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A 4D-Printing Inverse Design Strategy for Micromachines with Customized Shape-Morphing.

Jingang Wang1,2,3, Yuzhao Zhang1,2,3, Jianchen Zheng1,2,3

  • 1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.

Small (Weinheim an Der Bergstrasse, Germany)
|June 22, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed a reverse design strategy for 4D printing smart heterostructures. This method enables customized shape morphing in biomimetic micromachines, like microcrawlers, for precise functional control.

Keywords:
4D-printingcustomized shape-morphinginverse designmicromachinessmart materials

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Area of Science:

  • Materials Science
  • Robotics
  • Microengineering

Background:

  • Active heterostructures with smart materials offer programmable deformation in response to stimuli.
  • 4D printing with two-photon polymerization allows microscale material definition but challenges customized micromachine design.
  • Achieving precise shape morphing in microscale machines requires advanced design strategies.

Purpose of the Study:

  • To propose a reverse design strategy for guiding the structural design of biomimetic micromachines.
  • To develop a reverse design algorithm based on the Timoshenko model for microscale shape morphing.
  • To demonstrate the capability of the proposed method in creating functional bionic microrobots.

Main Methods:

  • A reverse design strategy utilizing multi-material stepwise 4D printing was developed.
  • A reverse design algorithm inspired by the piecewise constant curvature model and based on the Timoshenko model was created.
  • The algorithm approximates 2D features to a constant-curvature model and determines material distribution for printing.

Main Results:

  • Three biomimetic Chinese 'Long' (dragons) were designed and successfully deformed to customized shapes.
  • A microcrawler capable of imitating an inchworm gait was fabricated using the developed method.
  • The strategy proved effective in achieving predetermined functions through shape design of bionic soft microrobots.

Conclusions:

  • The proposed reverse design strategy and algorithm are efficient for designing bionic soft microrobots.
  • This method enables precise control over shape morphing and functionality at the microscale.
  • The approach facilitates the creation of customized micromachines with complex behaviors.