Probability of Defects Detection in Welded Joints using the Magnetic Particle Method

• Autorzy: Alvarado Jorge Wilfredo Vera , Garcia Luis Fernando Caballero , Neira Martin Taboada , Flores Jhonny Wilfredo Valverde

Identyfikatory

DOI

10.24425/amm.2024.149789

• Języki publikacji: EN

Abstrakty

EN

The probability of defects detection (POD) is developed as an efficient tool to evaluate the detection capacity of non-destructive testing methods. An experimental study has been carried out applying the magnetic particle test method with an electromagnetic yoke on welded steel joints, which contained surface defects previously characterized in shape, size and location. The test conditions were varied, such as the type of magnetization current, and the type of magnetic particle. The probability of detecting defects in welded joints evaluated by the Hit/miss method increased with the size of the defect, independent of its shape factor. Smaller defects were likely to be detected with dry magnetic particles compared to wet fluorescent ones, a₅₀ (2,118 mm ˂ 2,469 mm), a₉₀ (6,395 mm ˂ 6,77 mm) and a_90/95 (12,12 mm ˂ 12,19 mm).

Słowa kluczowe

EN

magnetic particle testing; MT; probability of detection; POD; welding defects; detection capacity; non-destructive testing; NDT

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2024
• Tom: Vol. 69, iss. 2
• Strony: 607--612
• Opis fizyczny: Bibliogr. 30 poz., fot., rys., tab.

Twórcy

autor

Alvarado Jorge Wilfredo Vera

• Universidad Nacional de Trujillo, Trujillo, Perú

• https://orcid.org/0000-0001-8932-6119

autor

Garcia Luis Fernando Caballero

• Universidad Nacional de Trujillo, Trujillo, Perú

• https://orcid.org/0000-0002-6738-7743

autor

Neira Martin Taboada

• Universidad Nacional de Trujillo, Trujillo, Perú

• https://orcid.org/0000-0003-4462-1012

autor

Flores Jhonny Wilfredo Valverde

• Universidad Nacional Agraria La Molina, Lima, Perú

• https://orcid.org/0000-0003-2526-112X

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Uwagi

To the National University of Trujillo for financing the project through the V Call for Science and Technology Projects, with Public Funds from Canon 2021.