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ECB-ART-52744
Soft Robot 2024 Jan 08; doi: 10.1089/soro.2023.0043.
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Effective On-Line Performance Modulation and Efficient Continuous Preparation of Ultra-Long Twisted and Coiled Polymer Artificial Muscles for Engineering Applications.

Li Q , Cheng M , Wu M .


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Artificial muscle is a kind of thread-like actuator that can produce contractile strain, generate force, and output mechanical work under external stimulations to imitate the functions and achieve the performances of biological muscles. It can be used to actuate various bionic soft robots and has broad application prospects. The electrically controlled twisted and coiled polymer (TCP) artificial muscles, with the advantages of high power density, large stroke and low driving voltage, while also being electrolyte free, are the most practical. However, the relationship between the muscle performances and its preparation parameters is not very clear yet, and the complete procedure of designing and preparing TCP muscles according to actual needs has not been established. Besides, current preparation approaches are very time-consuming and cannot make ultra-long TCP muscles. These problems greatly limit wide applications of TCP artificial muscles. In this study, we studied and built the relationship between the actuating performances of TCP muscles and their preparation parameters, so that suitable TCP muscles can be easily designed and prepared according to actual requirements. Moreover, an efficient preparation method integrating one-step annealing technique has been developed to realize on-line performance modulation and continuous fabrication of ultra-long TCP muscles. By graphically assembling long muscles on heat-resist films, we designed and produced a series of fancy soft robots (butterfly, flower, starfish), which can perform various bionic movements and complete specific tasks. This work has achieved efficient on-demand preparation and large-scale assembly of ultra-long TCP muscles, laying solid foundations for their engineering applications in soft robot field.

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