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柴油机碳烟颗粒物的分形生长分析与凝聚控制

刘平 李敬 侯加林

控制理论与应用2017,Vol.34Issue(6):732-737,6.
控制理论与应用2017,Vol.34Issue(6):732-737,6.DOI:10.7641/CTA.2017.50923

柴油机碳烟颗粒物的分形生长分析与凝聚控制

The analysis and its agglomeration control of soot particles fractal growth

刘平 1李敬 1侯加林1

作者信息

  • 1. 山东农业大学机械与电子工程学院,山东省园艺机械与装备重点实验室,山东泰安271018
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摘要

Abstract

Based on the fractal growth physical model of soot particles from large diesel agriculture machinery, this paper simulates the morphological structure of collision for the single particles and single particles, single particle and clusters, clusters and clusters, firstly. Moreover, combining with the collision frequency, the fractal growth is controlled to agglomeration using the main environmental factors interference for diesel engine soot particles, in order to make them condensed into regular geometry or larger density particles, reduce the viscous drag for capturing by the capturer or set-tlement and to realize the control of the pollution of the environment. The results of numerical simulation show that the proposed method are feasible and effective, which will help to understand and analyze the physical mechanism and kinetics of non-equilibrium condensation growth behavior of the actual carbon smoke particles and provide the solution to further reduce emissions of the inhalable particulate matter from diesel engines.

关键词

碳烟颗粒物/凝聚/分形生长/控制/柴油机

Key words

soot particles/agglomeration/fractal growth/control/diesel engine

分类

信息技术与安全科学

引用本文复制引用

刘平,李敬,侯加林..柴油机碳烟颗粒物的分形生长分析与凝聚控制[J].控制理论与应用,2017,34(6):732-737,6.

基金项目

国家自然科学基金项目(31301080),中国博士后科学基金项目(2015M582122, 2016T90644),国家科技计划课题(2015BAF13B02),山东省自然科学基金项目(ZR2015FL001),山东省重点研发计划项目(2016ZDJS02A07),作物生物学国家重点实验室开放课题(2013KF10)资助. Supported by National Natural Science Foundation of China (31301080), Postdoctoral Science Foundation of China (2015M582122, 2016T90644), National Key Technology Support Program of China (2015BAF13B02), Natural Science Foundation of Shandong (ZR2015FL001), Key Research Plan of Shandong (2016ZDJS02A07) and Open Project of State Key Laboratory of Crop Biology (2013KF10). (31301080)

控制理论与应用

OA北大核心CSCDCSTPCD

1000-8152

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