Tornalanmış yüzey imgeleri gri ton ortalama değerlerinin takım aşınması ile ilişkisinin incelenmesi

Year 2023, Volume: 21 Issue: 2, 81 - 88, 24.11.2023

Muzaffer Tacettin Küllaç , Olkan Çuvalcı

https://doi.org/10.56193/matim.1269179

Abstract

Tornalama işlemlerinde takım aşınmasının gerçek zamanlı takibiyle, kesici takımı daha verimli kullanmak ve aşınmaya bağlı ölçü/tolerans ve yüzey hatalarını en aza indirmek mümkün olabilir. Tornalanmış yüzey imgeleri üzerinden yanak aşınmasına dair bir çıkarım ve tahminde bulunmak mevcut yöntemlere bir alternatif olarak bir çok araştırmacı tarafından çalışılmaktadır. Bu çalışmada aşınmaya bağlı parlaklık değişiminin gözlemlenmesi amacı ile tornalanmış yüzey imgeleri gri ton ortalamaları bir öznitelik olarak çıkarılmış ve aşınma ile uyum istatistikleri incelenmiştir. Farklı kesme parametreleri ile gerçekleştirilen deneyler sonrası aşınma ile gri ton ortalamaları arasında düşük uyumlu fakat dinamik olarak benzer bir değişim bulunmuştur.

Keywords

Tornalama, Takım Aşınması Takibi, Görüntü İşleme

Investigation of the relationship between the gray scale average values of turned surface images and tool wear

Abstract

With real-time monitoring of tool wear in turning operations, it may be possible to use the cutting tool more efficiently and to minimize wear-related size/tolerance and surface errors. Inference and estimation of flank wear from turned surface images has been studied by many researchers as an alternative to existing methods. In this study, the gray tone averages of the turned surface images were extracted as a feature in order to observe the change in reflectivity due to wear, and the wear and correlation statistics were examined. After experiments with different cutting parameters, a low correlate but dynamically similar change was found between wear and gray tone averages.

Keywords

Turning, Tool Wear Monitoring, İmage Processing

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