Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference29 articles.
1. Analysis of biodiesel promotion in Taiwan;Huang;Renew Sust Energy Rev,2008
2. Wiesenthal T, Leduc G, Christidis P, Schade B, Pelkmans L, Govaerts L et al. Biofuel support policies in Europe: lessons learnt for the long way ahead. Renew Sust Energy Rev, in press. doi:10.1016/j.rser.2008.01.011.
3. Comparative study of mathematical and experimental analysis of spark ignition engine performance used ethanol–gasoline blend fuel;Yücesu;Appl Therm Eng,2007
4. Effect of ethanol–gasoline blends on engine performance and exhaust emissions in different compression ratios;Yücesu;Appl Therm Eng,2006
5. The effects of ethanol–unleaded gasoline blends and ignition timing on performance and exhaust emissions;Topgül;Renew Energy,2006
Cited by 364 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Catalytic converter performance prediction and engine optimization when powered by diisopropyl ether/gasoline blends: Combined application of response surface methodology and artificial neural network;Energy;2024-11
2. A comprehensive analysis of energy, exergy, performance, and emissions of a spark-ignition engine running on blends of gasoline, ethanol, and isoamyl alcohol;Energy;2024-10
3. Optimal design of parabolic through solar collector networks: A design approach for year-round operation;Energy;2024-10
4. Prediction, optimization, and validation of the combustion effects of diisopropyl ether-gasoline blends: A combined application of artificial neural network and response surface methodology;Energy;2024-10
5. Modeling of CI engine performance and emission parameters using artificial neural network powered by catalytic co-pyrolytic renewable fuel;Digital Chemical Engineering;2024-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3