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为了提高轮胎泵浦噪声的预测精度,在Hayden模型的理论基础上,考虑轮胎横向沟槽的位置效应,提出了一种改进的轮胎泵浦噪声预测模型——非等强度多源模型。采用激光双三角测量技术解决了预测模型中沟槽体积变化参数难以获取这一难点,通过激光双三角测量系统测量了具有纵、横沟槽胎面花纹的轮胎在静态受压时的沟槽轮廓信息,并模拟计算了80km·h-1速度下沟槽体积变化与时间的关系曲线。考虑到静态测量结果与实际动态结果之间的差异,根据相关有限元计算研究成果对静态测量结果进行了修正,并将修正后的沟槽体积变化数据分别代入非等强度多源模型和Hayden模型进行轮胎噪声的预测。为了验证提出模型的有效性,采用实验室转鼓法对轮胎进行了噪声测量,并将测量结果与2种模型的预测结果进行对比。研究结果表明:激光双三角测量系统能准确测量轮胎花纹沟槽的轮廓变形,经过计算以及修正后的沟槽体积变化量与已有研究成果一致;Hayden模型的预测结果比实验室转鼓法测量结果高约10dB,且只能预测总声压级,无法对频谱结果进行预测;非等强度多源模型预测的频谱曲线与实测频谱曲线基本一致,噪声总声压级以及频谱各阶峰值的预测误差均在±3dB以内,具有较高的预测精度。
In order to improve the prediction accuracy of tire pumping noise, an improved tire pumping noise prediction model - non-isosurve multi-source model is proposed based on the Hayden model theory and the position effect of tire lateral groove. The laser double triangulation technique is used to solve the difficulty of obtaining parameters of groove volume variation in the prediction model. The groove profile of the tire with longitudinal and cross-groove tread pattern under static compression is measured by the laser double-triangle measuring system Information, and simulate the curve of groove volume change with time under 80km · h-1 speed. Taking into account the difference between the static measurement results and the actual dynamic results, the static measurement results are corrected according to the relevant finite element calculation results and the revised groove volume change data are respectively substituted into the non-equal-intensity multi-source model and the Hayden model Tire noise prediction. In order to verify the validity of the proposed model, a laboratory drum method was used to measure the noise of the tire, and the measured results were compared with the predicted results of the two models. The results show that laser double trigonometry system can accurately measure the contour deformation of tire tread groove. The calculated and corrected groove volume change amount is consistent with the existing research results. The Hayden model predicts better than the laboratory drum method The result is about 10dB higher, and the total sound pressure level can only be predicted. Therefore, it is impossible to predict the spectrum results. The predicted spectrum curves of the non-isosurve multi-source model are basically the same as the measured spectrum curves, Errors are within ± 3dB, with a high prediction accuracy.