4D-Printed Liquid Crystal Elastomers: Printing Strategies, Actuation Mechanisms, and Emerging Applications

Mehrab Hasan, Yingtao Liu · MDPI AG · 2025

This review explores 4D-printed liquid crystal elastomers, highlighting their actuation mechanisms and potential applications in soft robotics and biomedical engineering.

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Plain English summary

Liquid crystal elastomers (LCEs) are smart materials known for their ability to change shape in response to external stimuli. This paper reviews advancements in 4D printing techniques for LCEs, which allow for programmable shape transformations over time. The authors discuss various printing methods and their impact on the performance of LCE actuators used in applications like soft robotics and biomedical devices.

Why this matters

The research addresses the growing need for materials that can adapt and respond to their environment, particularly in fields like soft robotics and healthcare. By improving the manufacturing processes and understanding the capabilities of LCEs, this work could lead to innovative solutions in medical devices and robotics, enhancing functionality and user experience.

Key findings

  • LCEs can undergo large, reversible deformations under external stimuli.
  • 4D printing enables programmable shape transformations.
  • Direct ink writing and vat photopolymerization are key fabrication methods.
  • LCE actuators have diverse functionalities in soft robotics.
  • Challenges include biocompatibility, durability, and scalability.

What's new

The paper highlights the advancements in 4D printing techniques for LCEs and their unique capabilities compared to traditional methods.

Limitations

The review acknowledges ongoing challenges in biocompatibility, long-term durability, and manufacturing scalability of LCEs.

Commercial context

The abstract does not provide information on commercial availability or readiness.

Publication

Publisher
MDPI AG
Publication date
November 13, 2025
Research type
Paper
License
https://creativecommons.org/licenses/by/4.0/

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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