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Naian Liu

Researcher at University of Science and Technology of China

Publications -  131
Citations -  2474

Naian Liu is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Fire whirl & Combustion. The author has an hindex of 24, co-authored 118 publications receiving 1836 citations. Previous affiliations of Naian Liu include Tsinghua University.

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Kinetic modeling of thermal decomposition of natural cellulosic materials in air atmosphere

TL;DR: In this article, a simple kinetic description, named as "First Order Pseudo Bi-component Separate-stage Model (PBSM-O1)" is developed based on the experimental results and integral analysis method.
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Burn-out time data analysis on interaction effects among multiple fires in fire arrays

TL;DR: In this article, an experimental and methodological investigation on the behaviors of square fire arrays which are composed of 3.5 to 7.7 n-heptane fires initiated from fuel pans of 5 cm in diameter and 2 cm in height is presented.
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Global burning rate of square fire arrays: Experimental correlation and interpretation

TL;DR: In this paper, a quantitative description and interpretation of the global burning rate for square fire arrays consisting of multiple equidistant fires is presented, and the global average burning rate is extracted from burnout time data, and is intimately connected with fire spacing and fire array size in a complex way.
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Experimental research on combustion dynamics of medium-scale fire whirl

TL;DR: The medium-scale fire whirl was extensively investigated by experimental means, in order to establish correlations of the burning rate, flame height and flame temperature of fire WHR, and to clarify the difference between fire WHRs and general pool fires.
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Ignition of expandable polystyrene foam by a hot particle: An experimental and numerical study

TL;DR: A numerical model taking into account the reactant consumption and volatiles convection of expandable polystyrene decomposition in air shows that the model can predict the range of critical ignition temperatures reasonably well.