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参数反演法在聚丙烯蜂窝板多层热解数值模拟中的应用

Application of parameter inversion method in numerical simulation of multilayer pyrolysis for polypropylene honeycomb panel
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摘要 为模拟聚丙烯蜂窝板在锥形量热仪中的热解燃烧过程,研究应用参数反演法,融合微尺度动力学模型和小尺寸热解模型,成功构建了蜂窝板一维多层热解模型。首先,建立基于热重、微燃量热和锥形量热不同试验结果和不同材料结构的模型框架;其次,根据提出的自适应混沌粒子群优化算法和火灾动力学模拟器(Fire Dynamics Simulator,FDS)相结合的参数反演法,求解模型参数;最后,讨论不同模型框架对模型准确性的影响。结果显示:多层材料模型框架比单层材料模型框架可以更准确地预测蜂窝板的热解过程;通过应用微尺度动力学模型,参数反演法可以较准确地求解模型热物性参数;动力学参数和热物性参数之间存在补偿效应,预先获取动力学参数可以提高参数反演准确性。 This study aims to simulate the pyrolysis process of Polypropylene(PP)honeycomb panels in a cone calorimeter by employing a parameter inversion method.We successfully integrated micro-scale kinetic models and small-scale pyrolysis models to construct a one-dimensional multi-layer pyrolysis model for the honeycomb panel.To begin with,we established three pyrolysis model frameworks under various conditions:a multilayer model coupled with a microscale kinetic model derived from thermogravimetric experimental results,a multilayer model that ignores these results,and a simplified single-layer model.Following this,we built a micro-scale kinetic model based on results from the thermogravimetric analysis and micro-combustion calorimeter test.The kinetic parameters are evaluated based on the Shuffle Complex Evolution optimization algorithm.Subsequently,we employed an innovative parameter inversion method to evaluate the model parameters of the pyrolysis model for the three frameworks,based on cone test results.This method coupled the adaptive Chaotic Particle Swarm Optimization algorithm with the Fire Dynamics Simulator(FDS)platform and was first proposed here.Finally,we explored the impact of different model frameworks on the model s accuracy.By comparing the results of cone calorimetry experiments under varying external heat flow conditions,we confirmed the model s accuracy and the efficacy of the parameter inversion method.Our findings reveal that the multi-layer material model framework can more accurately simulate the pyrolysis process of PP honeycomb panels compared with the single-layer model.Moreover,by incorporating the micro-scale kinetic model,the proposed parameter inversion method can more precisely determine the parameters for the pyrolysis model.Finally,a compensatory effect between kinetic parameters and thermophysical parameters is observed.This result means that acquiring kinetic parameters at the micro-scale beforehand is essential.This process can reduce the number of model parameters that need to be s
作者 马可馨 王俊翔 赵轩 余强 袁晓磊 MA Kexin;WANG Junxiang;ZHAO Xuan;YU Qiang;YUAN Xiaolei(School of Automobile,Chang an University,Xi an 710064,China;School of Science,Chang an University,Xi an 710061,China;Xi an Vocational University of Automobile,Xi an 710038,China)
出处 《安全与环境学报》 CAS CSCD 北大核心 2024年第7期2536-2545,共10页 Journal of Safety and Environment
基金 国家重点研发计划项目(2017YFC0803904) 陕西省自然科学基础研究计划项目(2022JQ-543) 中央高校基本科研业务费专项资金项目(300102123108)。
关键词 安全工程 聚丙烯蜂窝板 参数反演 多层材料 热解 数值模拟 safety engineering polypropylene honeycomb panel parameter inversion multilayer material pyrolysis numerical simulation
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