首页> 外文会议>2002 International Conference on Modeling and Simulation of Microsystems, Apr 21-25, 2002, San Juan, Puerto Rico, USA >Optimization of a Micro Actuator Plate Using Evolutionary Algorithms and Simulation Based on Discrete Element Methods
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Optimization of a Micro Actuator Plate Using Evolutionary Algorithms and Simulation Based on Discrete Element Methods

机译:基于进化算法的微执行器板优化及离散元仿真

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Within the framework of the OMID joint project (1999 -2002) funded by the BMBF, a universal, fluidically driven actuator plate is being developed in cooperation with the project partners of Bartels Mikrotechnik GmbH and AN-SOFT GmbH. This actuator plate is to be applied as an integrated microsystem component for the conversion of fluidic energy into mechanical energy. Applications of the micro actuator include tactile arrays for high-resolution Braille displays or high-pole micro relays. The present contribution deals with topology optimization using evolutionary algorithms and a parameterizable finite element method (FEM) simulation model. The use of evolutionary algorithms requires short simulation times for evaluation. For this reason, close-to-physics simulation models based on discrete element methods cannot be used so far for this purpose, due to their usually long computation times (compared to higher models). In contrast to this, the parallel version of the GADO (Genetic Algorithms for Design Optimization) optimization tool developed by our Institute allows for the use of close-to-physics simulation models in optimization with a global search strategy.
机译:在由BMBF资助的OMID联合项目(1999年至2002年)的框架内,正在与Bartels Mikrotechnik GmbH和AN-SOFT GmbH的项目合作伙伴合作开发一种通用的流体驱动执行器板。该执行器板将用作集成的微系统组件,用于将流体能转换为机械能。微型致动器的应用包括用于高分辨率盲文显示器或高极微型继电器的触觉阵列。本贡献涉及使用进化算法和可参数化有限元方法(FEM)仿真模型的拓扑优化。使用进化算法需要较短的仿真时间进行评估。由于这个原因,基于离散元素方法的接近物理的仿真模型由于其通常较长的计算时间而无法用于此目的(与更高的模型相比)。与此相反,我们研究所开发的并行版本的GADO(优化设计的遗传算法)优化工具允许在全局搜索策略的优化中使用接近物理的仿真模型。

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