Temat: welding defects - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints
Autorzy:: Mishra, Akshansh
Powiązania:: https://bibliotekanauki.pl/articles/2105144.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Lotnictwa
Tematy:: Machine Vision
Surface Defects
Friction Stir Welding
Python programming
Opis:: Friction Stir Welding joint quality depends on input parameters such as tool rotational speed, tool traverse speed, tool tilt angle and an axial force. Surface defects formation occurs when these input parameters are not selected properly. The main objective of the recent paper is to develop Discrete Wavelet Transform algorithm by using Python programming and further subject it to the Friction Stir Welded samples for the identification of various external surface defects present.
Źródło:: Fatigue of Aircraft Structures; 2020, 12; 27--35
2081-7738
2300-7591
Pojawia się w:: Fatigue of Aircraft Structures
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Local binary pattern defect recognition approach for the friction stir welded AA 1200 and AA 6061-T6 aluminum alloy
Autorzy:: Mishra, Akshansh
Powiązania:: https://bibliotekanauki.pl/articles/95297.pdf
Data publikacji:: 2020
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: local binary patterns
friction stir welding
machine learning
surface defects
lokalne wzorce binarne
zgrzewanie tarciowe z mieszaniem materiału
zgrzewanie tarciowe z przemieszaniem
FSW
uczenie maszynowe
wady powierzchni
Opis:: The research reported in this paper focuses on the application of local binary patterns (LBPs) for surface defects detection. The surface defection detection algorithm for friction stir welded aluminum plates is the key part of the entire surface defect recognition system. Two different grades i.e AA 1200 and AA 6061 plates were similarly joined with the help of Friction Stir Welding process. Python codes for the proposed algorithm were executed on Google Colaboratory platform. The results obtained prove that the local binary patterns method can be used for real-time surface defects detection in friction stir welded joints.
Źródło:: Journal of Mechanical and Energy Engineering; 2020, 4, 1; 27-32
2544-0780
2544-1671
Pojawia się w:: Journal of Mechanical and Energy Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

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