...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Fuel >Investigation Of Fuel Spray Atomization In A Di Heavy-duty Diesel Engine And Comparison Of Various Spray Breakup Models
【24h】

Investigation Of Fuel Spray Atomization In A Di Heavy-duty Diesel Engine And Comparison Of Various Spray Breakup Models

机译：Di重型柴油机燃油喷雾雾化研究及各种喷雾破坏模型的比较

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the last decade 3D-CFD has been successfully established for the simulation of IC-engine fuel spray formation and propagation processes. The accuracy of the calculation results, however, strongly depends on the models adopted for simulation of the primary and secondary atomization processes. Hence, careful validations of the individual models serve as major prerequisites for the successful analysis and optimization of high-pressure sprays in diesel engines. In the present work, a CFD code has been used to study the detailed modeling of spray and mixture formation in a caterpillar heavy-duty diesel engine. With respect to the liquid-phase, spray calculations are based on a statistical method referred to as the Discrete Droplet Method (DDM). This paper presents a comparison of four Lagrangian fuel spray breakup models that are in use with commercial softwares in diesel engine simulation. In this paper, we tried to highlight this models prediction difference for sample case, compare their result and explain some possible reasons for differences. The predicted results are validated by comparing with existing experimental data. A good agreement between the predicted and experimental values ensures the accuracy of the numerical predictions collected with the present work.
机译：在过去的十年中，成功地建立了3D-CFD用于模拟IC发动机燃油喷雾形成和传播过程。但是，计算结果的准确性在很大程度上取决于用于模拟一次和二次雾化过程的模型。因此，对各个模型的仔细验证是成功分析和优化柴油发动机高压喷雾的主要前提。在当前的工作中，CFD代码已用于研究履带重型柴油机中喷雾和混合气形成的详细模型。对于液相，喷雾计算基于称为离散液滴法（DDM）的统计方法。本文介绍了四种与柴油机仿真中的商业软件一起使用的拉格朗日燃油喷雾破裂模型的比较。在本文中，我们试图突出此模型对样本案例的预测差异，比较它们的结果并解释差异的一些可能原因。通过与现有实验数据进行比较来验证预测结果。预测值和实验值之间的良好一致性确保了本工作收集的数值预测的准确性。

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