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Predicting tobacco pyrolysis based on chemical constituents and heating conditions using machine learning approaches

Using mahcine learning algorithm to model pyrolysis with a differential layer for imporving accuracy of model.

Hao Wei, Jiangkuan Xing, Kun Luo, Yuhan Peng

Predicting tobacco pyrolysis based on chemical constituents and heating conditions using machine learning approaches

Toba-CPD: An Extended Chemical Percolation Devolatilization Model for Tobacco Pyrolysis

proposing an optimization algorithm named ``grid-search optimization strategy" to modify a pyrolysis model for tobacco.

Hao Wei, Yuhan Peng, Hua Huang, Jianren Fan

Toba-CPD: An Extended Chemical Percolation Devolatilization Model for Tobacco Pyrolysis

Predicting co-pyrolysis of coal and biomass using machine learning approaches

Establishing co-pyrolysis model based on machine learning algorithm, which is the key model for gas-soild reaction flow.

Hao Wei, Kun Luo, Jiangkuan Xing, Jianren Fan

Predicting co-pyrolysis of coal and biomass using machine learning approaches

C O_{2}

on the lower flammability limit of

C_{3} H_{8}

O_{2} / C O_{2}

atmosphere at high temperature and pressure

Building a simple physics-based algorithm to model a complicated property (flammability limit under high

O_{2}

Hao Wei, Xianzhong Hu, Bingrong Huang

The effect of $CO_2$ on the lower flammability limit of $C_3H_8$ in $O_2/CO_2$ atmosphere at high temperature and pressure

Experimental investigation of laminar flame speeds of propane in

O_{2} / C O_{2}

atmosphere and kinetic simulation

Using model to solving 1-D Navier-Stokes equations with species transport for compressible gas, and comparing with the experimental results.

Xianzhong Hu, Hao Wei

Experimental investigation of laminar flame speeds of propane in $O_2/CO_2$ atmosphere and kinetic simulation