Search Results

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.

Driveline components are designed to meet customer component-level NVH requirements as measured on a dynamometer in a laboratory environment. It is desired to evaluate the NVH characteristics of driveline components at the end of the manufacturing process and predict how this performance will compare to the component-level specification as measured on the dynamometer in the laboratory environment. A test method is presented for establishing the correlation of the NVH performance of light duty truck axles measured at the end of the manufacturing process on the plant floor to the NVH performance of the same axles measured on a dynamometer in a laboratory environment.