Pyrolytic characteristics, kinetics, thermodynamics, volatile products and chemical reactions of micron polypropylene infiltrated with kerosene

Liu, Yitao; Zhao, Zhiyuan; Chen, Ruiyu; Xu, Xiaokang

doi:10.1016/j.jaap.2023.105939

Cited by 4 publications

(5 citation statements)

References 29 publications

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“…As shown in Figure 2 and on the basis of the research experience conducted by Liu et al, 10 the thermal degradation process of PMMA infiltrated with kerosene may be divided into three stages: (1) Stage 1: the evaporation of kerosene, (2) Stage 2: the evaporation of kerosene and the thermal degradation of some PMMA, (3) Stage 3: the thermal degradation of PMMA. The thermal degradation behaviors of solid materials (such as the third stage in this study) is always predicted using traditional kinetic methods.…”

Section: Resultsmentioning

confidence: 99%

“…According to Equation ( 6), the single hidden layer ANN with the number of neurons from 2 to 12 is firstly employed to predict the pyrolysis process with different kerosene mass fractions at fixed heating rate. The experimental data with various kerosene mass fractions at constant heating rate (5,10,15,20,30, and 40 C/min) are divided into two groups. Therein, 70%, 20%, and 10% of the experimental rate data with the kerosene mass fractions of 5%, 20%, and 30% at each heating rate are used as the training, validation, and test data sets, respectively.…”

Section: Numbermentioning

confidence: 99%

“…However, they did not investigate the thermal degradation behaviors of wet wood powder infiltrated with different diesel contents, so the influence mechanism of diesel contents on the combustion characteristics of wet wood powder cannot be revealed in depth. Liu et al 10 investigated the thermal degradation behaviors of micron polypropylene (PP) infiltrated with different kerosene mass fractions at different heating rates in nitrogen. The results showed that the pyrolysis process of micron PP infiltrated with kerosene can be divided into two stages: (1) the evaporation of kerosene and (2) the thermal degradation of micron PP.…”

Section: Introductionmentioning

confidence: 99%

“…Motivation to employ ANN to predict the thermal degradation of PMMA infiltrated with keroseneAs shown in Figure2and on the basis of the research experience conducted by Liu et al,10 the thermal degradation process of PMMA infiltrated with kerosene may be divided into three stages: (1) Stage 1: the evaporation of kerosene, (2) Stage 2: the evaporation of kerosene and…”

mentioning

confidence: 99%

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Prediction of entire thermal degradation process of polymethyl methacrylate infiltrated with kerosene by a modified artificial neural network

Wu,

Zhao,

Chen

et al. 2023

Vinyl Additive Technology

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Predicting the entire thermal degradation process of solid combustibles infiltrated with flammable liquids is a challenge at present. In the current study, a novel artificial neural network (ANN) framework containing data preprocessing, data normalization and data transformation is proposed to predict the entire thermal degradation process of polymethyl methacrylate infiltrated with kerosene at three scenarios: (1) fixed kerosene mass fraction with various heating rates, (2) fixed heating rate with various kerosene mass fractions, and (3) various kerosene mass fractions with various heating rates. The entire thermal degradation process of scenario (1) can be accurately predicted using the ANN with 2‐4‐2‐1 topology. Using the data transformation formula exp(x1(1 + x2) to generate a new input variable based on temperature and kerosene mass fraction, a new ANN with 3‐4‐2‐1 topology can accurately predict the entire thermal degradation process of scenario (2). Two new input variables are generated using the data transformation formula 1/(1 + log((1 + x1)(1 + x2))) based on two data sets: (1) kerosene mass fraction and temperature, and (2) heating rate and temperature. The new ANN with 5‐4‐2‐1 topology can accurately predict the entire thermal degradation process at all three scenarios. The new ANN with Levenberg–Marquardt training function and Tanh activation function possesses the best prediction performance.Highlights Data preprocessing can significantly improve the prediction accuracy of ANN. ANN with a suitable hidden layer structure has high prediction accuracy. The new ANN can predict the entire pyrolysis process in various scenarios. ANN with LM and Tanh has the highest prediction accuracy.

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Section: Resultsmentioning

confidence: 99%

Section: Numbermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Prediction of entire thermal degradation process of polymethyl methacrylate infiltrated with kerosene by a modified artificial neural network

Wu,

Zhao,

Chen

et al. 2023

Vinyl Additive Technology

Self Cite

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show abstract

“…The CR method could calculate the reaction kinetic parameters after obtaining the reaction model. [47][48][49] Tables 3 and 4 show the equations for these five methods.…”

Section: Kinetic Methodsmentioning

confidence: 99%

Study on the pyrolysis characteristics, kinetics, thermodynamics, volatile products, and chemical reactions of micron polyamide waste, a typical marine plastic microfragment

Liu,

Zheng,

et al. 2024

Polymer Engineering & Sci

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The pollution of waste plastic microfragments to the marine ecosystems is an increasingly serious problem. Pyrolysis is widely recognized as a viable technique for the treatment of such plastic waste materials. The pyrolysis behaviors, characteristic parameters, kinetics, thermodynamics, volatiles, and possible chemical reactions during the pyrolysis of micron polyamide waste (the main component of fishing gear abandoned in the marine environment) are studied in inert atmosphere in the present work. The results show that the pyrolysis of micron polyamide may be regarded as a one‐step reaction. The peak and average reaction rates decrease significantly when the heating rate increases. The calculated kinetic parameters can effectively predict the pyrolysis behaviors of micron polyamide. The pyrolysis of micron polyamide is characterized as an endothermic reaction that occurs non‐spontaneously. Furthermore, the information of volatiles was obtained. The volatiles with higher content were –CH2 groups, CO2, and lactam, and the volatiles with smaller content were: –NH groups, NH3, HCN, H2O, CO, and amide derivatives. In addition, an analysis was conducted to explore the potential chemical reactions.Highlights The pyrolysis of micron polyamide can be considered as a one‐step reaction. The obtained kinetic parameters can well predict the pyrolysis process. Pyrolysis of micron polyamide is a non‐spontaneous and endothermic reaction. Specific volatile products are determined by Fourier transform infrared and mass spectrometry. The chemical reactions that may occur during the pyrolysis have been inferred.

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Impact of pretreatment with photocatalysis sequential coupling Fenton oxidation on physicochemical properties, pyrolysis behaviors, and product distribution of walnut shell

Wang,

Liu,

et al. 2024

Chemical Engineering Journal

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Pyrolytic characteristics, kinetics, thermodynamics, volatile products and chemical reactions of micron polypropylene infiltrated with kerosene

Cited by 4 publications

References 29 publications

Prediction of entire thermal degradation process of polymethyl methacrylate infiltrated with kerosene by a modified artificial neural network

Prediction of entire thermal degradation process of polymethyl methacrylate infiltrated with kerosene by a modified artificial neural network

Study on the pyrolysis characteristics, kinetics, thermodynamics, volatile products, and chemical reactions of micron polyamide waste, a typical marine plastic microfragment

Impact of pretreatment with photocatalysis sequential coupling Fenton oxidation on physicochemical properties, pyrolysis behaviors, and product distribution of walnut shell

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