• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Combustion Science and Technology >COMPUTATIONAL OPTIMIZATION OF A DOWN-SCALED DIESEL ENGINE OPERATING IN THE CONVENTIONAL DIFFUSION COMBUSTION REGIME USING A MULTI-OBJECTIVE GENETIC ALGORITHM
【24h】

COMPUTATIONAL OPTIMIZATION OF A DOWN-SCALED DIESEL ENGINE OPERATING IN THE CONVENTIONAL DIFFUSION COMBUSTION REGIME USING A MULTI-OBJECTIVE GENETIC ALGORITHM

机译：基于多目标遗传算法的常规扩散燃烧系统中下降柴油机的计算优化

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

Computational optimization of a high-speed diesel engine, combined with diesel engine size-scaling, is presented. A multi-objective genetic algorithm was employed to simultaneously optimize fuel consumption and engine-out emissions of the down-scaled version of a previously optimized baseline engine. By separating the design parameters into hardware parameters (e.g., the piston howl geometry) and controllable parameters (e.g., injection pressure and timings), multiple operating conditions were optimized simultaneously. A new variable was introduced to evaluate the convergence of the optimization, defined as the ratio of the number of Pareto designs and the number of valid designs in each generation. Particular interest was placed on the effect of injection pressure on the optimization of the engine and whether the previously optimized baseline engine design holds for different engine sizes. For 32 generations, totaling 1024 designs, no better design than the initial optimum, which was generated for the baseline engine, was found. This indicates that the current engine size-scaling model works well.
机译：提出了一种高速柴油机的计算优化，并结合了柴油机的尺寸缩放功能。采用多目标遗传算法来同时优化先前优化的基准发动机的缩小版本的燃油消耗和发动机排放。通过将设计参数分为硬件参数（例如，活塞how的几何形状）和可控参数（例如，喷射压力和正时），可以同时优化多个运行条件。引入了一个新变量来评估优化的收敛性，定义为每一代中Pareto设计数量与有效设计数量之比。特别关注的是喷射压力对发动机优化的影响，以及先前优化的基准发动机设计是否适用于不同的发动机尺寸。对于32代，共发现1024个设计，没有比为基准引擎生成的初始最佳设计更好的设计。这表明当前的引擎尺寸缩放模型运行良好。

著录项

  • 来源
    《Combustion Science and Technology》 |2012年第3期|p.78-96|共19页
  • 作者

    Chang-Wook Lee; Hai-Wen Ge; Rolf D. Reitz; Eric Kurtz; Werner Willems;

  • 作者单位

    Engine Research Center, University of Wisconsin- Madison, 1500 Engineering Drive, Madison, WI 53706, USA;

    Engine Research Center, University of Wisconsin Madison, Madison, Wisconsin, USA;

    Engine Research Center, University of Wisconsin Madison, Madison, Wisconsin, USA;

    Research and Innovation Center, Ford Motor Company, Dearborn, Michigan, USA;

    Power train Research and Advanced Engineering, Ford Research Center,Aachen, Germany;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CFD; diesel engine; engine design; optimization; size-scaling;

    机译：差价合约柴油发动机;引擎设计;优化;尺寸缩放;

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