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首页> 外文会议>FISITA World Automotive Congress >TO REDUCE RIDE AND HANDLING VARIATIONS BETWEEN VEHICLE TO VEHICLE BY OPTIMIZING THE VARIATIONS IN PART LEVEL DIMENSIONAL DEVIATIONS, STIFFNESS COMPLIANCE USING ROBUST ANALYSIS APPROACH
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TO REDUCE RIDE AND HANDLING VARIATIONS BETWEEN VEHICLE TO VEHICLE BY OPTIMIZING THE VARIATIONS IN PART LEVEL DIMENSIONAL DEVIATIONS, STIFFNESS COMPLIANCE USING ROBUST ANALYSIS APPROACH

机译：通过优化部分级尺寸偏差，使用鲁棒分析方法的刚度依从性，减少车辆与车辆之间的旋转变化

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Ride and Handling parameters will vary from vehicle to vehicle due to allowed deviation in the manufactured parts and it is a known fact. Tightening the tolerance will result in minimizing the variation in the build quality, but stringent control of tolerance also leads to increase in the part cost and ultimately the vehicle cost. The objective of this study is to optimize the variation of ride and handling parameters from vehicle to vehicle by controlling selective parameters in ride and handling and those parameters sensitiveness over parts tolerance, to optimize both cost and development time. The variation of parts dimensions is taken from a different lot with sample size of 100 and processed for tolerance stack analysis using 3DCS tolerance variation simulation software. The required hardpoints are measured for maximum and minimum six-sigma deviation. These variations are considered as input to ADAMS using MODE FRONTIER algorithm for K&C analysis. Using the results from ADAMS for a set tolerance band, sensitivity analysis is done for selected ride and handling parameters against the parts and then the tolerance band is increased to confirm the sensitivity direction. For optimized tolerance band, iterations are increased which satisfies the six-sigma target. The parameters which were effecting the Ride and Handling were identified and detailed study is done for cost and process optimization. This study will identify the hard point's directions which are to be controlled. Sensitiveness of hardpoint direction and values towards selected parameters lead to optimization of hardpoints in initial product development stage, this approach will save the cost and development time. Parts which require stringent control of tolerance is found and those will be changed to reduce the ride and handling variation between the vehicles.
机译：由于允许在制造部件的允许偏差，骑行和处理参数将因车辆而异，因此是已知的事实。收紧公差将导致最大限度地减少构建质量的变化，但对公差的严格控制也导致零件成本增加，最终是车辆成本。本研究的目的是通过控制骑行和处理的选择性参数以及对零件公差的那些参数敏感性来优化车辆到车辆的乘坐和处理参数的变化。零件尺寸的变化从不同的批次采用不同的批次，并使用3DCS公差变化模拟软件处理公差堆栈分析。测量所需的硬点以获得最大和最小六秒形偏差。使用模式前沿算法用于K＆C分析，将这些变化视为对ADAM的输入。使用来自ADAMS的结果进行设定的公差带，为选定的骑行和处理参数进行敏感性分析，然后增加公差带以确认灵敏度方向。对于优化的公差带，增加了满足六秒形目标的迭代。鉴定了骑行和处理的参数，并进行详细的研究以进行成本和过程优化。本研究将识别要控制的硬点的方向。硬点方向的敏感性和对所选参数的值导致初始产品开发阶段的硬点优化，这种方法将节省成本和开发时间。找到需要严格控制公差的部件，并且将改变那些，以减少车辆之间的骑行和处理变化。

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