基于机器学习的 JME-ZnO 纳米乳液可变压缩比发动机性能和排放建模

IF 2.3 4区 工程技术 Q3 ENERGY & FUELS
Chiranjeeva Rao Seela, Lakshmana Rao Kalabarige, Siva Prasad Kattela
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引用次数: 0

摘要

以生物柴油和柴油的纳米乳液为燃料的柴油发动机在减少废气排放方面取得了可喜的成果,而且发动机不会出现严重问题。然而,对生物柴油和柴油纳米乳液的影响进行评估的结果却不尽人意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine learning-based modeling of variable compression ratio engine performance and emissions with JME-ZnO nanoemulsion
Diesel engines fueled with nanoemulsion of biodiesel and diesel have shown promising results in reducing emissions without significant engine problems. However, the evaluation of the impact of biod...
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来源期刊
CiteScore
4.40
自引率
6.90%
发文量
488
审稿时长
1.7 months
期刊介绍: Energy Sources Part A: Recovery, Utilization, and Environmental Effects aims to investigate resolutions for the continuing increase in worldwide demand for energy, the diminishing accessibility of natural energy resources, and the growing impact of energy use on the environment. You are invited to submit manuscripts that explore the technological, scientific and environmental aspects of: Coal energy sources Geothermal energy sources Natural gas Nuclear energy sources Oil shale energy sources Organic waste from energy use Petroleum Solar energy sources Tar utilization Sand utilization Wind energy.
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