Exploring reaction mechanisms and kinetics of cellulose combustion via ReaxFF molecular dynamics simulations

雷亚克夫 分子动力学 动力学 燃烧 激进的 纤维素 化学 化学动力学 基本反应 一氧化碳 化学工程 计算化学 有机化学 催化作用 物理 原子间势 量子力学 工程类
作者
Yuqi Feng,Huali Hao,Cheuk Lun Chow,Denvid Lau
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:488: 151023-151023 被引量:42
标识
DOI:10.1016/j.cej.2024.151023
摘要

The incorporation of natural fibers, represented by cellulose fibers, into functional composites for construction applications has garnered widespread attention due to their renewability and sustainability. However, their flammability raises concerns around fire safety. To investigate further the combustion mechanism and kinetics of cellulose, molecular dynamics simulations equipped with reactive forcefield (ReaxFF) are conducted on active cellulose polymers. High-temperature ReaxFF simulations are characterized by effective collisions that better approximate reality. The detailed reaction scheme revealed by the simulations is consistent with the experimental results. The formation of main combustion products, such as carbon monoxide, carbon dioxide, and water, highly depends on free radical reactions. Toxic species such as formaldehyde, glycolaldehyde, and carbon monoxide can be inhibited through effective control of hydroxymethyl, acetyl, and formyl radicals. A higher effective collision proportion promotes combustion, mainly through the enhanced activity of free radicals such as hydroxyl groups. Besides, increased oxygen coefficients have a negligible effect on the final combustion products under oxygen-rich conditions, although intermediates show noticeable sensitivity to oxygen. A kinetic analysis of the initial decomposition and intermediate reaction stages of cellulose combustion is presented, yielding reaction rates consistent with first-order reaction kinetics. This study provides atomic-level insights into cellulose combustion and lays a foundation for predicting the detailed combustion chemistry of cellulose-based materials, which can inform a material design aimed at better fire resistance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Ava应助科研通管家采纳,获得30
刚刚
wanci应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
刚刚
刚刚
CPD应助科研通管家采纳,获得10
刚刚
刚刚
NexusExplorer应助科研通管家采纳,获得10
1秒前
Wei Qin应助科研通管家采纳,获得10
1秒前
1秒前
脑洞疼应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
1秒前
我鬼混回来了完成签到 ,获得积分10
1秒前
SciGPT应助科研通管家采纳,获得10
1秒前
英俊的铭应助科研通管家采纳,获得10
1秒前
1秒前
CodeCraft应助科研通管家采纳,获得10
1秒前
无花果应助科研通管家采纳,获得10
1秒前
2秒前
gw完成签到 ,获得积分10
2秒前
3秒前
3秒前
传奇3应助小金不八卦采纳,获得30
3秒前
3秒前
李梦瑶完成签到,获得积分10
3秒前
LT发布了新的文献求助10
3秒前
3秒前
虚幻三问应助青春采纳,获得10
3秒前
Aw完成签到,获得积分10
3秒前
Roger完成签到,获得积分10
4秒前
4秒前
Ideal应助kx采纳,获得50
4秒前
Serein发布了新的文献求助10
4秒前
4秒前
4秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016328
求助须知:如何正确求助?哪些是违规求助? 7598066
关于积分的说明 16152053
捐赠科研通 5164097
什么是DOI,文献DOI怎么找? 2764589
邀请新用户注册赠送积分活动 1745493
关于科研通互助平台的介绍 1634946