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Random road analysis and improved gear ratio selection of a front wheel drive drag racing car.

机译:前轮驱动阻力赛车的随机道路分析和改进的齿轮比选择。

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摘要

Drag racing has been around since the 1950's and has become a very popular and very competitive sport. The difference between winning and losing can be hundredths and even thousandths of a second. Drag racing teams need every advantage they can get in order to excel in their field. On-track testing is very expensive and can consume large amounts of time and resources that a race team may not be able to afford.; One way to address this potential problem of high cost is by using computer simulation to show how your drag race car may perform at different tracks and how changes to your car may affect the performance at those tracks. A simulation could allow you to "run" a test at different tracks without actually having to go to those tracks. While computer simulation can not completely replace real testing, it could save money and increase productivity at testing sessions. Additionally, the ability to generate vehicle dynamic responses specific to different tracks could be helpful in selecting vehicle parameters specifically for those tracks.; This thesis describes the development of a tool to study the vehicle dynamics of a front wheel drive drag racing car. A 5 degrees-of-freedom (DOF) model of the dynamic response of the vehicle on different track surfaces is developed and simulated in MATLAB and Simulink. The input to the simulation is a user-specified power spectral density (PSD) of the vertical road profile, tire-to-road adhesion level, and specific vehicle parameters. Outputs of the model include drag times, normal forces, longitudinal accelerations, heave, pitch angle, wheel slip, traction force, vehicle and wheel speeds, and engine RPM. Simulations are run comparing the effects of different road surfaces on the vehicle dynamic response and drag performance. Also, a gear ratio improvement loop is used to evaluate different gear sets on drag performance in an effort to improve the quarter mile time and trap speed.; The vehicle simulation shows that differing road surfaces have a large effect on vehicle dynamics and affect the overall performance of the vehicle on the drag run. The gear ratio improvement loop shows that quarter mile time improvements of 2% and trap speed improvements of over 4% could be achieved simply by using gear ratios that are chosen for a particular track surface. This simulation could produce beneficial and significant improvements in the drag racing world for teams looking for that extra edge on the competition. An overall improvement of 4% could be the difference between winning and losing.
机译:阻力赛车运动自1950年代就已经存在,并且已经成为一种非常受欢迎和极具竞争力的运动。输赢之间的差异可能是百分之一秒甚至千分之一秒。飙车队需要他们能够获得的一切优势,以便在各自领域中脱颖而出。现场测试非常昂贵,并且会消耗赛车队可能无法承受的大量时间和资源。解决这种潜在的高成本问题的方法之一是使用计算机仿真来显示您的阻力赛赛车在不同赛道上的表现以及赛车的变化如何影响这些赛道上的性能。仿真可以使您在不同的轨道上“运行”测试,而不必实际去那些轨道。尽管计算机模拟不能完全替代真实的测试,但可以节省金钱并提高测试过程的生产率。另外,生成特定于不同轨道的车辆动态响应的能力可能有助于选择专门针对那些轨道的车辆参数。本文描述了一种研究前轮驱动阻力赛车的车辆动力学的工具的开发。建立了5个自由度(DOF)的车辆在不同履带表面上的动态响应模型,并在MATLAB和Simulink中进行了仿真。模拟的输入是用户指定的垂直道路轮廓功率谱密度(PSD),轮胎与道路之间的附着力水平以及特定的车辆参数。该模型的输出包括阻力时间,法向力,纵向加速度,升沉,俯仰角,车轮打滑,牵引力,车辆和车轮速度以及发动机转速。通过仿真比较不同路面对车辆动态响应和阻力性能的影响。同样,齿轮比改进回路用于评估不同的齿轮组的阻力性能,以努力改善四分之一英里的时间和陷阱速度。车辆模拟显示,不同的路面对车辆动力学有很大影响,并在拖曳行驶中影响车辆的整体性能。齿轮比改进环表明,仅通过使用为特定履带表面选择的齿轮比,就可以实现2%的四分之一英里时间改进和4%以上的陷阱速度改进。对于希望在比赛中获得更多优势的车队而言,这种模拟可以在赛车世界中产生有益而显着的改进。总体上提高4%可能是赢与输之间的差额。

著录项

  • 作者

    New, Thomas Michael.;

  • 作者单位

    Clemson University.$bMechanical Engineering.;

  • 授予单位 Clemson University.$bMechanical Engineering.;
  • 学科 Engineering Automotive.; Engineering Mechanical.
  • 学位 M.S.
  • 年度 2008
  • 页码 169 p.
  • 总页数 169
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术及设备;机械、仪表工业;
  • 关键词

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