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Uncertainty analysis of disc brake squeal propensity

机译:盘式制动器尖叫声倾向性的不确定性分析

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摘要

Brake squeal is a significant concern to automotive manufacturers because of noise-related customers’ warranty claims. Despite substantial research efforts in the past two decades, the reliable prediction of brake squeal propensity remains as challenging as ever. This is because brake squeal is essentially a nonlinear problem but the popular complex eigenvalue analysis (CEA) as a prediction tool is linear, while the material properties, operating conditions and friction behavior at the rotor-pad contact interface are not known accurately. In this thesis, the uncertainty analysis is used to improve the squeal prediction quality of the CEA.For an analytical friction oscillator with a nonlinear contact force, the CEA is found to under-predict instabilities compared to a nonlinear instability analysis. By incorporating uncertainties in the spring stiffness and friction coefficient, the under-prediction of the CEA has been significantly reduced although it increases with the strength of the nonlinearity. The friction oscillator is then extended to interconnected 3×3 friction oscillators model to consider uncertainties in friction modelling and contact area. Results show that frequently occurring unstable modes (ie, most likely to squeal) independent of friction models and contact area could be identified by the uncertainty analysis using CEA. Uncertainties in the lining surface roughness, material properties and friction are considered in the prediction of squeal propensity of a realistic disc brake using CEA on a finite element model updated by experimental modal testing results. While the deterministic model with a rough lining surface can predict some squeal frequencies identified in noise dynamometer tests, the deterministic model with a smooth lining surface is unable to predict any squeal frequencies. Yet, the uncertainty analysis can predict all squeal frequencies up to 10 kHz, hence superior to the deterministic approach, but there are still some over-predictions. A squeal index combining the occurrence of instability and normalised median net work can exclude most over-predictions. The uncertainty analysis shows that most of the original squeal frequencies could be eliminated by chamfered pads, validated by noise dynamometer tests. Analysis of the rotor-pad contact surfaces suggests that the reduction in squeal propensity is mainly due to the outer chamfered pad.
机译:由于与噪音有关的客户的保修要求,制动尖叫是汽车制造商的重要问题。尽管在过去的二十年中进行了大量研究,但可靠的制动尖叫倾向性预测仍然像以往一样具有挑战性。这是因为制动尖叫本质上是一个非线性问题,但是作为预测工具的流行的复特征值分析(CEA)是线性的,而转子垫-接触面的材料特性,运行条件​​和摩擦性能却无法准确得知。本文采用不确定性分析来提高CEA的尖叫预测质量。对于具有非线性接触力的解析摩擦振荡器,发现CEA与非线性不稳定分析相比预测不足。通过将弹簧刚度和摩擦系数的不确定性纳入考虑范围,CEA的预测不足已显着降低,尽管它随非线性强度的增加而增加。然后将摩擦振荡器扩展到互连的3×3摩擦振荡器模型,以考虑摩擦模型和接触面积中的不确定性。结果表明,可以通过使用CEA进行的不确定性分析来确定独立于摩擦模型和接触面积的频繁发生的不稳定模式(即,最有可能发出尖叫声)。在通过实验模态测试结果更新的有限元模型上使用CEA预测实际盘式制动器的尖叫倾向时,考虑了衬里表面粗糙度,材料性能和摩擦的不确定性。虽然具有粗糙内衬表面的确定性模型可以预测在噪声测功机测试中确定的某些尖叫频率,但是具有光滑内衬表面的确定性模型无法预测任何尖叫声频率。但是,不确定性分析可以预测所有高达10 kHz的尖叫频率,因此优于确定性方法,但是仍然存在一些过度预测的情况。结合不稳定性和标准化中位数网络出现的尖叫指数可以排除大多数过高的预测。不确定性分析表明,大多数原始的尖叫声频率可以通过倒角垫消除,并通过测功机进行了验证。转子-衬块接触表面的分析表明,尖叫倾向的降低主要是由于外斜切的衬块。

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