Literature DB >> 35730498

Electrically driven liquid crystal network actuators.

Yao-Yu Xiao1, Zhi-Chao Jiang1, Jun-Bo Hou1, Xin-Shi Chen1, Yue Zhao1.   

Abstract

Soft actuators based on liquid crystal networks (LCNs) have aroused great scientific interest for use as stimuli-controlled shape-changing and moving components for robotic devices due to their fast, large, programmable and solvent-free actuation responses. Recently, various LCN actuators have been implemented in soft robotics using stimulus sources such as heat, light, humidity and chemical reactions. Among them, electrically driven LCN actuators allow easy modulation and programming of the input electrical signals (amplitude, phase, and frequency) as well as stimulation throughout the volume, rendering them promising actuators for practical applications. Herein, the progress of electrically driven LCN actuators regarding their construction, actuation mechanisms, actuation performance, actuation programmability and the design strategies for intelligent systems is elucidated. We also discuss new robotic functions and advanced actuation control. Finally, an outlook is provided, highlighting the research challenges faced with this type of actuator.

Entities:  

Year:  2022        PMID: 35730498     DOI: 10.1039/d2sm00544a

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  1 in total

1.  Variable Stiffness Conductive Composites by 4D Printing Dual Materials Alternately.

Authors:  Fei Long; Gaojie Xu; Jing Wang; Yong Ren; Yuchuan Cheng
Journal:  Micromachines (Basel)       Date:  2022-08-19       Impact factor: 3.523

  1 in total

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