Abstract

Advancement of additive manufacturing is driving a need for design tools that exploit the increasing fabrication freedom. Multimaterial, three-dimensional (3D) printing allows for the fabrication of components from multiple materials with different thermal, mechanical, and “active” behavior that can be spatially arranged in 3D with a resolution on the order of tens of microns. This can be exploited to incorporate shape changing features into additively manufactured structures. 3D printing with a downstream shape change in response to an external stimulus such as temperature, humidity, or light is referred to as four-dimensional (4D) printing. In this paper, a design methodology to determine the material layout of 4D printed materials with internal, programmable strains is introduced to create active structures that undergo large deformation and assume a desired target displacement upon heat activation. A level set (LS) approach together with the extended finite element method (XFEM) is combined with density-based topology optimization to describe the evolving multimaterial design problem in the optimization process. A finite deformation hyperelastic thermomechanical model is used together with an higher-order XFEM scheme to accurately predict the behavior of nonlinear slender structures during the design evolution. Examples are presented to demonstrate the unique capabilities of the proposed framework. Numerical predictions of optimized shape-changing structures are compared to 4D printed physical specimen and good agreement is achieved. Overall, a systematic design approach for creating 4D printed active structures with geometrically nonlinear behavior is presented which yields nonintuitive material layouts and geometries to achieve target deformations of various complexities.

Highlights

  • Advanced additive manufacturing (AM) technologies like three-dimensional (3D) printing have improved vastly in recent years in terms of accuracy, material variety and reliability

  • A combined level set (LS)-XFEM and density-based topology optimization approach was introduced in order to describe the multi-material optimization problem

  • The LS-XFEM was employed to describe the solid-void domains in a crisp manner, while the solid isotropic material with penalization (SIMP) method was used within the solid domain to distinguish between active and passive material sub-domains

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Summary

Introduction

Advanced additive manufacturing (AM) technologies like three-dimensional (3D) printing have improved vastly in recent years in terms of accuracy, material variety and reliability. The component is heated to release the built-in eigenstrain of the rubbery polymer (active material) by lowering the stiffness of the glassy polymer (passive material) This is achieved through heating of the printed structure beyond the glass transition temperature of the passive material causing a permanent shape change. Printed (e), the shape-change is activated through relaxation of the compressive printing strain in the active material in a 65.0◦C hot water bath This is achieved by heating up the structure above the glass transition temperature of the passive, stiff material at which its stiffness is significantly reduced. At this state, the eigenstrains of the active material can relax leading to the desired change in shape.

Hyperelastic Thermomechanical Model
Combined LS-Density Geometry and Material Description
Design Sensitivity Analysis using the Adjoint Method
Findings
Conclusions
Full Text
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