Shape morphing implicates that a specific condition leads to a morphing reaction. The material thus transforms from one shape to another in a predefined manner. In this paper, not only the target shape but rather the evolution of the material's shape as a function of the applied strain is programmed. To rationalize the design process, concepts from informatics (processing functions, for example, Poisson's ratio (PR) as function of strain: ν = f(ε) and if‐then‐else conditions) will be introduced. Three types of shape morphing behavior will be presented: (1) achieving a target shape by linearly increasing the amplitude of the shape, (2) filling up a target shape in linear steps, and (3) shifting a bulge through the material to a target position. In the first case, the shape is controlled by a geometric gradient within the material. The filling kind of behavior was implemented by logical operations. Moreover, programming moving hillocks (3) requires to implement a sinusoidal function εy = sin (εx) and an if‐then‐else statement into the unit cells combined with a global stiffness gradient. The three cases will be used to show how the combination of mechanical mechanisms as well as the related parameter distribution enable a programmable shape morphing behavior in an inverse design process.
Programmable materials are a novel development, in which specialized production processes are used to introduce a framework of information capabilities into the inner structure of materials. Since the design and fabrication of programmable materials are still challenging, this aims to introduce a design and fabrication concept to pave the way toward industrial application. Herein, complex shape morphing has been implemented in the sense that the shape changes in response to external conditions, following a predefined program. First, the feasibility of a fabrication concept for uniform metamaterials with auxetic behavior is presented. A material with a predetermined nonuniform inner structure that deforms to a symmetrical shape has been developed and fabricated according to this concept. More complex behavior can be implemented by facilitating optimization methods to find inner structures according to a target shape. Lastly, an optimized and producible design for asymmetrical shape morphing is described to demonstrate the applicability of the approach.
An optimal design for a programmable material based on an array of unit-cells is established. A programmable material behavior is achieved by using unit-cells with complex and adjustable features arising from the inner structure of each cell. This type of materials has the potential of replacing the functionality of entire systems consisting of sensors and actuators, provided that an optimal inner structure is given. In this paper the multiscale optimization problem and a solution strategy are presented. An efficient data driven method is used for the solution of the macroscopic boundary value problem. Finally, an example of an optimized parameter distribution for a unit-cell based material is shown.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.