基于三种算法的瓜子壳热解动力学分析

采用热失重法研究瓜子壳在氮气气氛中的热解过程，结果显示：瓜子壳在50℃/min的升温速率下主要热失重区间为167~427℃，最大失重速率发生在354.42℃，达42.9%/min。将瓜子壳参与反应的物质分为伪纤维素、伪半纤维素和伪木质素，假设瓜子壳在热解过程中由3个独立互不影响的平行反应而成，分别运用遗传算法（GA）、非线性最小二乘法（NLS）、高斯拟合-遗传算法（GGA）建立瓜子壳热解动力学模型，对瓜子外壳在热解过程中的动力学参数求解。结果表明：GGA算法性能最优，模拟DTG曲线与实验数据偏离度最小，仅为1.12%；与GA相比，其迭代次数少且计算稳定；与NLS相比，其计算快、对初始值要求不高。

Pyrolysis Kinetic Analysis of Melon Seed Shells Based on Three Algorithms

The pyrolysis process of the melon seed shell in nitrogen atmosphere was used as the research object by the thermal weight loss method. The main components of the shell of melon seeds are: hemicellulose, cellulose, and lignin. It is assumed that the shell of melon seeds is formed by three independent parallel reactions during the thermal decomposition process, respectively, genetic algorithm (GA) and nonlinear least squares method. (NLS), Gaussian fitting-genetic algorithm (GGA), establish the kinetic model of the pyrolysis of the melon seed shell, the kinetic parameters of melon seed shell during thermal decomposition were solved. The results show that the GGA algorithm has the minimum deviation between the simulated data and the experimental data and the best performance. The deviation is only 1.12%.