4.6 Article

4D printed shape memory sandwich structures: experimental analysis and numerical modeling

Journal

SMART MATERIALS AND STRUCTURES
Volume 31, Issue 5, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.1088/1361-665X/ac60b5

Keywords

additive manufacturing; 4D printing; shape memory polymers; sandwich structures; auxetic; energy absorption; finite element modeling

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Additive manufacturing enables the fabrication of smart sandwich structures with shape memory functionality through four-dimensional (4D) printing, allowing deformed structures to recover their original shape by simple heating. Experimental and simulation studies identify wall thickness, layer height, and nozzle temperature as critical parameters affecting compressive load and energy absorption rate. These findings are expected to guide the design and fabrication of 4D printed sandwich structures for energy absorption applications.
Additive manufacturing has provided a unique opportunity to fabricate highly complex structures as well as sandwich structures with various out-of-plane cores. The application of intelligent materials, such as shape memory polymers, gives an additional dimension to the three-dimensional (3D) printing process, known as four-dimensional (4D) printing, so that the deformed structures can return to their initial shape by the influence of an external stimulus like temperature. In this study, 4D printing of smart sandwich structures with the potential of energy absorption is investigated. The samples were fabricated considering various process parameters (i.e. layer height, nozzle temperature, printing velocity, and wall thickness) and tested mechanically. The experimental work reveals that the deformed sandwiches can fully recover their initial form by applying simple heating. Besides, a reliable finite element model (FEM) was developed to predict the functional behavior of the horseshoe sandwich structures in compression analysis. The experimental and simulation results show that among process parameters, wall thickness, layer height, and nozzle temperature are the most significant parameters to increase the compressive load and, consequently, the energy absorption rate. The concept, results, and modeling provided in this study are expected to be used in the design and fabrication of 4D printed sandwich structures for energy absorption applications.

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