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  • 1.
    Lei, Xiangyu
    et al.
    Department of Industrial and Materials Science (IMS), Chalmers University of Technology, Gothenburg (SWE).
    Wirdelius, Håkan
    Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för avverkande och additativa tillverkningsprocesser (AAT).
    Carlson, Johan E.
    Division of Signals and Systems, Luleå University of Technology, 97187, Luleå (SWE).
    Model-Based Parametric Study of Surface-Breaking Defect Characterization Using Half-Skip Total Focusing Method2023Inngår i: Journal of nondestructive evaluation, ISSN 0195-9298, E-ISSN 1573-4862, Vol. 42, nr 2, s. 1-12Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    As the demand of structural integrity in manufacturing industries is increasing, the ultrasonic array technique has drawn more attention thanks to its inspection flexibility and versatility. By taking advantage of the possibility of individual triggering of each array element, full matrix capture (FMC) data acquisition strategy has been developed that contains the entire information of an inspection scenario. Total focusing method (TFM) as one of the ultrasonic imaging algorithms, is preferably applied to FMC dataset since it uses all information in FMC to synthetically focus the sound energy at every image pixel in the region of interest. Half-skip TFM (HSTFM) is proposed in multi-mode TFM imaging that involves a backwall reflection wave path, so that the defect profile could be reconstructed for accurate defect characterization. In this paper, a method involving Snell’s law-based wave mode conversion is proposed to account for more reasonable wave propagation time when wave mode conversion happens at backwall reflection in HSTFM. A series of model based simulations (in software simSUNDT) are performed for parametric studies, with the intention of investigating the capability of defect characterization using HSTFM with varying tilt angle and relative position of surface-breaking notch to array probe. The results show that certain TFM modes could help with defect characterization, but the effectiveness is limited with varying defect features. It is inappropriate to address a certain mode for all characterization perspectives but rather a combination, i.e., multi-mode TFM, should be adopted for possible interpretation and characterization of defect features.

    Fulltekst (pdf)
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  • 2.
    Lei, Xiangyu
    et al.
    Department of Industrial and Materials Science (IMS), Chalmers University of Technology, 41296, Göteborg (SWE).
    Wirdelius, Håkan
    Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för avverkande och additativa tillverkningsprocesser (AAT).
    Rosell, Anders
    GKN Aerospace Sweden AB, Flygmotorvägen 1, 46181, Trollhättan (THN).
    Simulation-Based Investigation of a Probability of Detection (POD) Model Using Phased Array Ultrasonic Testing (PAUT) Technique2022Inngår i: Journal of nondestructive evaluation, ISSN 0195-9298, E-ISSN 1573-4862, Vol. 41, nr 2, artikkel-id 40Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Probability of detection (POD) as a metric for quantifying the capability of inspection procedures in nondestructive evaluation (NDE), has been applied and evolved in industries since 1970s. Progress had been noted when certain statistical functions were brought up to model POD behavior, including log-normal model (also referred as Probit model). This model had been concluded to be the best fit and therefore has been widely used in many studies, while the involved assumptions and conditions were not carefully addressed and explored. To make flexible POD datasets available for specific inspection procedures and reduce the number of expensive experiments needed, model-assisted POD (MAPOD) is an alternative. This paper addresses a pure simulation-based POD procedure of an inspection scenario involving phased array ultrasonic testing (PAUT) on lack-of-fusion defects in additive manufactured (AM) components. The mathematical simulations are performed by an ultrasonic testing (UT) simulation software, simSUNDT, developed at Chalmers University of Technology in Sweden. Resulted inspection datasets with the proposed data processing steps are evaluated in terms of the assumptions and conditions of log-normal POD model, with the purpose of discussing the POD model validity under different circumstances. Simulation-based POD curves are finally compared with several discrete POD values at some defect sizes, calculated through massive computations from physics-model based metamodel. Comparisons and observations confirm satisfactory application of log-normal POD model despite some violations in model hypotheses.

    Fulltekst (pdf)
    fulltext
  • 3.
    Runnemalm, Anna
    et al.
    Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för automationssystem.
    Ahlberg, Jörgen
    Linköping University.
    Appelgren, Anders
    Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för automationssystem.
    Sjökvist, Stefan
    Termisk systemteknik AB.
    Automatic Inspection of Spot Welds by Thermography2014Inngår i: Journal of nondestructive evaluation, ISSN 0195-9298, E-ISSN 1573-4862, Vol. 33, nr 3, s. 398-406Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The interest for thermography as a method for spot weld inspection has increased during the last years since it is a full-field method suitable for automatic inspection. Thermography systems can be developed in different ways, with different physical setups, excitation sources, and image analysis algorithms. In this paper we suggest a single-sided setup of a thermography system using a flash lamp as excitation source. The analysis algorithm aims to find the spatial region in the acquired images corresponding to the successfully welded area, i.e., the nugget size. Experiments show that the system is able to detect spot welds, measure the nugget diameter, and based on the information also separate a spot weld from a stick weld. The system is capable to inspect more than four spot welds per minute, and has potential for an automatic non-destructive system for spot weld inspection. The development opportunities are significant, since the algorithm used in the initial analysis is rather simplified. Moreover, further evaluation of alternative excitation sources can potentially improve the performance.

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