The thermodynamic characteristics of high efficiency, internal-combustion engines

热效率 燃烧 压缩比 工作(物理) 热的 热力学 工作产出 化学 热力循环 材料科学 内燃机 核工程 物理 工程类 有机化学
作者
Jerald A. Caton
出处
期刊:Energy Conversion and Management [Elsevier BV]
卷期号:58: 84-93 被引量:107
标识
DOI:10.1016/j.enconman.2012.01.005
摘要

Recent advancements have demonstrated new combustion modes for internal combustion engines that exhibit low nitric oxide emissions and high thermal efficiencies. These new combustion modes involve various combinations of stratification, lean mixtures, high levels of EGR, multiple injections, variable valve timings, two fuels, and other such features. Although the exact combination of these features that provides the best design is not yet clear, the results (low emissions with high efficiencies) are of major interest. The current work is directed at determining some of the fundamental thermodynamic reasons for the relatively high efficiencies and to quantify these factors. Both the first and second laws are used in this assessment. An automotive engine (5.7 l) which included some of the features mentioned above (e.g., high compression ratios, lean mixtures, and high EGR) was evaluated using a thermodynamic cycle simulation. These features were examined for a moderate load (bmep = 900 kPa), moderate speed (2000 rpm) condition. By the use of lean operation, high EGR levels, high compression ratio and other features, the net indicated thermal efficiency increased from 37.0% to 53.9%. These increases are explained in a step-by-step fashion. The major reasons for these improvements include the higher compression ratio and the dilute charge (lean mixture, high EGR). The dilute charge resulted in lower temperatures which in turn resulted in lower heat loss. In addition, the lower temperatures resulted in higher ratios of the specific heats which account for a more effective conversion of thermal energy to work. Other thermodynamic features are described.

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
FashionBoy应助大胆的平蓝采纳,获得10
刚刚
Skyler完成签到,获得积分10
1秒前
英姑应助坚强的平蝶采纳,获得10
1秒前
小明同学发布了新的文献求助30
2秒前
3秒前
5秒前
6秒前
6秒前
8秒前
无聊的霸完成签到,获得积分10
9秒前
Lily发布了新的文献求助20
10秒前
10秒前
10秒前
10秒前
科研通AI6.3应助小李新人采纳,获得10
10秒前
10秒前
11秒前
hh发布了新的文献求助10
11秒前
cyserion发布了新的文献求助10
11秒前
12秒前
12秒前
aa发布了新的文献求助10
13秒前
科研通AI6.3应助李杰春采纳,获得10
13秒前
13秒前
13秒前
13秒前
小董不懂完成签到,获得积分10
14秒前
hailee发布了新的文献求助10
14秒前
ccc完成签到,获得积分10
15秒前
CodeCraft应助Mister.WangK采纳,获得30
16秒前
Kevin63发布了新的文献求助10
16秒前
星辰大海应助淡定的依丝采纳,获得10
16秒前
ralph_liu发布了新的文献求助10
18秒前
18秒前
烂漫世德发布了新的文献求助10
19秒前
petiteblanche发布了新的文献求助10
21秒前
shenyu完成签到 ,获得积分10
22秒前
22秒前
22秒前
Q111234发布了新的文献求助10
23秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Data book on fatigue strength of metallic materials 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7560604
求助须知:如何正确求助?哪些是违规求助? 9141567
关于积分的说明 19542349
捐赠科研通 7148933
什么是DOI,文献DOI怎么找? 3261721
关于科研通互助平台的介绍 2428207
邀请新用户注册赠送积分活动 2251159