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Predicting Engine Noise with Computational Aero-Acoustics Model

机译:用计算航空声学模型预测发动机噪声

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Computational analysis is being recognized across industry segments as an effective tool to analyze and understand the noise characteristics of Engines. Understanding mechanisms of noise generation can be critical to the effective design and development process of new generation engines. This paper describes Computational Aero-Acoustic analysis performed in ANSYS Fluent to obtain the noise sources on a Kohler 5400 Series Engine. The inbuilt Fowcs-Williams and Hawkings (FWH) model in ANSYS Fluent was used to optimize the model size and turnaround time while maintaining acceptable accuracy of the acoustics results. The targeted frequency range is from 0 to 3000Hz. The results from the simulation are analyzed and compared with data from lab test procedure based on ISO 3744. Data is recorded on 10 receiver locations roughly a meter away from the engine. Repeatable best practices for the solution of aeroacoustics applications using general purpose CFD codes are developed in this study.
机译:在工业群体中被认可的计算分析是分析和理解发动机噪声特性的有效工具。 了解噪声产生机制对于新一代发动机的有效设计和开发过程至关重要。 本文介绍了在ansys流利的计算空气声学分析,以获得Kohler 5400系列发动机上的噪声源。 ANSYS流畅的内置禽类和鹰(FWH)模型用于优化模型尺寸和周转时间,同时保持声学结果可接受的准确性。 目标频率范围为0至3000Hz。 分析了模拟结果,并与基于ISO 3744的实验室测试过程的数据进行了比较。数据在10个接收器位置上记录到远离发动机的仪表。 在本研究中开发了使用通用CFD代码解决空气声学应用解决方案的可重复最佳实践。

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