首页> 外文期刊>Measurement >Semi-empirical model for indirect measurement of soot size distributions in compression ignition engines
【24h】

Semi-empirical model for indirect measurement of soot size distributions in compression ignition engines

机译:压缩点火发动机中烟灰尺寸分布间接测量的半实验模型

获取原文
获取原文并翻译 | 示例
           

摘要

This work proposes a semi-empirical model, which provides soot particle size distribution functions emitted by compression ignition engines. The model is composed of a phenomenological model based on the collision dynamics of particle agglomerates and an empirical model, which provides key input parameters such as primary particle size and a mathematical relationship between the size of the agglomerate and number of primary particles. The phenomenological model considers the relevant fluid-dynamics phenomena influencing the collision frequency function. It is observed that Brownian motion is the predominant phenomenon and in a much lesser degree inertial turbulent motion. The experimental model requires air/fuel ratio, engine speed, soot density and mean instantaneous in-cylinder pressure. A Dirac delta is used as a seed for the agglomerate size function whose magnitude depends on the soot volume concentration and the mean primary particle size at each engine operation condition. In a further step, the obtained modelled agglomerate size functions are fitted to lognormal size distributions defined by the modelled mean size and standard deviation. Modelled lognormal agglomerate size distribution functions are validated with respect to experimental distributions obtained using a Scanning Mobility Particle Sizer (SMPS).
机译:这项工作提出了一种半经验模型,提供了通过压缩点火发动机发射的烟灰粒度分布函数。该模型由基于颗粒附聚物的碰撞动态和经验模型的现象学模型组成,其提供诸如初级粒度和初级粒子的尺寸之间的键输入参数和数学关系。该现象学模型考虑了影响碰撞频率函数的相关流体动力学现象。观察到布朗运动是占主导地位的现象,并且在更小的程度的惯性湍流运动中。实验模型需要空气/燃料比,发动机速度,烟灰密度和平均瞬时压力。 DIDAC DELTA用作聚集尺寸函数的种子,其幅度取决于烟灰体积浓度和每个发动机操作条件下的平均初级粒度。在另一步骤中,所获得的建模的聚集尺寸函数拟合到由建模平均尺寸和标准偏差定义的逻辑正式尺寸分布。相对于使用扫描迁移率粒子Sizer(SMPS)获得的实验分布验证建模的伐木峡谷尺寸分布函数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号