated and locked in one body. The impact performance of double layer hyperelastic hinge is studied. In order to ensure the accuracy of the finite element model, an experimental platform was built to test the dynamic expansion performance of the double layer hyperelastic hinge. Based on the experimental results, the finite element model is modified, and the agent model of expanded impact characteristics is established by orthogonal test design. The objective function is to minimize the impact angle and locking time. An improved non-dominated genetic algorithm is used to optimize the parametric design of double-layer hyperelastic hinge, and the optimal structure size is obtained. The finite element analysis of the optimal structure size is carried out. The error is not greater than 5.008, which indicates the accuracy of the agent model. The optimum non-equal thickness and equal thickness double-layer hyperelastic hinge are compared. It is found that the impact angle and locking time of the former are reduced by 52.154% and 29.104, respectively, and the impact of the optimized structure is obviously improved. Through the parameter study, it is found that the expanded impact is more sensitive to the thickness of the outer band spring. The increase of spring thickness with locking time shows a tendency of first decreasing and then increasing.
【作者单位】：哈尔滨工业大学机电学院机器人技术与系统国家实验室;
【基金】：国家高校111计划(B07018) 机器人技术与系统国家实验室自主课题(SKLRS201401A02) 中央高校基础研究基金(HIT.NSRIF.2015050)
【分类号】：V414

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