Development of a reduced n-heptane/toluene/tetrahydrofuran mechanism for dual-fuel engine combustion prediction

甲苯 燃烧 四氢呋喃 柴油 庚烷 化学 层流火焰速度 反应机理 点火系统 层流 柴油机 热力学 预混火焰 材料科学 有机化学 催化作用 溶剂 燃烧室 物理
作者
Song Li,Catherine Huang,Jinping Liu,Tingting Zhang
出处
期刊:Fuel [Elsevier]
卷期号:326: 124914-124914 被引量:4
标识
DOI:10.1016/j.fuel.2022.124914
摘要

Tetrahydrofuran (THF) is being proposed as a promising alternative fuel for internal combustion engines. However, the reaction chemistry of THF for multi-dimensional engine simulations has not been well established. In this study, a reliable n-heptane/toluene/THF mechanism was developed to simulate combustion of diesel and THF dual-fuel engine. Firstly, a reduced THF reaction mechanism was obtained by employing various mechanism reduction methods. Secondly, a combined mechanism was constructed based on decoupling methodology, which contained the reduced oxidation sub-mechanisms of n-heptane, toluene and THF, a reduced C2-C3 mechanism and a detailed H2/CO/C1 mechanism. Thirdly, the reaction rate constants of selected reactions involved in the combined mechanism were optimized and the newly developed reduced tri-component mechanism consisting of 65 species among 214 reactions. Subsequently, validations of the developed mechanism were performed using the previously published experimental results of ignition delay times in shock tubes, species mole fractions in laminar premixed flames and jet-stirred reactors, and laminar flame speeds. Meanwhile, dual-fuel engine experiments were conducted and new experimental data of in-cylinder pressure and heat release rate were also used to verify the developed mechanism. The validation indicates that the n-heptane/toluene/THF mechanism of this work can be applied for predicting the combustion process of diesel and THF dual-fuel engine.

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
小马甲应助科研通管家采纳,获得10
刚刚
cc应助科研通管家采纳,获得30
刚刚
科研通AI6应助科研通管家采纳,获得20
刚刚
天天快乐应助科研通管家采纳,获得10
刚刚
共享精神应助缥缈傥采纳,获得10
1秒前
李爱国应助科研通管家采纳,获得10
1秒前
CipherSage应助科研通管家采纳,获得10
1秒前
菌子锅发布了新的文献求助10
1秒前
浮游应助科研通管家采纳,获得10
1秒前
乐乐应助科研通管家采纳,获得10
1秒前
慕青应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
走走发布了新的文献求助10
2秒前
5秒前
跳跃的血茗完成签到 ,获得积分10
5秒前
bkagyin应助棋士采纳,获得10
6秒前
6秒前
顾矜应助典雅的悟空采纳,获得10
6秒前
威fly完成签到,获得积分10
9秒前
缥缈傥发布了新的文献求助10
10秒前
量子星尘发布了新的文献求助10
11秒前
隐形之玉完成签到,获得积分10
12秒前
小铃铛发布了新的文献求助50
13秒前
菌子锅完成签到,获得积分20
13秒前
13秒前
州州完成签到,获得积分10
13秒前
Boro完成签到,获得积分10
15秒前
15秒前
yydlt完成签到,获得积分10
16秒前
小二郎应助llll采纳,获得10
16秒前
harry应助纸轮采纳,获得10
17秒前
乐乐应助蔚蓝天空采纳,获得10
17秒前
无花果应助可爱的兔兔采纳,获得10
17秒前
18秒前
量子星尘发布了新的文献求助10
19秒前
20秒前
20秒前
20秒前
24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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5685045
求助须知:如何正确求助?哪些是违规求助? 5040038
关于积分的说明 15185849
捐赠科研通 4844104
什么是DOI,文献DOI怎么找? 2597110
邀请新用户注册赠送积分活动 1549690
关于科研通互助平台的介绍 1508176