Kun Dai mainly investigates Composite material, Carbon nanotube, Electrical conductor, Thermoplastic polyurethane and Nanocomposite. His Composite material study frequently draws connections to adjacent fields such as Percolation threshold. His Carbon nanotube study combines topics from a wide range of disciplines, such as Ultimate tensile strength, Thermal stability, Polyamide and Deformation.
As a part of the same scientific study, Kun Dai usually deals with the Thermoplastic polyurethane, concentrating on Graphene and frequently concerns with Polymer chemistry. His study looks at the relationship between Nanocomposite and fields such as Polyurethane, as well as how they intersect with chemical problems. His Carbon black study also includes fields such as
His main research concerns Composite material, Carbon nanotube, Electrical conductor, Composite number and Carbon black. His study focuses on the intersection of Composite material and fields such as Percolation threshold with connections in the field of Dispersion. The Carbon nanotube study combines topics in areas such as Bending, Nanocomposite, Epoxy and Deformation.
His research in Electrical conductor intersects with topics in Durability, EMI, Polydimethylsiloxane, Electrical resistivity and conductivity and Conductive polymer composite. He has included themes like Temperature coefficient, Polyethylene, Polypropylene and Capillary action in his Carbon black study. His research integrates issues of Porosity, Piezoresistive effect and Graphene in his study of Thermoplastic polyurethane.
Kun Dai spends much of his time researching Composite material, Electrical conductor, Carbon nanotube, Composite number and Thermoplastic polyurethane. His Composite material study combines topics in areas such as Electrical resistivity and conductivity and Graphene. His Electrical conductor study integrates concerns from other disciplines, such as EMI and Optoelectronics.
He combines subjects such as Dielectric loss, Polyimide and Reflection loss with his study of Carbon nanotube. His work deals with themes such as Ultimate tensile strength, Thermal conductivity, Electromagnetic interference, Polymer and Electromagnetic shielding, which intersect with Composite number. He works mostly in the field of Thermoplastic polyurethane, limiting it down to topics relating to Piezoresistive effect and, in certain cases, Percolation threshold.
Kun Dai mainly investigates Composite material, Graphene, Electromagnetic interference, EMI and Electromagnetic shielding. His work in the fields of Composite material, such as Thermoplastic polyurethane, intersects with other areas such as Gauge factor. His Thermoplastic polyurethane research is multidisciplinary, relying on both Porosity and Carbon black.
The various areas that Kun Dai examines in his Graphene study include Biocompatibility, Durability and Electrospinning. His Electromagnetic interference research incorporates elements of Electrical conductor, Optoelectronics, Composite number and Carbon nanotube. His Carbon nanotube research integrates issues from Ultimate tensile strength, Electromagnetic interference shielding and Polyimide.
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Lightweight conductive graphene/thermoplastic polyurethane foams with ultrahigh compressibility for piezoresistive sensing
Hu Liu;Hu Liu;Mengyao Dong;Wenju Huang;Jiachen Gao.
Journal of Materials Chemistry C (2017)
Electrically conductive thermoplastic elastomer nanocomposites at ultralow graphene loading levels for strain sensor applications
Hu Liu;Yilong Li;Kun Dai;Guoqiang Zheng.
Journal of Materials Chemistry C (2016)
Electrically conductive strain sensing polyurethane nanocomposites with synergistic carbon nanotubes and graphene bifillers
Hu Liu;Hu Liu;Jiachen Gao;Wenju Huang;Kun Dai.
Electrically conductive polymer composites for smart flexible strain sensors: a critical review
Hu Liu;Hu Liu;Qianming Li;Shuaidi Zhang;Rui Yin.
Journal of Materials Chemistry C (2018)
Continuously prepared highly conductive and stretchable SWNT/MWNT synergistically composited electrospun thermoplastic polyurethane yarns for wearable sensing
Yahong Li;Bing Zhou;Guoqiang Zheng;Xianhu Liu.
Journal of Materials Chemistry C (2018)
Flexible electrically resistive-type strain sensors based on reduced graphene oxide-decorated electrospun polymer fibrous mats for human motion monitoring
Yalong Wang;Ji Hao;Zhenqi Huang;Guoqiang Zheng.
The effect of filler dimensionality on the electromechanical performance of polydimethylsiloxane based conductive nanocomposites for flexible strain sensors
Yanjun Zheng;Yilong Li;Zeyu Li;Yalong Wang.
Composites Science and Technology (2017)
Carbon Nanotubes-Adsorbed Electrospun PA66 Nanofiber Bundles with Improved Conductivity and Robust Flexibility.
Xiaoyang Guan;Guoqiang Zheng;Kun Dai;Chuntai Liu.
ACS Applied Materials & Interfaces (2016)
Electrically conductive carbon black (CB) filled in situ microfibrillar poly(ethylene terephthalate) (PET)/polyethylene (PE) composite with a selective CB distribution
Kun Dai;Xiang-Bin Xu;Zhong-Ming Li.
A highly stretchable and stable strain sensor based on hybrid carbon nanofillers/polydimethylsiloxane conductive composites for large human motions monitoring
Yanjun Zheng;Yilong Li;Kun Dai;Kun Dai;Yan Wang.
Composites Science and Technology (2018)
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