Original scientific paper

Prediction of carbon black/carbon nanotube reinforced polydimethylsiloxane properties based on BP neural network

Z. X. Li ; School of Mechanical Engineering North China University of Science and Technology, Tangshan, Hebei, China *
Z. P. Liu ; School of Mechanical Engineering North China University of Science and Technology, Tangshan, Hebei, China
J. T. Yu ; School of Mechanical Engineering North China University of Science and Technology, Tangshan, Hebei, China

* Corresponding author.

Abstract

Sensory structure integration is the future development trend of flexible robots. At present, polydimethylsiloxane (PDMS) is often used as the main structural material for flexible robots, in which the addition of conductive fillers can achieve the perception of external forces and temperature. Therefore, it is of great research value to explore the roadwriting properties of doped PDMS. This paper focuses on the mechanical properties of carbon black (CB)/carbon nanotubes (CNTs) doped PDMS on the line, aiming to promote the development of flexible robot industry.

Keywords

polydimethylsiloxane; carbon black; Young’s modulus; tensile test; neural network

Hrčak ID:

319864

URI

https://hrcak.srce.hr/319864

Publication date:

1.1.2025.

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