journal article·2024-06-01Open access

Characterization of Anisotropic Shape Memory Behavior of Thermoresponsive Components in 4D Printing

Jing Zhao, Muyue Han, Lin Li

Abstract

Four-dimensional (4D) printing has emerged as a promising manufacturing technology in recent years and revolutionized products by adding shape-morphing capabilities when exposed to certain stimuli. Increasing research attention has been dedicated to studying the shape memory behaviors of the 4D fabricated structures. However, in-depth discussions on quantifying the influence of process parameters on shape fixity and recovery properties are limited, and the anisotropy induced by the layer-wise fabrication nature is significantly underreported. To further exploit the shape memory property of 4D printed structures, it is essential to investigate the process-induced anisotropic shape memory behaviors. In this study, the effects of critical process parameters on anisotropy in shape memory properties are mathematically quantified; meanwhile, the feasibility of tailoring the anisotropy of 4D printed parts is examined with joint consideration of total build time. Different scanning patterns are experimentally analyzed for their influence on anisotropic behaviors. It is found that the Triangle scanning pattern often leads to the best shape memory behaviors in different directions. The outcome of this study confirms the existence of anisotropy in both shape fixity and shape recovery ratios. In addition, the results also reveal that a smaller scanning angle tends to minimize the anisotropy and total fabrication time while ensuring satisfactory shape memory performance. Furthermore, layer thickness shows negligible effects on anisotropy, while the scanning angle and shape memory temperature suggest the opposite.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Materials and Mechanics · Additive Manufacturing and 3D Printing Technologies · Innovations in Concrete and Construction Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Industrial Engineering, Pennsylvania State University, Erie, Pennsylvania, USA.

Department of Industrial and Systems Engineering, North Carolina Agricultural and Technical State University, North Carolina, USA.

Department of Mechanical and Industrial Engineering, University of Illinois Chicago, Illinois, USA.

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