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Computational Modelling of Sustainable Alloys PhD The production of primary steel and aluminium uses a huge amount of resources and causes significant environmental damage, leading to a large effort to recycle these high-value alloys. However, the composition and microstructure of the alloys has to be tightly controlled as impurities during processing forms damaging microstructural defects and secondary phases. It is possible to add refiners and modifiers to mitigate this problem, but many of the existing additions have been discovered by chance. To allow more control of structure during the solidification stage as the amount of recycled content is increased, a more rational understanding of the additions would advance the science for sustainable alloys and enhance metal recyclability. This research will bring about environmental and economic benefits, and play an important part in accelerating the progression towards net zero in the UK and globally. In this PhD project, the student will lead on computational methods, including molecular dynamics (MD) simulations, to understand, at the atomic scale, the ‘modifying’ effect of minor additions on second phase formation and growth by assessing, e.g., their influence on the solid/liquid interfacial free energy. The project involves working within a larger team that will verify the models using electron microscopy and x-ray techniques (both on the laboratory scale and at central facilities). This project forms part of an ambitious and collaborative EPSRC-funded project (Artificial Intelligence X-ray Imaging for Sustainable Metal Manufacturing - AIXISuMM) which combines research expertise at Loughborough University, The University of Oxford and the Science and Technology Facilities Council (STFC). The project will offer the opportunity to work in collaboration with researchers at the other institutions.
Programme overview
Main Subject
Materials Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Computational Modelling of Sustainable Alloys PhD The production of primary steel and aluminium uses a huge amount of resources and causes significant environmental damage, leading to a large effort to recycle these high-value alloys. However, the composition and microstructure of the alloys has to be tightly controlled as impurities during processing forms damaging microstructural defects and secondary phases. It is possible to add refiners and modifiers to mitigate this problem, but many of the existing additions have been discovered by chance. To allow more control of structure during the solidification stage as the amount of recycled content is increased, a more rational understanding of the additions would advance the science for sustainable alloys and enhance metal recyclability. This research will bring about environmental and economic benefits, and play an important part in accelerating the progression towards net zero in the UK and globally. In this PhD project, the student will lead on computational methods, including molecular dynamics (MD) simulations, to understand, at the atomic scale, the ‘modifying’ effect of minor additions on second phase formation and growth by assessing, e.g., their influence on the solid/liquid interfacial free energy. The project involves working within a larger team that will verify the models using electron microscopy and x-ray techniques (both on the laboratory scale and at central facilities). This project forms part of an ambitious and collaborative EPSRC-funded project (Artificial Intelligence X-ray Imaging for Sustainable Metal Manufacturing - AIXISuMM) which combines research expertise at Loughborough University, The University of Oxford and the Science and Technology Facilities Council (STFC). The project will offer the opportunity to work in collaboration with researchers at the other institutions.
Admission Requirements
3.2+
6.5+
92+
14 Feb 2025
3 Years
Jul
Oct
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Computational Modelling of Sustainable Alloys PhD
Loughborough University, Loughborough, United Kingdom
# 151-200QS Subject Rankings
36 monthsProgramme duration
14 Feb, 2025Application Deadline
Materials SciencesMain Subject Area
Programme overview
Main Subject
Materials Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The production of primary steel and aluminium uses a huge amount of resources and causes significant environmental damage, leading to a large effort to recycle these high-value alloys.
However, the composition and microstructure of the alloys has to be tightly controlled as impurities during processing forms damaging microstructural defects and secondary phases. It is possible to add refiners and modifiers to mitigate this problem, but many of the existing additions have been discovered by chance.
To allow more control of structure during the solidification stage as the amount of recycled content is increased, a more rational understanding of the additions would advance the science for sustainable alloys and enhance metal recyclability. This research will bring about environmental and economic benefits, and play an important part in accelerating the progression towards net zero in the UK and globally.
In this PhD project, the student will lead on computational methods, including molecular dynamics (MD) simulations, to understand, at the atomic scale, the ‘modifying’ effect of minor additions on second phase formation and growth by assessing, e.g., their influence on the solid/liquid interfacial free energy.
The project involves working within a larger team that will verify the models using electron microscopy and x-ray techniques (both on the laboratory scale and at central facilities).
This project forms part of an ambitious and collaborative EPSRC-funded project (Artificial Intelligence X-ray Imaging for Sustainable Metal Manufacturing - AIXISuMM) which combines research expertise at Loughborough University, The University of Oxford and the Science and Technology Facilities Council (STFC). The project will offer the opportunity to work in collaboration with researchers at the other institutions.
Programme overview
Main Subject
Materials Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The production of primary steel and aluminium uses a huge amount of resources and causes significant environmental damage, leading to a large effort to recycle these high-value alloys.
However, the composition and microstructure of the alloys has to be tightly controlled as impurities during processing forms damaging microstructural defects and secondary phases. It is possible to add refiners and modifiers to mitigate this problem, but many of the existing additions have been discovered by chance.
To allow more control of structure during the solidification stage as the amount of recycled content is increased, a more rational understanding of the additions would advance the science for sustainable alloys and enhance metal recyclability. This research will bring about environmental and economic benefits, and play an important part in accelerating the progression towards net zero in the UK and globally.
In this PhD project, the student will lead on computational methods, including molecular dynamics (MD) simulations, to understand, at the atomic scale, the ‘modifying’ effect of minor additions on second phase formation and growth by assessing, e.g., their influence on the solid/liquid interfacial free energy.
The project involves working within a larger team that will verify the models using electron microscopy and x-ray techniques (both on the laboratory scale and at central facilities).
This project forms part of an ambitious and collaborative EPSRC-funded project (Artificial Intelligence X-ray Imaging for Sustainable Metal Manufacturing - AIXISuMM) which combines research expertise at Loughborough University, The University of Oxford and the Science and Technology Facilities Council (STFC). The project will offer the opportunity to work in collaboration with researchers at the other institutions.
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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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