A comparative assessment of performance, combustion, and emissions of a gasoline port and direct injection camless engine

作者
Srinibas Tripathy,Dhananjay Kumar Srivastava
出处
期刊:Environmental progress & sustainable energy [Wiley]
卷期号:42 (1) 被引量:3
标识
DOI:10.1002/ep.13946
摘要

Abstract The lower part‐load efficiency of the spark‐ignition (SI) engine is because of the higher pumping loss during the gas exchange process. In this study, the part‐load efficiency of a port fuel injection (PFI) and gasoline direct injection (GDI) camless engines were investigated. An in‐house developed electro‐pneumatic variable valve actuation (VVA) system controls the camless engine's intake valve events. The effect of un‐throttled operation with early intake valve closings (EIVC) on performance, combustion, and emissions was analyzed. The IVC timing for GDI camless engine was found to be lower (2°–7° crank angle) than the PFI camless engine for all operating conditions due to the in‐cylinder charge cooling. Hence, the pumping mean effective pressure (PMEP) for GDI camless engine was reduced, and brake specific fuel consumption (BSFC) was improved (maximum 2.1%) compared to the PFI camless engine. The THC and CO emissions were higher for GDI camless engine due to the relatively in‐homogeneous mixture formation, whereas the NO x emission was lower for all operating conditions.

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
dwc发布了新的文献求助20
1秒前
2秒前
科研通AI6.2应助mengzhang.1985采纳,获得10
2秒前
2秒前
2秒前
wanci应助jiujieweizi采纳,获得10
3秒前
3秒前
LWQ完成签到,获得积分10
4秒前
5秒前
5秒前
SciGPT应助lzw采纳,获得10
6秒前
深情安青应助壮观的晓露采纳,获得10
7秒前
曜曜发布了新的文献求助10
8秒前
传奇3应助科研通管家采纳,获得50
8秒前
CipherSage应助科研通管家采纳,获得10
8秒前
隐形曼青应助科研通管家采纳,获得10
8秒前
8秒前
ding应助xiaoju采纳,获得10
8秒前
爆米花应助科研通管家采纳,获得10
8秒前
Nole应助科研通管家采纳,获得10
9秒前
斯文败类应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
Nole应助科研通管家采纳,获得10
9秒前
生动新蕾应助科研通管家采纳,获得10
9秒前
英姑应助科研通管家采纳,获得10
10秒前
上官若男应助科研通管家采纳,获得10
10秒前
10秒前
科研通AI6.4应助路宇鹏采纳,获得10
12秒前
懒祝xifeng发布了新的文献求助10
12秒前
加壹完成签到 ,获得积分10
15秒前
小新AA发布了新的文献求助10
16秒前
科研通AI6.4应助amanda采纳,获得20
16秒前
19秒前
19秒前
20秒前
超帅的小熊猫完成签到,获得积分10
21秒前
petrichor完成签到 ,获得积分10
23秒前
藿香完成签到,获得积分10
23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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 7631651
求助须知:如何正确求助?哪些是违规求助? 9206098
关于积分的说明 19743435
捐赠科研通 7200868
什么是DOI,文献DOI怎么找? 3274651
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271265