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An Acoustic Target Setting and Cascading Method for Vehicle Trim Part Design

机译:车辆饰边部件设计的声学靶标和级联方法

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One of the major concerns in the vehicle trim part design is the acoustic targets, which are generally defined by absorption area or coefficients, and sound transmission loss (STL) or sound insertion loss (SIL). The breaking down of acoustic targets in vehicle design, which is generally referred to as cascading, is the process of determining the trim part acoustic targets so as to satisfy full vehicle acoustic performance. In many cases, these targets are determined by experience or by subjective evaluation. Simulation based transfer path analysis (TPA), which traces the energy flow from source, through a set of paths to a given receiver, provides a systematic solution of this problem. Guided by TPA, this paper proposes a component level target setting approach that is based on the statistical energy analysis (SEA), an efficient method for vehicle NVH analysis in mid and high frequencies. Using a validated SEA model of the vehicle under consideration, the contributions of common noise sources and paths, which are generally defined on parts of sheet-metal with trim parts attached, can be evaluated. This allows the prediction of interior noise level due to various possible sound packages. On the base of this, acoustic target setting of trim parts can be defined as the solution of a mathematical optimization problem. The targets such as SIL of trim parts at certain frequency range are taken as design variables, and the vehicle level performance like the sound pressure level (SPL) at driver’s ear is incorporated into constraint functions. This approach is versatile and is suitable for traditional ICE vehicles and modern EVs. It can be used on a vehicle prototype at the early stages for target cascading, or on an existing vehicle model for NVH improvement. Several cases and examples on this target setting method have been discussed in the paper.
机译:车辆修剪部件设计中的主要问题之一是声学目标,其通常由吸收区域或系数限定,以及声音传输损耗(STL)或声音插入损耗(SIL)。车辆设计中的声学靶的分解通常被称为级联的过程是确定修剪部分声学靶的过程,以满足全车辆声学性能。在许多情况下,这些目标由经验或主观评估决定。基于仿真的传输路径分析(TPA),其通过向给定接收器的一组路径追溯到从源的能量流动提供了该问题的系统解决方案。本文以TPA为指导,提出了一种基于统计能量分析(海)的组成级目标设定方法,其中高频率中的车辆NVH分析的有效方法。通过考虑的验证的车辆的验证的海模型,可以评估常见噪声源和路径的贡献,这些噪声源和路径通常限定在带有修剪零件的金属钣金的部分上。这允许由于各种可能的声音包装预测内部噪声水平。在此基础上,修剪部件的声学目标设置可以定义为数学优化问题的解决方案。在某些频率范围内的修剪零件如SIL的目标被视为设计变量,并且驾驶员耳朵的声压级(SPL)的车辆水平性能被纳入约束函数。这种方法是通用的,适用于传统的冰车和现代EV。它可以用于目标级联的早期阶段的车辆原型,或用于NVH改善的现有车辆模型。本文讨论了几种情况和该目标设定方法的例子。

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