Oscar Carter
Oscar is part of Cohort 1 at the University of Salford.
Oscar is part of Cohort 1 at the University of Salford.
Project outline This PhD project focuses on developing new methods to predict and analyse the sound power radiated by complex engineering systems without needing full physical prototypes. Since real structures are made of many interacting components that each generate noise and vibration, the research aims to: To achieve this, the project will advance Transfer Path Analysis (TPA) techniques […]
Project Outline Vibroacoustic modeling is crucial in engineering systems for accurately predicting, monitoring, and controlling noise and vibration, especially in aerospace and automotive applications. Virtual decoupling techniques have been successfully applied to isolate and analyze vibroacoustic systems in low-frequency domain. However, uncertainties often limit the model’s accuracy. Furthermore, vibroacoustic systems pose challenges due to the […]
Project outline This PhD project focuses on improving aircraft noise prediction for emerging technologies at early design stages. It involves developing whole-aircraft noise models, incorporating operational factors and fleet-level scenarios. The research will support Rolls-Royce’s noise prediction systems and inform certification standards and airport noise policies. Project Partners This PhD project will be hosted within the Rolls-Royce […]
Project outline This project addresses broadband interaction noise, one of the key contributors to community noise from modern propeller aircraft. By developing accurate predictive tools, the project will help Airbus design quieter and more environmentally friendly aircraft. The outcomes will promote sustainability by contributing to quieter communities around airports. Project Partners This PhD project will […]
Project outline This PhD project tackles one of the most pressing challenges in modern construction: how to optimize vibration isolation systems to minimize concrete usage, reduce environmental impact, and enhance urban living. By combining advanced Finite Element modelling, laboratory and field testing, and collaboration with industry leader, Farrat Isolevel, the research will deliver practical design recommendations and performance prediction tools. The […]
Project outline Predicting the noise and vibration from complex structures like cars is a common challenge in engineering design. Transfer Path Analysis (TPA) can be used for this NVH work, speeding prototyping and reducing design costs. In TPA, you break down systems into key components, coupling together models of vibration sources, such as electric motors, to passive receiver structures, like a car body. This PhD is about improving measurements that feed into TPA, to increase the accuracy of the noise and vibration predictions. Improving prediction accuracy, […]
Project outline Large numerical simulations dominate marine and aerospace industries when performing structural analysis on engineering platforms. These models are computationally intensive, and model updating often requires complete re-simulation. To enable practical real-time sensing applications for noise and vibration, sufficient sensor coverage is needed to acquire the data which characterises the dynamical behaviour for quantifying […]