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Trunk Lid Torsion Bar Design Based on Reverse Engineering Method

机译:基于逆向工程方法的行李箱盖扭杆设计

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The purpose of this study is to validate a reverse engineering based design method for automotive trunk lid torsion bars (TLTB) in order to determine a free, or unloaded, shape that meets a target closed shape as well as a specified torque. A TLTB is a trunk lid component that uses torsional restoring force to facilitate the lifting open of a trunk lid, as well as to maintain the open position. Bend points and torque of a TLTB at a closed trunk position are specified by a car maker. Conventionally, a TLTB supplier determines bend points of the free shape by rotating the given bend points from a closed position around a certain axis to satisfy the specified torque at the closed position. Bend points of a deformed TLTB shape in the closed position often do not match the target bend points given by a car maker when designed by the conventional method, which can potentially cause interference issues with surrounding components. Therefore, a reverse engineering method based on finite element analysis (FEA) was developed. The bend points of a free TLTB shape are designed as follows: First, the difference between bend points of an FEA closed shape and target closed shape are determined using results from the conventional method. Next, bend points of a new free shape are automatically created by adding the differences to the bend points of the initial free shape with some modification for torque. This process is repeated until the difference reaches an acceptable level. The validity of the method is proven in this paper.
机译:本研究的目的是验证用于汽车躯干盖扭杆(TLTB)的基于逆向工程的设计方法,以便确定符合目标闭合形状的自由或卸载的形状以及指定的扭矩。 TLTB是一个主干盖部件,其使用扭转恢复力来便于抬起躯干盖的打开,以及保持打开位置。在封闭式主干位置处的TLTB的弯曲点和扭矩由汽车制造商指定。传统上,TLTB供应商通过围绕一定轴线围绕闭合位置旋转给定的弯曲点来确定自由形状的弯曲点,以满足在关闭位置处的指定扭矩。在关闭位置的变形TLTB形状的弯曲点通常与汽车制造商在由传统方法设计时不匹配的目标弯曲点,这可能会导致周围部件的干扰问题。因此,开发了基于有限元分析(FEA)的逆向工程方法。自由TLTB形状的弯曲点设计如下:首先,使用传统方法的结果确定FEA闭合形状和目标闭合形状的弯曲点之间的差异。接下来,通过将差异与初始自由形状的弯曲点的差异添加一些改变来自动创建新的自由形状的弯曲点。重复该过程,直到差异达到可接受的水平。本文证明了该方法的有效性。

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