Optimization of hydraulically amplified electrostatic actuators based on an evolutionary strategy and finite element model to match the performance of the human triceps surae muscle fibres

Zhaozhen Liu; Harrison McAleese; Andrew Weightman; Glen Cooper

doi:10.1016/j.eml.2023.102050

Optimization of hydraulically amplified electrostatic actuators based on an evolutionary strategy and finite element model to match the performance of the human triceps surae muscle fibres

Zhaozhen Liu
, Harrison McAleese
, Andrew Weightman
, Glen Cooper

Department of Mechanical and Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

Original language	Undefined
Journal	Extreme Mechanics Letters
DOIs	https://doi.org/10.1016/j.eml.2023.102050
Publication status	Published - Sept 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1016/j.eml.2023.102050

Cite this

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title = "Optimization of hydraulically amplified electrostatic actuators based on an evolutionary strategy and finite element model to match the performance of the human triceps surae muscle fibres",

author = "Zhaozhen Liu and Harrison McAleese and Andrew Weightman and Glen Cooper",

year = "2023",

month = sep,

doi = "10.1016/j.eml.2023.102050",

language = "Undefined",

journal = "Extreme Mechanics Letters",

issn = "2352-4316",

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TY - JOUR

T1 - Optimization of hydraulically amplified electrostatic actuators based on an evolutionary strategy and finite element model to match the performance of the human triceps surae muscle fibres

AU - Liu, Zhaozhen

AU - McAleese, Harrison

AU - Weightman, Andrew

AU - Cooper, Glen

PY - 2023/9

Y1 - 2023/9

UR - https://doi.org/10.1016/j.eml.2023.102050

U2 - 10.1016/j.eml.2023.102050

DO - 10.1016/j.eml.2023.102050

M3 - Article

SN - 2352-4316

JO - Extreme Mechanics Letters

JF - Extreme Mechanics Letters

ER -

Optimization of hydraulically amplified electrostatic actuators based on an evolutionary strategy and finite element model to match the performance of the human triceps surae muscle fibres

UN SDGs

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