论文标题
4D打印的相位场拓扑优化
Phase field topology optimisation for 4D printing
论文作者
论文摘要
这项工作涉及基于相场方法的4D打印的结构拓扑优化问题。 4D打印作为3D打印结构的目标演变的概念可以在两步过程中实现。一个首先制造具有多物质活性复合材料的3D对象,并在编程阶段施加外部负载。然后,改变环境刺激和负载的去除会导致对象在编程阶段变形。原始形状和变形形状之间的动态过渡是通过适当应用刺激实现的。数学兴趣是找到材料的最佳分布,以使3D打印对象尽可能最好地在编程阶段实现目标配置。 将问题抛弃为PDE约束的最小化问题,我们考虑了代表复合材料中不同材料的体积分数作为控制变量的矢量值阶参数。我们证明了最佳设计的存在,并为最小化器制定了必要的条件。此外,通过合适的渐近技术,我们将方法与尖锐的界面描述联系起来。最后,理论结果通过两个和三个空间维度的几个数值模拟验证。
This work concerns a structural topology optimisation problem for 4D printing based on the phase field approach. The concept of 4D printing as a targeted evolution of 3D printed structures can be realised in a two-step process. One first fabricates a 3D object with multi-material active composites and apply external loads in the programming stage. Then, a change in an environmental stimulus and the removal of loads cause the object deform in the programmed stage. The dynamic transition between the original and deformed shapes is achieved with appropriate applications of the stimulus. The mathematical interest is to find an optimal distribution for the materials such that the 3D printed object achieves a targeted configuration in the programmed stage as best as possible. Casting the problem as a PDE-constrained minimisation problem, we consider a vector-valued order parameter representing the volume fractions of the different materials in the composite as a control variable. We prove the existence of optimal designs and formulate first order necessary conditions for minimisers. Moreover, by suitable asymptotic techniques, we relate our approach to a sharp interface description. Finally, the theoretical results are validated by several numerical simulations both in two and three space dimensions.