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:7
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
1秒前
2秒前
2秒前
2秒前
躺平的搬砖人完成签到,获得积分10
3秒前
外星人完成签到,获得积分10
3秒前
4秒前
5秒前
ding应助阳光采纳,获得10
5秒前
6秒前
mango完成签到,获得积分10
6秒前
6秒前
6秒前
酷炫蛋挞完成签到 ,获得积分10
7秒前
听风轻语发布了新的文献求助10
7秒前
8秒前
jungwon发布了新的文献求助10
8秒前
9秒前
所所应助王小红采纳,获得10
9秒前
岳莹晓发布了新的文献求助10
10秒前
俊逸翠柏完成签到,获得积分10
10秒前
11秒前
Zjf发布了新的文献求助10
11秒前
潘啊潘完成签到 ,获得积分10
11秒前
12秒前
帅过吴彦祖完成签到,获得积分10
12秒前
陆一完成签到 ,获得积分10
13秒前
杨颖发布了新的文献求助30
13秒前
孔孔发布了新的文献求助30
14秒前
14秒前
桐桐应助粗暴的流沙_采纳,获得20
14秒前
14秒前
14秒前
ChenWen发布了新的文献求助10
15秒前
jungwon完成签到,获得积分10
17秒前
LaFee完成签到,获得积分10
17秒前
Poisomber完成签到,获得积分10
17秒前
冰霜发布了新的文献求助10
17秒前
哟252发布了新的文献求助10
18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
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1200
List of 1,091 Public Pension Profiles by Region 1021
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5484143
求助须知:如何正确求助?哪些是违规求助? 4584418
关于积分的说明 14397830
捐赠科研通 4514421
什么是DOI,文献DOI怎么找? 2473992
邀请新用户注册赠送积分活动 1459944
关于科研通互助平台的介绍 1433349