Multi-layer compounds with integrated actor-sensor-functionality
Multi-layer compounds with integrated actor-sensor-functionality
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具有集成演员-传感器功能的多层化合物
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
S. Hensel
中科院分区：
文献类型：
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作者：
R. Neugebauer;L. Lachmann;W. Drossel;M. Nestler;S. Hensel
提出了一种方法，以集成成本和时间消耗的后连接技术的压电元件和传感器直接在金属毛坯结构的成形过程。这些部件的可能应用是振动/噪声阻尼、可变形形状控制、能量收集或几种传感器任务。不同的成形工艺进行了实验研究，并根据脆性压电元件的变形的限制进行了讨论。在数值研究中，压电元件（压电纤维，电极和塑料嵌入）被均匀化，以创建一个计算时间减少简化的材料模型。在成形模拟中的全球负载的反向传递中，使用具有循环边界条件的代表性体积单元（RVE）来评估压电陶瓷材料的负载，以描述由于成形操作而导致的功能退化。数值和实验确定的结果在线性方式的比较导致进一步的数值研究的必要性。最大压电贴片负载的位置对应的数值研究。功能退化的数值积分模型显示出很大的差异相比，积分实验确定的值。因此，广泛的实验研究直接在形成化合物外的压电陶瓷计划，以适应在非线性方式的退化模型。
A method is presented to integrate the cost and time consuming afterwards-joining technologies of piezo actors and sensors direct in the forming processes for metal blank structures. Possible applications for such parts are vibration/ noise damping, deformable shape control, energy harvesting or several sensor tasks. Different forming processes are experimentally investigated and the limits according to deformation of the brittle piezo components discussed. In the numerical research the piezomodule components (piezo fibre, electrodes and plastics embeddings) are homogenized to create a computation-time reducing simplified material model. In a back-transfer of global loads in the forming simulation a representative volume element (RVE) with cyclic boundary conditions is used to evaluate the loading of the piezoceramic material to describe the function degradation due to forming operation. The comparison of numerically and experimentally determined results in a linear manner lead to the necessarity of further numerical research. The location of maximum piezo-patch loading corresponds well with the numerical investigation. The numerical integral model for function degradation shows a large difference in comparison to the integral experimentally determined values. Therefore extensive experimental research direct on the piezomodule outside the forming compound is planned to fit the degradation model in a nonlinear manner.