Development of a noise optimization method for multi stage transmissions - consideration of dynamic interactions

现代传动系统必须满足许多不同的要求。它们必须是节能的，必须是故障安全的，必须具有最小重量，并且必须是无声的。具有大于5的高传动比的变速器具有多于一个齿轮级。多级变速器的一个示例是汽车的电动传动系。电动驱动器对噪音非常敏感，在设计阶段是一个挑战。目前，传动误差和齿轮啮合力的大小是齿轮噪声的标准。通常每个齿啮合单独优化。如今，在设计过程的早期状态中预测多级变速器的动态和声学行为是不可能的。由于这一事实，多级变速器的概念在其动态行为方面存在弱点。在不同齿轮级的啮合频率接近的情况下，可能会发生噪声现象，这对人的听觉是恼人的。本研究项目的目的是开发一种方法来设计具有低激励和良好噪声行为的多级变速器。因此，计划将项目的结果用于多级传输。在单级传输的激励行为进行了评估，在参考心理声学特性，以预测的烦恼的激励。该方法将被扩展用于多级变速器。本项目的方法将基于模拟和实证试验，以验证模拟模型。

Modern drivetrains have to fulfill many different requirements. They must be energy efficient, the must be failure safe, the must have a minimum weight and the must be silent. Transmissions with a high transmission ratio bigger than 5 have more than one gear stage. One example for multi stage transmissions is the electric drivetrain of cars. An electric drive is very noise sensitive and a challenge in the design phase. Today the transmission error and the force level of the tooth mesh are criteria for the gear acoustic. Usually each tooth mesh is optimized individually. Today it is not possible to predict the dynamic and acoustic behavior of a multi stage transmission in an early status of the design process. Due to this matter of fact it happens that the concept of a multi stage transmissions has weak points regarding its dynamic behavior. In case that the mesh frequencies of the different gear stages are close together it can happen that noise phenomenon occur what are annoying for human hearing It is the aim of this research project to develop a method to design multi stage transmissions with a low excitation and a good noise behavior. Therefore it is planned to adapt the results from Project to multi stage transmission. In the excitation behavior of single stage transmissions was evaluated in reference to psychoacoustic characteristics to predict the annoyance of the excitation. This methodology will be extended for multi stage transmissions. The approach of this project will be based on simulations and empirical trials to validate the simulation model.