C
Cheng Wang
Researcher at University of New South Wales
Publications - 30
Citations - 752
Cheng Wang is an academic researcher from University of New South Wales. The author has contributed to research in topics: Combustion & Ultimate tensile strength. The author has an hindex of 11, co-authored 30 publications receiving 446 citations. Previous affiliations of Cheng Wang include Hohai University.
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Journal ArticleDOI
Sensitivity analysis of key parameters for population balance based soot model for low-speed diffusion flames
Cheng Wang,Anthony Chun Yin Yuen,Qing Nian Chan,Timothy Bo Yuan Chen,Wei Yang,Sherman C.P. Cheung,Guan Heng Yeoh +6 more
TL;DR: In this article, the evolution of in-flame soot species in a slow speed, buoyancy-driven diffusion flame is thoroughly studied with the implementation of the population balance approach in association with computational fluid dynamics (CFD) techniques.
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Functionalization of MXene Nanosheets for Polystyrene towards High Thermal Stability and Flame Retardant Properties.
Jing-Yu Si,Benjamin Tawiah,Wei-Long Sun,Bo Lin,Cheng Wang,Anthony Chun Yin Yuen,Bin Yu,Ao Li,Wei Yang,Wei Yang,Hongdian Lu,Qing Nian Chan,Guan Heng Yeoh +12 more
TL;DR: The modified MXene nanosheets enhanced the flame-retardant properties of PS and the thermal stability properties of cationic modified Ti3C2/PS nanocomposites were improved considerably.
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BODIPY coated on MXene nanosheets for improving mechanical and fire safety properties of ABS resin
San-E Zhu,Fen-Dou Wang,Jun-Jie Liu,Li-Li Wang,Cheng Wang,Anthony Chun Yin Yuen,Timothy Bo Yuan Chen,Imrana I. Kabir,Guan Heng Yeoh,Hongdian Lu,Wei Yang +10 more
TL;DR: In this article, boron dipyrromethene (BODIPY) modified MXene (Ti3C2Tx) nanosheets were prepared and utilized as a flame retardant for ABS.
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Functionalization with MXene (Ti3C2) Enhances the Wettability and Shear Strength of Carbon Fiber-Epoxy Composites
TL;DR: In this article, a two-dimensional transition metal carbide or carbonitride with graphene-like 2D morphology and high surface activity is proposed for energy storage, catalysis, and adsorptio...
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Utilising genetic algorithm to optimise pyrolysis kinetics for fire modelling and characterisation of chitosan/graphene oxide polyurethane composites
Anthony Chun Yin Yuen,Timothy Bo Yuan Chen,Cheng Wang,W. Wei,Imrana I. Kabir,J.B. Vargas,Qing Nian Chan,Sanghoon Kook,Guan Heng Yeoh,Guan Heng Yeoh +9 more
TL;DR: In this article, a fire assessment model has been developed to provide a better understanding of the flame propagation, toxic gases and smoke generations of polymer composites, which is capable of predicting and visualising fire development and emitting gas volatiles.