| EPSRC Reference: |
EP/V022687/1 |
| Title: |
Patterns recognition inside shear bands: tailoring microstructure against localisation |
| Principal Investigator: |
Borodin, Dr I |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Mechanical Aerospace and Civil Eng |
| Organisation: |
University of Manchester, The |
| Scheme: |
New Investigator Award |
| Starts: |
01 April 2021 |
Ends: |
31 March 2023 |
Value (£): |
282,347
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| EPSRC Research Topic Classifications: |
| Algebra & Geometry |
Eng. Dynamics & Tribology |
| Materials testing & eng. |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
In spite of decades of investigations and a large number of works devoted to localisation phenomena in metals, this area contains challenges in terms of scientific understanding and industrial applications. Our view is that the main reason for the present insufficient understanding is the neglect of structural features' evolution during the supplementary continuous recrystallization process, leading to absence of any effective methodology for localised microstructure representation. Neglecting effects of patterning into the network of structural defects, such as grain boundaries, makes the problem unsolvable with current approaches.
An essential part of the present project is reformulation and adaptation of some well-developed modern mathematical tools for structure recognition along with the application of our own original approach to continuous dynamic recrystallization to fill the discussed gap in material physics. Based on the analysis of discrete complexes and graph (or network) theory we will be studying the defect patterns which contribute to shear localisation and fracture initiation. High-strain-rate deformation conditions, as a limit case, give us a unique opportunity to make this study in the purest possible way to set apart the localisation phenomena from many other contributions, such as bulk diffusion or scale effects.
Modern experimental methodologies such as 3D EBSD and X-ray tomography in conjunction with proposed discrete theoretical analyses for patterns recognition (during the grain boundary network evolution) open inspirational possibilities in order to make a new significant step forward to solve the localisation problem. Subsequently, we will work closely with our industrial partners and HVM Catapult (Advanced Forming Research) centre for bespoke manufacturing of aluminium alloys possessing the "fine-drawn" defect microstructures discovered in the course of this project.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.man.ac.uk |