Project Details
Description
"Many high-value manufactured components that are made in the UK are used in safety critical structures such as nuclear plants and aircraft engines. Such components must be checked periodically for the presence of flaws and other precursors to the component failing. This is performed at various stages in the lifetime of the component: at the manufacturing stage, periodically while the component is in service, and to assess the component for remanufacturing at the end of its lifetime.
Components must be checked non-destructively, which is challenging; normally the component's design is not optimised to maximise the probability of detecting a flaw using non-destructive evaluation (NDE). The Engineering Design Challenge is to bring NDE considerations into the design engineer's virtual design toolbox.
This project aims to enable design engineers to optimise the design of a given component such that they maximise their ability thereafter to test this component non-destructively for the presence of any flaws. Thus flaw-detectability will used as an additional design criterion. This will also help in remanufacturing as we will be more able to assess the integrity of used components. In this way we will improve society by having safer aircraft, nuclear plants and oil pipelines, improve the environment by having fewer wasted components and using less energy, and improve the UK economy by developing the UK's expertise in these high value sectors.
The most common modality in non-destructive evaluation of these safety critical structures is ultrasound transducer imaging. The Centre for Ultrasonic Engineering (CUE) at the University of Strathclyde has extensive experience in the computer simulation and mathematical modelling of ultrasonic transducers and in their use in NDE. They are ideally placed to develop such a software platform. The University of Strathclyde also hosts the Scottish Institute for Remanufacture (SIR), so the project will utilise the research expertise in this area in conjunction with that of CUE. This project will enable CUE and SIR to form a new alliance with experimental design and tomographic imaging experts from the School of Geosciences at the University of Edinburgh. In the Geosciences, sophisticated imaging methods are used to image the Earth's subsurface, and design theory is developed to optimise imaging array geometries and methods. This combined capability will enable the joint project team to develop a virtual environment where techniques for designing and imaging the internal structures of safety critical components can be assessed and optimised."
Components must be checked non-destructively, which is challenging; normally the component's design is not optimised to maximise the probability of detecting a flaw using non-destructive evaluation (NDE). The Engineering Design Challenge is to bring NDE considerations into the design engineer's virtual design toolbox.
This project aims to enable design engineers to optimise the design of a given component such that they maximise their ability thereafter to test this component non-destructively for the presence of any flaws. Thus flaw-detectability will used as an additional design criterion. This will also help in remanufacturing as we will be more able to assess the integrity of used components. In this way we will improve society by having safer aircraft, nuclear plants and oil pipelines, improve the environment by having fewer wasted components and using less energy, and improve the UK economy by developing the UK's expertise in these high value sectors.
The most common modality in non-destructive evaluation of these safety critical structures is ultrasound transducer imaging. The Centre for Ultrasonic Engineering (CUE) at the University of Strathclyde has extensive experience in the computer simulation and mathematical modelling of ultrasonic transducers and in their use in NDE. They are ideally placed to develop such a software platform. The University of Strathclyde also hosts the Scottish Institute for Remanufacture (SIR), so the project will utilise the research expertise in this area in conjunction with that of CUE. This project will enable CUE and SIR to form a new alliance with experimental design and tomographic imaging experts from the School of Geosciences at the University of Edinburgh. In the Geosciences, sophisticated imaging methods are used to image the Earth's subsurface, and design theory is developed to optimise imaging array geometries and methods. This combined capability will enable the joint project team to develop a virtual environment where techniques for designing and imaging the internal structures of safety critical components can be assessed and optimised."
| Status | Finished |
|---|---|
| Effective start/end date | 1/09/16 → 31/01/21 |
Funding
- EPSRC (Engineering and Physical Sciences Research Council): £516,919.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Deep learning based inversion of locally anisotropic weld properties from ultrasonic array data
Singh, J., Tant, K. M. M., Mulholland, A. & MacLeod, C. N., 6 Jan 2022, In: Applied Sciences. 12, 2, 17 p., 532.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Link opens in a new tab Citations (Scopus)69 Downloads (Pure) -
Real-time super-resolution mapping of locally anisotropic grain orientations for ultrasonic non-destructive evaluation of crystalline material
Singh, J., Tant, K. M. M., Curtis, A. & Mulholland, A., 20 Nov 2021, (E-pub ahead of print) In: Neural Computing and Applications. 18 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Link opens in a new tab Citations (Scopus)31 Downloads (Pure) -
Real-time grain orientation mapping of anisotropic media for improved ultrasonic non-destructive evaluation
Singh, J., Tant, K., Curtis, A. & Mulholland, A., 12 Nov 2021, 2021 IEEE International Ultrasonics Symposium (IUS). Piscataway, NJ.: IEEE, p. 1-4 4 p. (IEEE International Ultrasonics Symposium, IUS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Datasets
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FMC dataset - 3mm side drilled hole 304ss MMA weld
Tant, K. M. M. (Creator), University of Strathclyde, 10 Aug 2017
DOI: 10.15129/60b6a5b8-e78e-4742-8414-aaba9399a9c8
Dataset
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Data for: "Design-for-testing for improved remanufacturability"
Tant, K. M. M. (Creator), University of Strathclyde, 13 Sept 2018
DOI: 10.15129/ed8564a2-ad9f-4ba3-9769-c6a4980af17c, https://pzflex.com/
Dataset