Optimizing Noise Reduction in Dual-Stream Turbofan Nozzles: CFD and IoT Analysis of Offset Stream Technology

This research work examines a promising concept for reducing the noise generated during take-off of dual-stream turbofan nozzles, utilizing advanced technology such as Computational Fluid Dynamics (CFD) and Internet of Things (IoT) devices. The concept is based on the offset stream technology, which diverts the fan flow beneath the core flows to decrease the jet noise noticed on the ground. A wedge placed within the internal fan stream is utilized to serve as the diverter, while Wind, a Reynolds Averaged Navier-Stokes (RANS) code, is utilized to examine the flow field of the exhaust plume and determine nozzle performance. To conduct the IoT analysis, sensors such as pressure sensors, Pitot tubes, and turbulence sensors are utilized to measure pressure, velocity, and turbulence at the nozzle's tip. The sensor data is then transmitted to IoT devices to display real-time information. The results of the research work revealed that the wedge efficiently diverts the fan flow, leading to a reduction in the turbulent kinetic energy observed on the observer side of the nozzle. This decrease in turbulence is expected to lead to a reduction in noise as well. However, the wedge's blockage reduces the mass flow of the fan proportional to the degree of blockage, resulting in a small reduction in the overall thrust. The CFD predictions of the research work are in good agreement with experimental data, demonstrating the potential of this concept for reducing jet noise while monitoring the process with IoT devices. CFD analysis can be used to optimize this concept while IoT can be used to provide real-time monitoring of the noise reduction process. In conclusion, this study provides valuable insights into the use of advanced technologies such as CFD and IoT devices for evaluating and optimizing noise reduction concepts for dual-stream turbofan nozzles. This research work has demonstrated the potential of the offset stream technology for reducing jet noise, while IoT devices can be used for real-time monitoring of the process.