Temperature- and heating rate-dependent pyrolysis mechanisms and emissions of Chinese medicine residues and numerical reconstruction and optimization of their non-linear dynamics
Temperature- and heating rate-dependent pyrolysis mechanisms and emissions of Chinese medicine residues and numerical reconstruction and optimization of their non-linear dynamics
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DOI：
10.1016/j.renene.2020.10.095
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发表时间：
2021-02-01
期刊：
影响因子：
8.7
通讯作者：
Li, Weixin
中科院分区：
文献类型：
--
作者：
Chen, Zhiyun;Chen, Huashan;Li, Weixin
本研究基于热解特性、动力学和热力学参数以及演化气体分析对中药残渣（CMR）进行定量分析，并利用人工神经网络（ANN）对热解过程进行重构和联合优化。CMR的主要失重区间为150 ~ 600℃，包括有机物分解。提供了四种无模型方法和一种模型拟合方法来寻找作用机理和动力学参数，表明热解存在动力学补偿。TG-FTIR发现气体和官能团包括CO2， C=O, H2O, CH4， CO， C=C和C-O。主要热解产物有酯类、酚类和酸类等，9-十八烯酸(z)-、甲酯为其中的优质产物，所占比例最高，约为53.75%。利用人工神经网络算法重构了多个热解响应面的温度-、升温速率-及其非线性动力学，并对其进行了联合优化。最后，为中药残留的高价值利用提供参考。(c) 2020 Elsevier Ltd.版权所有。
The study bases on the pyrolysis characteristic, kinetic, and thermodynamic parameters and evolved gas analysis to quantity Chinese medicine residues (CMR) and uses artificial neural network (ANN) to reconstruct and jointly optimize pyrolysis. The main weightlessness interval of CMR is between 150 and 600 degrees C including organic matter decomposition. Four model-free methods and one model-fitting method were provided to find function mechanisms and kinetic parameters show it existing kinetic compensation through pyrolysis. TG-FTIR finds the gases and functional groups included CO2, C=O, H2O, CH4, CO, C=C, and C-O. And the main pyrolytic products were detected included esters, phenols and acids et al. 9-octadecenoic acid (z)-, methyl ester as one of the high quality products was in the highest proportion about 53.75%. The temperature-, heating rate-, and their non-linear dynamics of the multiple pyrolysis response surfaces were reconstructed and jointly optimized using an artificial neural network algorithm. Finally, the study is helpful for Chinese medicine residues high-value utilization. (c) 2020 Elsevier Ltd. All rights reserved.