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Estimation of the kinetic parameters of chlorinated polyvinyl chloride waste pyrolysis by particle swarm optimization
Journal of Vinyl and Additive Technology ( IF 3.8 ) Pub Date : 2021-06-15 , DOI: 10.1002/vnl.21841
Ang Li 1 , Wenlong Zhang 2 , Biqing Huang 2 , Ru Zhou 3 , Juan Zhang 2 , Yanming Ding 2
Affiliation  

Chlorinated polyvinyl chloride (CPVC) is a widely-used material in various fields with excellent properties. However, CPVC waste is one of the most intractable solids to dispose of. With the development of pyrolysis technology, some advantages have been exhibited, for example, it is flexible to convert solid waste into clean products by pyrolysis, which can be used as energy. Therefore, pyrolysis is considered as an effective method to dispose of solid waste. Especially, kinetic parameters are significant for pyrolysis, which contributes to reactor design and waste management. To better apply the kinetic parameters of CPVC to dispose of waste, thermogravimetric experiments were conducted to obtain the kinetic parameters and establish the reaction mechanism. The Tang, distributed activation energy model, and Advanced Vyazovkin methods were used to calculate the activation energy, and the reaction order was obtained by the Coats-Redfern method. The results showed that the reaction consisted of two stages, and the average activation energy of the corresponding stage was 153.27 and 290.55 kJ/mol, respectively. However, the abovementioned parameters by traditional methods were not enough to characterize the whole pyrolysis behaviors, then the obtained kinetic parameters were further optimized and extra parameters were computed by the Particle Swarm Optimization algorithm.

中文翻译:

基于粒子群优化法估算氯化聚氯乙烯废弃物热解动力学参数

氯化聚氯乙烯(CPVC)是一种性能优异的材料,广泛应用于各个领域。然而,CPVC 废物是最难处理的固体之一。随着热解技术的发展,一些优势已经显现,例如可以灵活地将固体废物通过热解转化为清洁产品,可以用作能源。因此,热解被认为是处理固体废物的有效方法。特别是,动力学参数对于热解很重要,这有助于反应器设计和废物管理。为了更好地应用CPVC的动力学参数处理废物,进行了热重实验以获得动力学参数并建立反应机理。Tang,分布式活化能模型,采用Advanced Vyazovkin法计算活化能,采用Coats-Redfern法求得反应阶次。结果表明,该反应由两个阶段组成,相应阶段的平均活化能分别为153.27和290.55 kJ/mol。然而,传统方法的上述参数不足以表征整个热解行为,然后进一步优化获得的动力学参数,并通过粒子群优化算法计算额外参数。
更新日期:2021-08-05
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