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柴油机排气微粒生长过程的蒙特卡洛模拟

Monte Carlo simulation of the growth process of particle matters from diesel engines
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摘要 在柴油机燃烧过程中,基簇粒子经过表面增长、凝聚、枝接、断裂和氧化等过程而形成碳烟微粒。文章根据碳烟微粒生长过程的特征,描述了模拟该生长过程的动态蒙特卡洛方法;对模拟结果采用现代分形理论进行计算分析,较为准确地获得微粒的回转半径以及分形维数等结构参数以及生长过程的相关信息。 In the combustion process of diesel engines, the preliminary clusters undergo surface deposition, aggregation, coalescence, fragmentation and oxidation, and then form particle matters(PM). Based on the characteristics of the PM growth process, a dynamic Monte Carlo method is presented to simulate this process. To analyze the morphology of PM possessing complex structure, the modern fractal theory is employed, and the structure parameters such as the gyration radius (Rg) and fractal dimension (Dr) of the PM are obtained more accurately.
出处 《合肥工业大学学报(自然科学版)》 CAS CSCD 北大核心 2007年第7期821-824,832,共5页 Journal of Hefei University of Technology:Natural Science
基金 湖北省教育厅重点资助项目(D200625002)
关键词 柴油机 碳烟 蒙特卡洛模拟 分形 diesel engine particle matter(PM) Monte Carlo simulation fractal
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参考文献11

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