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

Nikita H Gandhi*, Rob Rose, Anthony J Croxford, Carwyn Ward

*Corresponding author for this work

Research output: Contribution to journalSpecial issue (Academic Journal)peer-review

3 Citations (Scopus)
124 Downloads (Pure)

Abstract

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.
Original languageEnglish
Article number71
JournalJournal of Manufacturing and Materials Processing
Volume6
Issue number4
DOIs
Publication statusPublished - 2 Jul 2022

Bibliographical note

Funding Information:
Acknowledgments: The technical and financial support provided by the National Composites Centre is appreciated. The authors acknowledge the µ-VIS Imaging Centre at the University of Southampton for provision of tomographic imaging facilities, supported by EPSRC grant EP-H01506X.

Funding Information:
Funding: This research was supported by the Engineering and Physical Sciences Research Council through the EPSRC Centre for Doctoral Training in Composites Manufacture (grant: EP/L015102/1); and The Future Composites Manufacturing Hub (grant: EP/P006701/1).

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Non-destructive testing
  • knowledge management
  • design for inspection
  • six sigma

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