Creation of an intelligent machining system to adapt to structural variability in safety critical titanium alloy components
Lead Research Organisation:
University of Nottingham
Department Name: Faculty of Engineering
Abstract
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Organisations
Publications
Brown M
(2022)
On deformation characterisation of machined surfaces and machining-induced white layers in a milled titanium alloy
in Journal of Materials Processing Technology
Brown M
(2021)
Non-destructive detection of machining-induced white layers through grain size and crystallographic texture-sensitive methods
in Materials & Design
Dryburgh P
(2022)
Measurement of the single crystal elasticity matrix of polycrystalline materials
in Acta Materialia
Li W
(2023)
Imaging Microstructure on Optically Rough Surfaces Using Spatially Resolved Acoustic Spectroscopy
in Applied Sciences
Patel R
(2021)
Single pixel camera methodologies for spatially resolved acoustic spectroscopy
in Applied Physics Letters
| Description | The finding from this project have contributed to wider thinking on the elasticity of advanced engineering metals which in turn has spurred on more research into the measurement of elastic constants. This has kick off another EPSRC project on the elastic constant measurement supported by 5 international companies and 7 Universities. It has also informed developments into so-called gradient materials where the microstructural properties are deliberately engineered as a function of position. These are of fundamental and industry interest for gaining materials where the properties can be designed and manufacturer in much the same way as form can at present. This further contributed to the first international workshop on quality assurance in gradient materials (Austin, TX August 22). |
| First Year Of Impact | 2022 |
| Sector | Aerospace, Defence and Marine,Manufacturing, including Industrial Biotechology,Transport |