2010
DOI: 10.1016/j.proeng.2010.09.377
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Magnetic flux leakage measurement setup for defect detection

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Cited by 14 publications
(5 citation statements)
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“…Atzlesberger [54] applied four giant magnetoresistance (GMR) sensors in the experiment to examine a blind hole in ferro magnetic material. However, the sensor likely more sensitive than Anisotropic Magneto Resistor (AMR) due to the design known to have a sensitive axis and nonsensitive axis orthogonally [55].…”
Section: Magnetoresistance (Mr) Sensormentioning
confidence: 99%
“…Atzlesberger [54] applied four giant magnetoresistance (GMR) sensors in the experiment to examine a blind hole in ferro magnetic material. However, the sensor likely more sensitive than Anisotropic Magneto Resistor (AMR) due to the design known to have a sensitive axis and nonsensitive axis orthogonally [55].…”
Section: Magnetoresistance (Mr) Sensormentioning
confidence: 99%
“…MKA yöntemi test işleminde, materyalin iç yapısına nüfuz edecek şekilde manyetik alan uygulanır ve yüzeyden yansıyan manyetik alan değişimleri ölçülür. Materyalin kusurlu bölgelerinde oluşan manyetik kaçak akılar, alınan işaretler üzerinde farklı genlikli değişimler üreterek kusurlu bölgelerin tespit edilmesini sağlar [7]. Bununla birlikte, materyal yüzeyi boyunca küçük değişimler gösteren manyetik geçirgenlik ve yüzey pürüzlülüğü gibi nedenlerle MKA işaretleri üzerinde gürültüler oluşmaktadır.…”
Section: Introductionunclassified
“…They showed that the MFL method is capable of detecting internal damage (i.e., breakage and cross-sectional damage) for accessible parts of the specimen, while the MGW method can accurately detect unreachable defects such as breakage inside an anchor of a bridge cable. Johannes Atzlesberger et al [22] tried to detect medium-size artificial defects in ferromagnetic specimens using MFL principles and a giant magnetoresistive (GMR) sensor. According to their experimental results, accurate detection, even in the case of small blemishes, was observed.…”
Section: Introductionmentioning
confidence: 99%