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Variation Reduction of Axle System NVH

机译:轴系统的变化减少NVH

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This paper presents a study of axle system NVH (noise, vibration and harshness) performance using DFSS (Design for Six Sigma) methods with the focus on the system robustness to typical product variations (tolerances/manufacturing based). Instead of using finite element as the simulation tool, a lumped parameter system dynamics model developed in Matlab/Simulink is used in the study, which provides an efficient way in conducting large-size analytical DOE (Design of Experiment) and stochastic studies. The model's capability to predict both nominal and variance performance is validated with vehicle test data using statistical hypothesis test methods. Major driveline system variables that contribute to axle gear noise are identified and their variation distributions in production are obtained through sampling techniques. Through analytical DOE and ANOVA analyses, the critical design parameters that control the system NVH variations with respect to both product variations and variations due to operating conditions are obtained and given in the paper. Design criteria of axle systems with respect to robust NVH performance are discussed.
机译:本文呈现轮轴系统的研究的NVH(噪声,振动和声振粗糙度)使用DFSS性能(六西格玛设计)与焦点上的系统鲁棒性典型变型产品的方法(公差/制造基于)。代替使用有限元素作为仿真工具,在Matlab开发出集总参数系统动力学模型的/ Simulink环境是在研究中,其提供在传导大尺寸的分析DOE的有效方式(实验设计)和随机研究中使用。该模型的预测名义和方差的表现能力验证用统计学假设检验方法的车辆测试数据。噪声向车轴齿轮传动系统主要系统变量被识别并在生产它们的变化分布通过抽样技术获得。通过分析性DOE和ANOVA分析,获得和在造纸中给出的关键的设计参数来控制该系统的变化NVH相对于两个变型产品,并且由于操作条件的变化。相对于健壮NVH性能轮轴系统的设计标准进行了讨论。

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