Early detection of materials degradation

Meyendorf, Norbert

doi:10.1063/1.4974543

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…This presents a methodology that would provide recommendations on how to design a product so that effective inspection can be achieved [63][64][65]. A rudimentary decision-tool is discussed for complex NDT operations to support the designation of an interrogation method, whilst an inspectability index is suggested for assessment component suitability [66][67][68]; however, none of the instances that have reported the development or use of DFI are composites-related or have a clear direction for improvement. For the optimisation of inspections, a formalised model of testing the capabilities, phenomena of interest, and requirements with respect to the composite components that is accessible across multiple industrial sectors is necessary.…”

Section: Knowledge Management In Ndtmentioning

confidence: 99%

Understanding System Complexity in the Non-Destructive Testing of Advanced Composite Products

Gandhi

Rose

Croxford

et al. 2022

JMMP

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Non-destructive testing (NDT) is a quality control measure designed to ensure the safety of products according to established variability thresholds. With the development of advanced technologies and a lack of formalised knowledge of the state-of-the-art, the National Composites Centre, Bristol, has identified that the increasing complexity of composite products will lead to some severe inspection challenges. To address the apparent knowledge gap and understand system complexity, a formulaic approach to introduce intelligence and improve the robustness of NDT operations is presented. The systemic development of a high-fidelity knowledge base (KB) involves the establishment of a capability matrix that maps material, component, and defect configuration to the capabilities and limitations of selected detection methods. Population and validation are demonstrated through the experimental testing of reference standards and evaluated against an assessment criteria. System complexity in ultrasonic testing operations focusses on capturing the inherent risks in inspection and the designation of evidence-based path plans for automation platforms. Anticipated deployment of the validated applicability data within the KB will allow for road-mapping of the inspection technique development and will provide opportunities for knowledge-based decision making. Moreover, the KB highlights the need for Design for Inspection, providing measurable data that the methodology should not be ignored.

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