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Spatial and Temporal Investigation of Real World Crosswind Effects on Transient Aerodynamic Drag Losses in Heavy Duty Truck Trailers in the US.

机译:现实世界中侧风对美国重型卡车拖车的瞬态气动阻力损失的时空研究。

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摘要

Decreasing truck fuel usage and climate change gas production is of national and global importance. This study focuses on large, heavy-duty on-road tractor trailer combinations because of their impact in terms of fuel consumption levels, emissions, and their dominance in freight transportation in the United States, which offers substantial potential to improve efficiency of the transportation sector and reduce emissions. The US Department of Energy completed a study of this topic in 2009, and the EPA and NHTSA are both engaged in regulating truck efficiency. The Energy Information Administration (EIA) reported that more than 50 percent of the total diesel consumed was for transportation and this percentage will increase. With about 65 percent of the total engine-out energy consumed by a typical heavy-duty tractor trailer being spent on overcoming aerodynamic drag at highway speeds (55mph in the USA), improvements to aerodynamic performance offers a substantial avenue for reduction in fuel usage and emissions. Besides being directly related to fuel consumption, emissions, maximum speed and acceleration, aerodynamic phenomena also influence the stability characteristics of road vehicles, and their response to crosswinds. Crosswinds from any directions will affect the drag losses and will cause a significant change in pressure distribution along the truck body. The main objective of this research is to provide a better understanding of the influence of crosswinds on the aerodynamic performance of heavy-duty tractor trailers in the United States.;A model to calculate on-road crosswinds for any temporal and spatial conditions from time-varying weather data, vehicle position and road data was developed. This transient model combined with drag data obtained from experimental, steady-state wind tunnel testing and numerical simulations for various tractor trailer configurations, the transient nature of coefficient of drag due to on-road crosswind conditions (from the model) was analyzed. Variations in yaw angle of up to 17 degrees were observed in some cases where the average yaw angle was recorded at only 3 degrees. Relationships between wind speed, yaw angle, drag and overall truck efficiency were clearly established. The research statistically measured the interaction between aerodynamic add-on devices, on-road crosswinds, and drag reduction efficiency. A region-based and time-based analysis was conducted to provide a better understanding of the aerodynamic performance of a baseline tractor-trailer configuration and aerodynamic add on devices. In several cases, the coefficient of drag varied as much as 60% on the routes analyzed and reductions in aerodynamic drag force up to 25% could realized by using the appropriate aerodynamic configurations. The application of these results will improve the estimation accuracy in fuel, emissions prediction models by allowing temporally and spatially disaggregated data input parameters. Finally, the study presented the different methods in which coefficient of drag is estimated and how these differences could play a role in misleading information about the aerodynamic characteristics of a tractor trailer.
机译:减少卡车燃料的使用和气候变化气体的产生具有国家和全球重要性。这项研究着眼于大型重型公路牵引车拖车组合,因为它们对燃油消耗量,排放量及其在美国货运中的主导地位产生影响,这为提高运输部门的效率提供了巨大潜力并减少排放。美国能源部于2009年完成了对这一主题的研究,EPA和NHTSA都在规范卡车效率。能源信息署(EIA)报告说,柴油消耗总量中有50%以上用于运输,而且这一百分比还将增加。典型的重型牵引车拖车消耗的全部发动机输出能量的约65%用于克服高速行驶时的空气阻力(美国为55mph),空气动力学性能的提高为减少燃油消耗和降低油耗提供了一条重要途径。排放。除了与燃油消耗,排放,最大速度和加速度直接相关之外,空气动力学现象还影响道路车辆的稳定性以及对侧风的响应。任何方向的侧风都会影响阻力损失,并且会导致沿卡车车身的压力分布发生重大变化。这项研究的主要目的是为了更好地了解侧风对美国重型牵引拖车的空气动力性能的影响。;一种用于计算随时间变化的任何时空条件下的公路侧风的模型。开发了各种天气数据,车辆位置和道路数据。该瞬态模型结合了从实验性,稳态风洞测试和各种拖拉机拖车配置的数值模拟获得的阻力数据,分析了由于道路侧风条件而引起的阻力系数的瞬态性质(来自模型)。在某些情况下,仅记录了3度的平均偏航角,观察到的偏航角变化高达17度。风速,偏航角,阻力与卡车整体效率之间的关系已明确建立。该研究统计地测量了气动附加装置,道路侧风和减阻效率之间的相互作用。进行了基于区域和基于时间的分析,以更好地理解基线牵引车-拖车构型的空气动力性能以及附加的空气动力装置。在某些情况下,阻力系数在所分析的路线上变化多达60%,并且通过使用适当的空气动力学配置,可以将空气阻力降低多达25%。这些结果的应用将通过允许按时间和空间分类的数据输入参数来提高燃料,排放预测模型的估计准确性。最后,研究提出了估算阻力系数的不同方法,以及这些差异如何在误导有关拖拉机拖车空气动力学特性的信息中发挥作用。

著录项

  • 作者

    Sathiamoorthy, Bharadwaj.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Engineering Mechanical.;Engineering Automotive.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 172 p.
  • 总页数 172
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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