Development, Experimental, and Numerical Characterisation of Novel Flexible Strain Sensors for Soft Robotics Applications

Nnadi, Sylvester Ndidiamaka and Ajadalu, Ivor and Rahmani, Amir and Aliyu, Aliyu and Elgeneidy, Khaled and Montazeri, Allahyar and Sohani, Behnaz (2024) Development, Experimental, and Numerical Characterisation of Novel Flexible Strain Sensors for Soft Robotics Applications. Robotics, 13 (7): 103. ISSN 2218-6581

Full text not available from this repository.

Abstract

Medical and agricultural robots that interact with living tissue or pick fruit require tactile and flexible sensors to minimise or eliminate damage. Until recently, research has focused on the development of robots made of rigid materials, such as metal or plastic. Due to their complex configuration, poor spatial adaptability and low flexibility, rigid robots are not fully applicable in some special environments such as limb rehabilitation, fragile objects gripping, human–machine interaction, and locomotion. All these should be done in an accurate and safe manner for them to be useful. However, the design and manufacture of soft robot parts that interact with living tissue or fragile objects is not as straightforward. Given that hyper-elasticity and conductivity are involved, conventional (subtractive) manufacturing can result in wasted materials (which are expensive), incompatible parts due to different physical properties, and high costs. In this work, additive manufacturing (3D printing) is used to produce a conductive, composite flexible sensor. Its electrical response was tested based on various physical conditions. Finite element analysis (FEA) was used to characterise its deformation and stress behaviour for optimisation to achieve functionality and durability. Also, a nonlinear regression model was developed for the sensor’s performance.

Item Type:
Journal Article
Journal or Publication Title:
Robotics
ID Code:
222411
Deposited By:
Deposited On:
22 Jul 2024 15:10
Refereed?:
Yes
Published?:
Published
Last Modified:
09 Oct 2024 12:13