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This PhD will aim to reduce the environmental noise pollution from automotive tyres using active noise control techniques. This will advance the possible methods used to reduce the impact of vehicles on society. As the tyre rolls on the rough road surface, it vibrates, causing noise to be radiated in all directions. This noise pollution reflects from the road surface, and underside of the vehicle, scattering in a 3D sound field. Due to the shape of the tyre meeting the road surface, the sound can be amplified significantly, which complicates the mitigation. Reducing the noise has traditionally relied on passive damping methods to wheel arches, however, in this project, you will apply active noise control techniques to reduce the carcass vibration frequencies in a 3D environment. Typically, the cancellation sound field is generated by a loudspeaker, however, this is impractical as it would then cause more sound radiation and pollution in some directions. Instead, a highly novel directional noise generation source will be employed to direct the cancellation sound to exactly the location where the noise is produced, whilst being located away from the tyre surface. This will involve making 3D maps of the sound field using an acoustic camera and creating directional cancellation signals. You will have access to experimental tyre test rigs and vehicles. Active noise control of the vehicle interior has been successfully implemented to reduce the interior tyre noise, but this PhD research is focused on the impact on society and the potential reductions which can be achieved. The directional sound source, an ultrasonic parametric array will be used to generate sound waves which are focused in a tight beam, which cannot be achieved with traditional speaker designs which radiate unwanted sound in all directions. The project will augment the experimental tyre sound radiation measurements with simplified, real time models of the tyre surface, to aid the controller in mitigating the surrounding 3D sound field which includes scattering. A key question is whether it is feasible to reduce any of the tyre external noise at frequencies important for pedestrians or urban dwellings. This external modification of the sound field from a vehicle is a vision for reducing the noise on the ecosystem. The student will be expected to set up a real-time Simulink model of the tyre vibration to tune a Simulink control model which provides the active noise cancellation signals. It is possible that reinforced machine learning will be used to tune the controller gains for the spatial 3D noise optimisation. The focus will be on a joint theoretical and experimental PhD with skills developed of use to the automotive industry. Research questions to answer include the nonlinear demodulation which occurs in the presence of scattering surfaces, the interaction of microphones in the presence of both the original sound and a cancellation field and what the practical implementation of technology looks like. Loughborough has access to a full size anechoic chamber for experimental measurements, and a full series of data acquisition equipment. It also has access to a full sized tyre test trailer for prototype or baseline experimental measurements. You will be working with Dr Dan O'Boy and others from the Department of Aeronautical and Automotive Engineering who have a proven track record working with industrial manufacturers such as Ford and Jaguar Land Rover. Your supervision team will include Dr Eve Zhang who has significant experience of machine learning applied to acoustic signals. You will have access to noise experts, control, experimental and machine learning specialists as needed.
Programme overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
This PhD will aim to reduce the environmental noise pollution from automotive tyres using active noise control techniques. This will advance the possible methods used to reduce the impact of vehicles on society. As the tyre rolls on the rough road surface, it vibrates, causing noise to be radiated in all directions. This noise pollution reflects from the road surface, and underside of the vehicle, scattering in a 3D sound field. Due to the shape of the tyre meeting the road surface, the sound can be amplified significantly, which complicates the mitigation. Reducing the noise has traditionally relied on passive damping methods to wheel arches, however, in this project, you will apply active noise control techniques to reduce the carcass vibration frequencies in a 3D environment. Typically, the cancellation sound field is generated by a loudspeaker, however, this is impractical as it would then cause more sound radiation and pollution in some directions. Instead, a highly novel directional noise generation source will be employed to direct the cancellation sound to exactly the location where the noise is produced, whilst being located away from the tyre surface. This will involve making 3D maps of the sound field using an acoustic camera and creating directional cancellation signals. You will have access to experimental tyre test rigs and vehicles. Active noise control of the vehicle interior has been successfully implemented to reduce the interior tyre noise, but this PhD research is focused on the impact on society and the potential reductions which can be achieved. The directional sound source, an ultrasonic parametric array will be used to generate sound waves which are focused in a tight beam, which cannot be achieved with traditional speaker designs which radiate unwanted sound in all directions. The project will augment the experimental tyre sound radiation measurements with simplified, real time models of the tyre surface, to aid the controller in mitigating the surrounding 3D sound field which includes scattering. A key question is whether it is feasible to reduce any of the tyre external noise at frequencies important for pedestrians or urban dwellings. This external modification of the sound field from a vehicle is a vision for reducing the noise on the ecosystem. The student will be expected to set up a real-time Simulink model of the tyre vibration to tune a Simulink control model which provides the active noise cancellation signals. It is possible that reinforced machine learning will be used to tune the controller gains for the spatial 3D noise optimisation. The focus will be on a joint theoretical and experimental PhD with skills developed of use to the automotive industry. Research questions to answer include the nonlinear demodulation which occurs in the presence of scattering surfaces, the interaction of microphones in the presence of both the original sound and a cancellation field and what the practical implementation of technology looks like. Loughborough has access to a full size anechoic chamber for experimental measurements, and a full series of data acquisition equipment. It also has access to a full sized tyre test trailer for prototype or baseline experimental measurements. You will be working with Dr Dan O'Boy and others from the Department of Aeronautical and Automotive Engineering who have a proven track record working with industrial manufacturers such as Ford and Jaguar Land Rover. Your supervision team will include Dr Eve Zhang who has significant experience of machine learning applied to acoustic signals. You will have access to noise experts, control, experimental and machine learning specialists as needed.
Admission Requirements
92+
6.5+
3.2+
A 2:1 undergraduate degree in a relevant subject. An interest in either acoustics, vibration, control engineering, machine learning, environmental pollution reduction or vehicle design would be an advantage.
12 Feb 2025
3 Years
Oct
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Active Noise Control of Automotive Tyres using Ultrasonic Parametric Arrays PhD
Loughborough University, Loughborough, United Kingdom
36 monthsProgramme duration
12 Feb, 2025Application Deadline
Programme overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
As the tyre rolls on the rough road surface, it vibrates, causing noise to be radiated in all directions. This noise pollution reflects from the road surface, and underside of the vehicle, scattering in a 3D sound field. Due to the shape of the tyre meeting the road surface, the sound can be amplified significantly, which complicates the mitigation.
Reducing the noise has traditionally relied on passive damping methods to wheel arches, however, in this project, you will apply active noise control techniques to reduce the carcass vibration frequencies in a 3D environment. Typically, the cancellation sound field is generated by a loudspeaker, however, this is impractical as it would then cause more sound radiation and pollution in some directions.
Instead, a highly novel directional noise generation source will be employed to direct the cancellation sound to exactly the location where the noise is produced, whilst being located away from the tyre surface. This will involve making 3D maps of the sound field using an acoustic camera and creating directional cancellation signals. You will have access to experimental tyre test rigs and vehicles.
Active noise control of the vehicle interior has been successfully implemented to reduce the interior tyre noise, but this PhD research is focused on the impact on society and the potential reductions which can be achieved. The directional sound source, an ultrasonic parametric array will be used to generate sound waves which are focused in a tight beam, which cannot be achieved with traditional speaker designs which radiate unwanted sound in all directions.
The project will augment the experimental tyre sound radiation measurements with simplified, real time models of the tyre surface, to aid the controller in mitigating the surrounding 3D sound field which includes scattering. A key question is whether it is feasible to reduce any of the tyre external noise at frequencies important for pedestrians or urban dwellings. This external modification of the sound field from a vehicle is a vision for reducing the noise on the ecosystem.
The student will be expected to set up a real-time Simulink model of the tyre vibration to tune a Simulink control model which provides the active noise cancellation signals. It is possible that reinforced machine learning will be used to tune the controller gains for the spatial 3D noise optimisation. The focus will be on a joint theoretical and experimental PhD with skills developed of use to the automotive industry.
Research questions to answer include the nonlinear demodulation which occurs in the presence of scattering surfaces, the interaction of microphones in the presence of both the original sound and a cancellation field and what the practical implementation of technology looks like.
Loughborough has access to a full size anechoic chamber for experimental measurements, and a full series of data acquisition equipment. It also has access to a full sized tyre test trailer for prototype or baseline experimental measurements.
You will be working with Dr Dan O'Boy and others from the Department of Aeronautical and Automotive Engineering who have a proven track record working with industrial manufacturers such as Ford and Jaguar Land Rover. Your supervision team will include Dr Eve Zhang who has significant experience of machine learning applied to acoustic signals. You will have access to noise experts, control, experimental and machine learning specialists as needed.
Programme overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
As the tyre rolls on the rough road surface, it vibrates, causing noise to be radiated in all directions. This noise pollution reflects from the road surface, and underside of the vehicle, scattering in a 3D sound field. Due to the shape of the tyre meeting the road surface, the sound can be amplified significantly, which complicates the mitigation.
Reducing the noise has traditionally relied on passive damping methods to wheel arches, however, in this project, you will apply active noise control techniques to reduce the carcass vibration frequencies in a 3D environment. Typically, the cancellation sound field is generated by a loudspeaker, however, this is impractical as it would then cause more sound radiation and pollution in some directions.
Instead, a highly novel directional noise generation source will be employed to direct the cancellation sound to exactly the location where the noise is produced, whilst being located away from the tyre surface. This will involve making 3D maps of the sound field using an acoustic camera and creating directional cancellation signals. You will have access to experimental tyre test rigs and vehicles.
Active noise control of the vehicle interior has been successfully implemented to reduce the interior tyre noise, but this PhD research is focused on the impact on society and the potential reductions which can be achieved. The directional sound source, an ultrasonic parametric array will be used to generate sound waves which are focused in a tight beam, which cannot be achieved with traditional speaker designs which radiate unwanted sound in all directions.
The project will augment the experimental tyre sound radiation measurements with simplified, real time models of the tyre surface, to aid the controller in mitigating the surrounding 3D sound field which includes scattering. A key question is whether it is feasible to reduce any of the tyre external noise at frequencies important for pedestrians or urban dwellings. This external modification of the sound field from a vehicle is a vision for reducing the noise on the ecosystem.
The student will be expected to set up a real-time Simulink model of the tyre vibration to tune a Simulink control model which provides the active noise cancellation signals. It is possible that reinforced machine learning will be used to tune the controller gains for the spatial 3D noise optimisation. The focus will be on a joint theoretical and experimental PhD with skills developed of use to the automotive industry.
Research questions to answer include the nonlinear demodulation which occurs in the presence of scattering surfaces, the interaction of microphones in the presence of both the original sound and a cancellation field and what the practical implementation of technology looks like.
Loughborough has access to a full size anechoic chamber for experimental measurements, and a full series of data acquisition equipment. It also has access to a full sized tyre test trailer for prototype or baseline experimental measurements.
You will be working with Dr Dan O'Boy and others from the Department of Aeronautical and Automotive Engineering who have a proven track record working with industrial manufacturers such as Ford and Jaguar Land Rover. Your supervision team will include Dr Eve Zhang who has significant experience of machine learning applied to acoustic signals. You will have access to noise experts, control, experimental and machine learning specialists as needed.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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International Sustainable Development MSc
Pharmaceutical Science and Medicinal Chemistry MSc, PGDip, PGCert
Pharmaceutical Science and Medicinal Chemistry MSc, PGDip, PGCert
Secondary Mathematics (11-18) PGCE
Secondary Mathematics (11-18) PGCE
Social Sciences and Management (6)
Applied Sport Performance Analysis MSc
Applied Sport Performance Analysis MSc
Clinical Exercise Physiology MSc
Clinical Exercise Physiology MSc
Communication, Media and Development MA
Communication, Media and Development MA
Criminology MSc
Criminology MSc
Digital Creative Media MSc
Digital Creative Media MSc
Digital Media and Creative Industries MA
Digital Media and Creative Industries MA
Diplomacy and International Relations MSc
Diplomacy and International Relations MSc
Diplomacy and Sport MSc
Diplomacy and Sport MSc
Diplomacy, International Business and Trade MSc
Diplomacy, International Business and Trade MSc
Diplomacy, International Politics and Trade MSc
Diplomacy, International Politics and Trade MSc
Education (Physical Education) with Qualified Teaching Status
Education (Physical Education) with Qualified Teaching Status
Human Resource Management MSc
Human Resource Management MSc
International Development MA
International Development MA
International Financial and Political Relations MSc
International Financial and Political Relations MSc
International Human Resource Management MSc
International Human Resource Management MSc
International Security MA
International Security MA
Law LLM
Law LLM
Leadership in Sport MA
Leadership in Sport MA
MSc Employment Relations and Human Resource Management
MSc Employment Relations and Human Resource Management
Media and Communication MA
Media and Communication MA
Musculoskeletal Sport Science and Health MSc
Musculoskeletal Sport Science and Health MSc
Physiology and Nutrition of Sport and Exercise MSc
Physiology and Nutrition of Sport and Exercise MSc
Secondary Physical Education (11-18) PGCE
Secondary Physical Education (11-18) PGCE
Security, Peace-building and Diplomacy MSc
Security, Peace-building and Diplomacy MSc
Social Science Research MSc
Social Science Research MSc
Sport Analytics and Technologies MSc
Sport Analytics and Technologies MSc
Sport Biomechanics MSc
Sport Biomechanics MSc
Sport and Artificial Intelligence MSc
Sport and Artificial Intelligence MSc
Sports Engineering MSc
Sports Engineering MSc
Strategic Communication MA
Strategic Communication MA
Strength and Conditioning MSc
Strength and Conditioning MSc
Sustainable Sport Business MSc
Sustainable Sport Business MSc
Full-Time MBA (1)
The Loughborough Full-Time MBA
The Loughborough Full-Time MBA
Arts and Humanities (6)
Big Splash Campaign School of Design and Creative Arts PhD
Big Splash Campaign School of Design and Creative Arts PhD
Cultural Currents in the Nineteenth and Twentieth Century: Continuities between 'Victorian' and 'Modernist' Literature PhD
Cultural Currents in the Nineteenth and Twentieth Century: Continuities between 'Victorian' and 'Modernist' Literature PhD
Doctoral Research in Health Humanities PhD
Doctoral Research in Health Humanities PhD
Dynamic External Shading for Enhanced Visual and Thermal Comfort In Schools PhD
Dynamic External Shading for Enhanced Visual and Thermal Comfort In Schools PhD
Women in Historical Fiction of the English Civil War Era Creative/Critical PhD
Women in Historical Fiction of the English Civil War Era Creative/Critical PhD
Business and Management (6)
Demographic Changes and Economic Development PhD
Demographic Changes and Economic Development PhD
Engineering and Technology (6)
3-Directional Frictional Mechanical Metamaterials (3DFMMs) PhD
3-Directional Frictional Mechanical Metamaterials (3DFMMs) PhD
A Multiscale Investigation of Dislocation-Grain Boundary Interactions in Next Generation Alloys PhD
A Multiscale Investigation of Dislocation-Grain Boundary Interactions in Next Generation Alloys PhD
Accessing New Chemistries: Tuning Reactivity of Chemical Processes Using Ionic Liquids
Accessing New Chemistries: Tuning Reactivity of Chemical Processes Using Ionic Liquids
Active Noise Control of Automotive Tyres using Ultrasonic Parametric Arrays PhD
Active Noise Control of Automotive Tyres using Ultrasonic Parametric Arrays PhD
Adaptive Reconfigurable Intelligent Metasurfaces for 5G/6G Networks PhD
Adaptive Reconfigurable Intelligent Metasurfaces for 5G/6G Networks PhD
Advanced Additive Manufacturing For Radiofrequency System Design PhD
Advanced Additive Manufacturing For Radiofrequency System Design PhD
Advanced Antenna Arrays and Metasurfaces for 5G and Space PhD
Advanced Crystallisation Techniques for Sustainable Battery Recycling and Wastewater Treatment PhD
Advanced Modelling of Carbon Black Morphology in Methane Pyrolysis for CO2-Free Hydrogen Production PhD
Advancing AI-Driven Robotics for Injury Rehabilitation Transform the Future of Medical Robotics with Cutting-Edge Research PhD
Agricultural Robot Navigation in Complex Farm and Rugged Terrain Environments Using Deep Reinforcement Learning AI. PhD
An Integrated Approach for Damage Identification in Composite Materials PhD
Antimicrobial Gels for Biomedical Applications PhD
Application of Machine Learning for Job Scheduling in Computing Clouds PhD
Artificial Intelligence-Assisted Modular Metabolic Engineering for Netzero Commodity Manufacture PhD
Beyond Normal - Proteins in Alien Environments PhD
BioDyes - Expanding the Scope of Renewed and Renewable Textiles
Building Community Climate Resilience with Large Language Models and Remote Sensing PhD
CSC PhD Studentship in Exploring Advanced Materials for Wearable Sensors PhD
Catalytic And Adsorption Properties Of Polymeric Silver And Zinc Oxide Stabilized Nanocomposites Decorated On Reduced Graphene Oxide PhD
Cell Mechanics and Tumour Growth PhD
Cellular Automaton to Model Rapid Crystal Growth and Recrystallisation PhD
Cognitive Monitoring of Human Operators using Multi-modal Artificial Intelligence PhD
Continuous Manufacturing Of Nano-Assemblies For Mrna Based Therapies And Vaccines: From Batch To Industry Scale PhD
Countering Cyberattacks in Autonomous Vehicles PhD
Cryptographic Primitives for Symmetric Cryptography PhD
Crystallisation with 3D Printing Template and Hydrogel Templates PhD
Data and AI Powered Turbulence Modelling for Fusion Energy Cooling Flows PhD
Design and fabrication Custom Foot Orthotics PhD
Design of Programmable Mechanical Metamaterials PhD
Developing Diffusion Models for Electric Vehicle: Spatial-temporal analysis and Policy Evaluation PhD
Developing Natural Surfactants from Biomass for Industrial Applications PhD
Development of New Digital Technologies and Generative Artificial Intelligence Tools For The Next Generation Green-By-Design and Sustainable Pharmaceuticals PhD
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Dynamic Deformation, Damage and Fracture Of Composites PhD
Energy Efficiency Optimisation of Electric Vehicles In Dynamic Driving Scenarios PhD
Engineering New Materials for Solid-State Cooling Phd
Enhancing Human-Robot Interaction: Leveraging Artificial Intelligence for Emotional Intelligence in Robotics PhD
Unveiling Molecular Mechanisms of the Beneficial Impact of Exercise on Cancer Metabolism PhD
Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (6)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (6)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD