About the project
How can we better predict and reduce noise travelling through pipe systems in ships and submarines? This experimental project will investigate how valves and pumps generate fluid-borne noise, combining measurement and analysis to develop more accurate prediction methods and support quieter engineering systems.
A major problem on submarines is preventing the noise generated within the vessel from being radiated from the hull into the sea, thereby revealing its presence and location. One of the most contributors to noise on the submarine is the noise generated by valves, pumps another device located within the pipe work used to transfer fluid around the vessel. These pipe systems or an efficient method of transmitting sound around the submarine. Current methods for predicting this noise are based on British standards that are known to be highly inaccurate in some circumstances, particularly for narrowband components such as at the blade passing frequencies.
The first phase of this project is aimed at developing a fluid filled pipe 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 final 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 the supervisors and industrial sponsors 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. At the end of the project, you'll have contributed original knowledge that advances understanding of this important engineering area within the academic community.
