Model-Based Parametric Study of Surface-Breaking Defect Characterization Using Half-Skip Total Focusing Method

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Search: onr:"swepub:oai:DiVA.org:ltu-97004" > Model-Based Paramet...

1 of 1
Previous record
Next record
To hitlist

Details
MARC

Lei, Xiangyu,1992Department of Industrial and Materials Science (IMS), Chalmers University of Technology, 41296, Gothenburg, Sweden,Department of Industrial and Materials Science (IMS), Chalmers University of Technology, Gothenburg (SWE),Chalmers tekniska högskola,Chalmers University of Technology (author)

Model-Based Parametric Study of Surface-Breaking Defect Characterization Using Half-Skip Total Focusing Method

Article/chapterEnglish2023

Publisher, publication year, extent ...

Springer Nature,2023
electronicrdacarrier

Numbers

LIBRIS-ID:oai:DiVA.org:ltu-97004
https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-97004URI
https://doi.org/10.1007/s10921-023-00949-7DOI
https://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-19987URI
https://research.chalmers.se/publication/535613URI

Supplementary language notes

Language:English
Summary in:English

Part of subdatabase

SwePubSwePub

Classification

Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

Notes

Validerad;2023;Nivå 2;2023-05-04 (hanlid)
CC BY 4.0
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.

Subject headings and genre

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Annan elektroteknik och elektronik hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
TEKNIK OCH TEKNOLOGIER Materialteknik Bearbetnings-, yt- och fogningsteknik hsv//swe
ENGINEERING AND TECHNOLOGY Materials Engineering Manufacturing, Surface and Joining Technology hsv//eng
NATURVETENSKAP Fysik Annan fysik hsv//swe
NATURAL SCIENCES Physical Sciences Other Physics Topics hsv//eng
TEKNIK OCH TEKNOLOGIER Maskinteknik Strömningsmekanik och akustik hsv//swe
ENGINEERING AND TECHNOLOGY Mechanical Engineering Fluid Mechanics and Acoustics hsv//eng
NATURVETENSKAP Data- och informationsvetenskap Datorseende och robotik hsv//swe
NATURAL SCIENCES Computer and Information Sciences Computer Vision and Robotics hsv//eng
TEKNIK OCH TEKNOLOGIER Medicinteknik Medicinsk bildbehandling hsv//swe
ENGINEERING AND TECHNOLOGY Medical Engineering Medical Image Processing hsv//eng
Ultrasonic array
Defect characterization
Total focusing method
Simulation
simSUNDT
Signalbehandling
Signal Processing
Production Technology

Added entries (persons, corporate bodies, meetings, titles ...)

Wirdelius, HåkanHögskolan Väst,Avdelningen för avverkande och additativa tillverkningsprocesser (AAT),KAMPT,University West(Swepub:cth)hakwir (author)
Carlson, Johan E.,1973-Luleå tekniska universitet,Signaler och system,Division of Signals and Systems, Luleå University of Technology, 97187, Luleå (SWE),Luleå tekniska universitet (LTU),Luleå University of Technology (LTU)(Swepub:ltu)johanc (author)
Department of Industrial and Materials Science (IMS), Chalmers University of Technology, 41296, Gothenburg, SwedenDepartment of Industrial and Materials Science (IMS), Chalmers University of Technology, Gothenburg (SWE) (creator_code:org_t)

Related titles

In:Journal of nondestructive evaluation: Springer Nature42:20195-92981573-4862

Internet link

Find in a library

Journal of nondestructive evaluation (Search for host publication in LIBRIS)

To the university's database

1 of 1
Previous record
Next record
To hitlist

Find more in SwePub

By the author/editor: Lei, Xiangyu, 19 ...; Wirdelius, Håkan; Carlson, Johan E ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Other Electrical ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Materials Engine ...; and Manufacturing Su ...

NATURAL SCIENCES: NATURAL SCIENCES; and Physical Science ...; and Other Physics To ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Mechanical Engin ...; and Fluid Mechanics ...

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Vision ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Medical Engineer ...; and Medical Image Pr ...

Articles in the publication: Journal of nonde ...

By the university: Luleå University of Technology; University West; Chalmers University of Technology

Search outside SwePub

Extend your search to:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se