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柴油机废气再循环性能及最佳废气再循环率确定方法的试验研究

Experimental study on diesel engine exhaust gas recirculation performance and optimum exhaust gas recirculation rate determination method.

作者信息

Zu Xiang-Huan, Yang Chuan-Lei, Wang He-Chun, Wang Yin-Yan

机构信息

College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, People's Republic of China.

出版信息

R Soc Open Sci. 2019 Jun 5;6(6):181907. doi: 10.1098/rsos.181907. eCollection 2019 Jun.

DOI:10.1098/rsos.181907
PMID:31312475
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6599775/
Abstract

In order to study the exhaust gas recirculation (EGR) performance of marine diesel engines, a venturi high-pressure EGR device was established to overcome the exhaust gas reflow problem based on a certain type of turbocharged diesel engine. The EGR performance test is accomplished and an optimal EGR decision-making optimization method based on grey correlation coefficient modified is proposed. The results show that the venturi tube EGR can basically meet the injection requirements of high-pressure exhaust gas and achieve good results. Through the venturi tube EGR, the NO emissions reduce significantly with the maximum drop of 30.6%. The explosive pressure in cylinder reduces with the EGR rate increases and the cylinder pressure curve shows a single peak at low-speed conditions and double peaks at high-speed condition. However, the fuel consumption rate, NO and smoke have been negatively affected. Due to small samples, the traditional evaluation method is difficult to determine the optimal EGR rate reasonably, while the proposed method can effectively solve this problem. It can weaken the shortcomings of subjective judgement and greatly improve the rationality of decision-making results.

摘要

为了研究船用柴油机的废气再循环(EGR)性能,基于某型涡轮增压柴油机建立了文丘里管高压EGR装置以克服废气回流问题。完成了EGR性能试验,并提出了一种基于改进灰色关联度的最优EGR决策优化方法。结果表明,文丘里管EGR基本能满足高压废气喷射要求并取得良好效果。通过文丘里管EGR,NO排放显著降低,最大降幅达30.6%。随着EGR率增加,气缸爆发压力降低,气缸压力曲线在低速工况下呈现单峰,在高速工况下呈现双峰。然而,燃油消耗率、NO和烟度受到了负面影响。由于样本量小,传统评估方法难以合理确定最优EGR率,而所提出的方法能有效解决这一问题。它能弱化主观判断的缺点,大大提高决策结果的合理性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/8051ceb0e3e0/rsos181907-g9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/72177b5bf852/rsos181907-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/3713b2c20009/rsos181907-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/9db84598f737/rsos181907-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/efa6d3f87c9a/rsos181907-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/99d812d6179f/rsos181907-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/4a368b215427/rsos181907-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/96193c3e0994/rsos181907-g7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/20d6004f293a/rsos181907-g8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/8051ceb0e3e0/rsos181907-g9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/72177b5bf852/rsos181907-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/3713b2c20009/rsos181907-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/9db84598f737/rsos181907-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/efa6d3f87c9a/rsos181907-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/99d812d6179f/rsos181907-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/4a368b215427/rsos181907-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/96193c3e0994/rsos181907-g7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/20d6004f293a/rsos181907-g8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4f/6599775/8051ceb0e3e0/rsos181907-g9.jpg

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本文引用的文献

1
Optimized modelling and application of exhaust gas recirculation performance evaluation of turbocharged diesel engine.涡轮增压柴油机废气再循环性能评估的优化建模与应用
R Soc Open Sci. 2018 Jun 27;5(6):172112. doi: 10.1098/rsos.172112. eCollection 2018 Jun.
2
An EGR performance evaluation and decision-making approach based on grey theory and grey entropy analysis.一种基于灰色理论和灰色熵分析的废气再循环(EGR)性能评估与决策方法。
PLoS One. 2018 Jan 29;13(1):e0191626. doi: 10.1371/journal.pone.0191626. eCollection 2018.