About the project
This experimental project is aimed at a fundamental investigation into the noise generation and transmission mechanisms of components such as valves and pumps located within fluid filled pipework, which may be a major source of noise within industrial systems. The project aims to develop more accurate methods for predicting noise levels and influence ways to reduce it.
In industries where large fluid-filled pipework systems are utilised, issues have been identified with noise and vibration being generated and transmitted by or through the fluid. Valves, pumps and other fluid-moving devices are known generators of noise; that fluid-borne noise contributes to system-level noise and vibration which needs to be managed. Current methods for predicting this noise are based on British standards that are known to be low fidelity in some circumstances, particularly for narrowband components.
The initial phase of this project is aimed at developing a fluid filled rig containing a working section in which different devices, such as valves and pumps, can be located and its upstream and downstream noise measured. Measurements will be compared against predictions and the assumptions made in the prediction method tested against detailed noise flow measurements in the pipe.
The later phase of the project will be to develop an improved model for predicting the noise, based on high-level information relating to the device, such as electrical power consumption, pressure loss or rise, speed of rotation, and other appropriate information. The model will include an assessment of the prediction uncertainties.
Working closely with your supervisors and our industrial sponsor, Rolls-Royce, you'll learn to think independently, question assumptions, and conduct rigorous research that combines acoustics, measurements techniques and signal processing techniques. You'll improve your critical analysis skills and learn to communicate complex ideas clearly. By the end of your research, you'll have made an original contribution that advances academic understanding in this important area of engineering.
