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Validation of models for Laser Ultrasonic spectraas a function of the grain size in steel
Chalmers University of Technology, Sweden.
RISE - Research Institutes of Sweden, Swerea, Swerea KIMAB.
TNO, The Netherlands.
TNO, The Netherlands.
Show others and affiliations
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

To reduce costs of production and increase economic sustainability it is necessary to introducequality assessment in an early stage in the manufacturing process. In the European project(Product Uniformity Control – PUC), the intention is to use ultrasonic information to assessmicrostructure parameters that are related to macroscale qualities such as mechanicalproperties. Laser induced ultrasonic technique (LUS) requires no media and can generate anddetect ultrasonic information at some distance from the component. This technique is thereforeaddressed within this project as a solution to measure ultrasonic properties in an industrialenvironment.Mathematical modelling of the ultrasonic wave propagation problem has been used in order toget a deeper understanding of the physics and to identify ultrasonic properties that can be usedas an indirect measurement of grain size. The use of both analytical and numerical modelsenabled extensive parametric studies together with investigation of ultrasonic interactions withwell-defined individual microstructures.The LUS technique has previously been applied to e.g. monitor grain growth duringthermomechanical processing of metals. These applications identified and used a correlationwith the frequency content of the attenuation. This have been investigated as a possible indirectmeasurement of grain size, also in this project. The models have been used to verify thecorrelations and to evaluate different procedures that could be applied as an industrial solution.The suggested procedure is based on deconvolving two successive echoes and has beenexperimentally validated by two different LUS systems. The reference samples used in thevalidation were produced by changing the annealing temperature and time to obtain a variationin grain sizes. These grain sizes were then identified by EBSD and the samples were examinedin terms of grain size influence on spectral attenuation.

Place, publisher, year, edition, pages
2018.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34849OAI: oai:DiVA.org:ri-34849DiVA, id: diva2:1239700
Conference
12th ECNDT
Available from: 2018-08-17 Created: 2018-08-17 Last updated: 2018-08-17Bibliographically approved

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CiteExportLink to record
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  • apa
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