Component shape optimisation for enhanced non-destructive testing
Singh, J. and Mulholland, A.J. and Tant, K.M.M. and Stratoudaki, T. and Curtis, A. and Ijomah, W. and Windmill, J.F.C. (2020) Component shape optimisation for enhanced non-destructive testing. Materials & Design, 195. 109041. ISSN 0264-1275 (https://doi.org/10.1016/j.matdes.2020.109041)
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Abstract
Determining an optimal component design is fundamental to many applications including many of those in the aerospace, automotive and civil engineering industries. Previously, the compatibility of the component with future non-destructive testing (NDT) requirements has not been considered at the design stage. As a result, NDT operators are often challenged to reliably inspect components with complex geometries. In this paper, a framework is proposed for the optimisation of a component’s shape to maximise the sensitivity and coverage of an interrogating ultrasonic wave, thus enhancing the ability to non-destructively image defects. The design of beam cross-sections are optimised using both a low-dimensional parameterisation with a genetic algorithm, and the level set method which enables more degrees of freedom in the component shape parameterisation. Images of flaws computed using the total focusing method show an 8 dB improvement in the signal to noise ratio for the optimised component as well as a five-fold improvement in the estimate of flaw size. These results show that the NDT-optimised design of components can provide significant improvements in flaw imaging. This in turn assists in extending the lifespan of in-service components and indeed their remanufacturability, which is both environmentally and economically advantageous.
ORCID iDs
Singh, J., Mulholland, A.J., Tant, K.M.M. ORCID: https://orcid.org/0000-0003-4345-7054, Stratoudaki, T. ORCID: https://orcid.org/0000-0002-7462-8664, Curtis, A., Ijomah, W. and Windmill, J.F.C. ORCID: https://orcid.org/0000-0003-4878-349X;-
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Item type: Article ID code: 73570 Dates: DateEvent31 October 2020Published8 August 2020Published Online4 August 2020AcceptedSubjects: Technology > Manufactures Department: Faculty of Science > Mathematics and Statistics
Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Design, Manufacture and Engineering Management
Strategic Research Themes > Measurement Science and Enabling Technologies
Strategic Research Themes > Innovation Entrepreneurship
Strategic Research Themes > Health and Wellbeing
Strategic Research Themes > Advanced Manufacturing and Materials
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 12 Aug 2020 13:46 Last modified: 11 Nov 2024 12:47 URI: https://strathprints.strath.ac.uk/id/eprint/73570