C
Cheng Yan
Researcher at Queensland University of Technology
Publications - 435
Citations - 14332
Cheng Yan is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Graphene & Anode. The author has an hindex of 48, co-authored 383 publications receiving 10453 citations. Previous affiliations of Cheng Yan include Dalian University of Technology & Harbin Institute of Technology.
Papers
More filters
Journal ArticleDOI
Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor
TL;DR: In this article, a strain sensor was fabricated from a polymer nanocomposite with multiwalled carbon nanotube (MWNT) fillers, and the authors investigated the piezoresistivity of this strain sensor based on an improved three-dimensional (3D) statistical resistor network model incorporating the tunneling effect between the neighboring CNTs, and a fiber reorientation model.
Tunneling effect in a polymer/carbon nanotube nanocompositestrain sensor
TL;DR: In this paper, a strain sensor was fabricated from a polymer nanocomposite with multiwalled carbon nanotube (MWNT) fillers, and the piezoresistivity of the sensor was investigated based on an improved three-dimensional (3D) statistical resistor network.
Journal ArticleDOI
Investigation on sensitivity of a polymer/carbon nanotube composite strain sensor
Ning Hu,Yoshifumi Karube,Masahiro Arai,Tomonori Watanabe,Cheng Yan,Cheng Yan,Yuan Li,Yaolu Liu,Hisao Fukunaga +8 more
TL;DR: In this paper, an improved three-dimensional statistical resistor network model incorporating the tunneling effect between the neighbouring nanotubes, and a fiber reorientation model was used to understand the effects of processing parameters and material properties on sensor sensitivity in polymer/carbon nanotube composite sensors.
Journal ArticleDOI
The electrical properties of polymer nanocomposites with carbon nanotube fillers
TL;DR: The electrical properties of polymer nanocomposites containing a small amount of carbon nanotube (CNT) are remarkably superior to those of conventional electronic composites, based on three-dimensional (3D) statistical percolation and 3D resistor network modeling.
The electrical properties of polymer nanocomposites with carbon nanotube fillers
TL;DR: In this article, the electrical properties of polymer nanocomposites containing a small amount of carbon nanotube (CNT) were successfully predicted based on three-dimensional (3D) statistical percolation and 3D resistor network modeling.