Design of an Acoustic Emission Robot used for Preliminary Detection of Shaft Internal Cracks
EGE ZİRVESİ 15. ULUSLARARASI UYGULAMALI BİLİMLER KONGRESİ, İzmir, Türkiye, 12 - 14 Haziran 2026, ss.347-348, (Özet Bildiri)
- Yayın Türü: Bildiri / Özet Bildiri
- Basıldığı Şehir: İzmir
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.347-348
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Çukurova Üniversitesi Adresli: Evet
Özet
A shaft crack is a fracture or discontinuity in a
rotating shaft caused by fatigue, stress concentration, or material defects.
Cracks typically begin on the surface and spread inwards. Shaft cracks are
extremely dangerous in rotating machinery. Because a small, undetectable defect
can develop into a complete shaft fracture within hours or days, leading to
serious equipment failure. Detection of internal cracks in solid shafts is
generally performed using non-destructive testing methods (Ultrasonic, magnetic
particle, and radiographic testing) that do not compromise the integrity of the
material. Hammer testing is another practical and traditional non-destructive
testing method often used to detect material integrity, cracks, or loose
connections. When a non-defective solid shaft is struck with a hammer to detect
cracks, a clear, ringing sound is produced. If there are cracks in or on the
shaft, the sound will be muffled, or the vibration will be dampened. In the
present study, crack detection within a solid shaft is performed by measuring
the sounds produced by four 20 mm diameter steel balls freely falling onto the
shaft from a distance of 365 mm using a decibel meter. The semi-automatic robot[1]
was developed as an alternative to the hammering method for the preliminary
detection of cracks. The surface areas to be tested by the steel balls can be
varied using a DC motor-driven screw shaft system. Experimental results have
demonstrated that the robot can produce rapid results per unit length, is
improvable, and can reduce maintenance costs.
[1] This study was carried out with
the support of the Çukurova University Scientific Research Projects Unit
(Project code: FBA-2023–16425).