首页> 外文会议>ASME international mechanical engineering congress and exposition >EXPERIMENTAL VERIFICATION OF RUBBER CLUTCH SPRING DAMPER TORQUE BEHAVIOR IN TIME-DEPENDENT MANNER AND SYSTEM OPTIMIZATION USING SIMULATED ANNEALING ALGORITHM INTEGRATED WITH 1-D MODELING
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EXPERIMENTAL VERIFICATION OF RUBBER CLUTCH SPRING DAMPER TORQUE BEHAVIOR IN TIME-DEPENDENT MANNER AND SYSTEM OPTIMIZATION USING SIMULATED ANNEALING ALGORITHM INTEGRATED WITH 1-D MODELING

机译:一维建模的橡胶离合器弹簧阻尼器扭矩行为的时变方式实验验证和系统优化

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Automobile components are subjected to high dynamic loads and vibrations under operational conditions which needs detailed system analysis for work properly. The torque generated in the engine creates oscillations, and this case occurred at different levels of frequencies. Clutch is one of the important part of automobile powertrain system with torque transmission controlling and vibration damping properties. Metallic helical springs are widely preferred within the clutch discs with their durable mechanic properties against dynamic variables on an automobile. This study develops the novel approach on the time-based investigation of rubber clutch springs, and system optimization for torsional vibration damping using the simulated annealing algorithm method. In this purpose, the torque behavior of the rubber spring instead of the helical spring was investigated by experimentally in time-dependent manner. Rubbers consist of polymer chains which are highly sensitive to dynamic variables such as operation time, frequency and thermal load. The clutch disc which includes rubber damper spring made of NBR (Nitril rubber) is experimentally tested with functional torque measurement at different compression cycle times to observe rubber damper spring viscoelastic time-based behavior. As the next step. 1-D modeling of powertrain system, including rubber clutch damper springs, were subjected to vibration optimization with simulated annealing (SA) algorithm. Thus, the simulated annealing (SA) algorithm was developed, and integrated run is provided with 1-D modeling for optimization in Python script. This methodology accelerates the powertrain system optimization using both rubber and metallic damper types with eliminating many of real vehicle testing and saving cost and time before the production phase. Also, results give an idea on the importance of 1-D simulation before design modeling of rubber clutch damper system based on time-dependent conditions.
机译:汽车部件在运行条件下承受高动态负载和振动,这需要详细的系统分析才能正常工作。发动机中产生的扭矩会产生振荡,这种情况发生在不同的频率水平上。离合器是具有扭矩传递控制和减振特性的汽车动力总成系统的重要组成部分之一。金属螺旋弹簧在离合器盘中广受青睐,其耐用的机械性能可抵抗汽车上的动态变量。这项研究开发了一种新的方法,用于基于时间的橡胶离合器弹簧研究,以及使用模拟退火算法方法来优化扭振阻尼的系统。为此目的,通过实验以时间相关的方式研究了橡胶弹簧而不是螺旋弹簧的扭矩特性。橡胶由对动态变量(例如工作时间,频率和热负荷)高度敏感的聚合物链组成。包括NBR(Nitril橡胶)制成的橡胶减震器弹簧的离合器盘在不同的压缩循环时间进行了功能扭矩测量的实验测试,以观察橡胶减震器弹簧基于时间的粘弹性。下一步。对动力总成系统(包括橡胶离合器减震器弹簧)的一维模型进行了模拟退火(SA)算法的振动优化。因此,开发了模拟退火(SA)算法,并提供了带有一维建模的集成运行以在Python脚本中进行优化。这种方法可以同时使用橡胶和金属减震器类型,从而加快了动力总成系统的优化速度,消除了许多实际的车辆测试,并节省了生产阶段的成本和时间。此外,结果还给出了基于时变条件的橡胶离合器减振器系统设计建模之前进行一维仿真的重要性的想法。

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