Process‐Structure‐Morphing Coupling in Thermally Activated <scp>ABS 4D</scp> Printing

Grigorios Kostopoulos, Stelios K. Georgantzinos · Wiley · 2026

This study develops a predictive framework for thermally induced shape-morphing in 4D-printed ABS materials.

High AI ConfidenceStrong SourceLaboratory ResearchEarly Research

Plain English summary

The research investigates how 4D-printed Acrylonitrile Butadiene Styrene (ABS) beams respond to thermal activation, focusing on the factors that influence their shape-morphing behavior. A combination of experimental testing and finite element modeling was used to identify key manufacturing parameters, such as nozzle temperature, that significantly affect the deformation response.

Why this matters

Understanding how to control the shape-morphing behavior of materials like ABS can lead to advancements in 4D printing technology, enabling the creation of smart materials that can change shape in response to temperature. This has potential applications in various fields, including manufacturing and design, where adaptive structures are beneficial.

Key findings

  • Nozzle temperature is the dominant factor affecting deformation response.
  • Activation temperature and layer height also significantly influence arc length.
  • Regression models achieved high R² values for deformation responses.
  • Finite element modeling reproduced experimental deformation profiles with good agreement.
  • The study supports the use of ABS for one-way thermally activated morphing.

What's new

The study presents a predictive framework that combines experimental parameter screening with finite element modeling for thermally induced morphing in 4D-printed ABS.

Limitations

The abstract does not mention the practical applications of the findings or the scalability of the proposed methods.

Commercial context

The research is still in the laboratory phase and does not indicate commercial availability.

Publication

Publisher
Wiley
Publication date
July 4, 2026
Research type
Paper
License
http://creativecommons.org/licenses/by/4.0/

Tags

Industries

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18