The flexoelectric effect, coupling polarization and strain gradient as well as strain and electric field gradients, is universal to dielectrics, but, as compared to piezoelectricity, it is more difficult to harness as it requires field gradients and it is a small-scale effect. These drawbacks can be overcome by suitably designing metamaterials made of a non-piezoelectric base material but exhibiting apparent piezoelectricity. We develop a theoretical and computational framework to perform topology optimization of the representative volume element of such metamaterials by accurately modeling the governing equations of flexoelectricity using a Cartesian B-spline method, describing geometry with a level set, and resorting to genetic algorithms for optimization. We consider a multi-objective optimization problem where area fraction competes with four fundamental piezoelectric functionalities (stress/strain sensor/ actuator). We computationally obtain Pareto fronts, and discuss the different geometries depending on the apparent piezoelectric coefficient being optimized. In general, we find competitive estimations of apparent piezoelectricity as compared to reference materials such as quartz and PZT ceramics. This opens the possibility to design devices for sensing, actuation and energy harvesting from a much wider, cheaper and effective class of materials.
翻译:弹性电效应、两极分化和伸缩梯度以及电源和电场梯度,对电电具有普遍的普遍性,但是,与电压梯度相比,更难加以利用,因为它需要实地梯度,而且是一种小规模效应。这些缺陷可以通过适当设计由非粉色电基材料制成的元材料来克服,但明显呈现出极电效应。我们开发了一个理论和计算框架,以便利用卡斯特斯B-波纹法准确模拟弹性电力的调节方程式,用一种水平仪描述几何,并采用基因算法进行优化。我们考虑的是多目标优化问题,即区域部分与四种基本电动功能(压力/压力传感器/动能器)竞争。我们计算了帕雷托的战线,并根据正在优化的表面电压系数来讨论不同的地貌。一般来说,我们发现有竞争性的对表面电压值的估计,与参考材料相比,例如平方基和更廉价的电压设备的设计,这为更大规模地从石格和更廉价的电磁设备,打开了从采制到较廉价的能源设备的设计的可能性。</s>