Q
Qizhao Lin
Researcher at University of Science and Technology of China
Publications - 146
Citations - 2129
Qizhao Lin is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Combustion & Chemistry. The author has an hindex of 18, co-authored 127 publications receiving 1114 citations. Previous affiliations of Qizhao Lin include University of Science and Technology.
Papers
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Journal ArticleDOI
Co-pyrolysis of sewage sludge and rice husk by TG–FTIR–MS: Pyrolysis behavior, kinetics, and condensable/non-condensable gases characteristics
TL;DR: In this paper, pyrolysis behavior, kinetics, and condensable/non-condensable gases characteristics were evaluated using Thermogravimetric-Fourier transform infrared spectrometry (TG-FTIR-MS).
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Typical crystal face effects of different morphology ceria on the activity of Pd/CeO2 catalysts for lean methane combustion
Yanyan Lei,Wenzhi Li,Qingchuan Liu Qingchuan Liu,Qingchuan Liu Qingchuan Liu,Qizhao Lin,Xusheng Zheng,Qifu Huang,Shengnan Guan,Xinhua Wang,Chengxin Wang,Fengyu Li +10 more
TL;DR: In this paper, the catalytic performance of simple CeO2 carriers was ranked in the order of rod-CeO2(r-cceO2) for lean methane (CH4) combustion, and the results of XRD, HRTEM, EDS, H2-TPR, XPS and elemental mapping showed that the Pd species in the form of Pd0 and PdO were highly dispersed on surface of all CeO 2 carriers.
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Pyrolysis characteristics, artificial neural network modeling and environmental impact of coal gangue and biomass by TG-FTIR.
TL;DR: The ANN18 model is the best model for predicting the co-pyrolysis of CG and PS and was established and used to predict thermogravimetric experimental data.
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An experimental study of ignition and combustion of single biomass pellets in air and oxy-fuel
TL;DR: In this paper, an experimental investigation of the ignition and combustion characteristics of single biomass pellets in air and O 2 /CO 2 atmospheres containing 21, 30, 40, 50% and 100% oxygen mole fractions is presented.
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Thermodynamics, kinetics, gas emissions and artificial neural network modeling of co-pyrolysis of sewage sludge and peanut shell
TL;DR: In this article, the co-pyrolysis characteristics of sewage sludge (SS) and peanut shell (PS) under nitrogen atmosphere were studied by thermogravimetric -FTIR and artificial neural network (ANN).