Tornalanmış yüzey imgeleri gri ton ortalama değerlerinin takım aşınması ile ilişkisinin incelenmesi
Öz
Anahtar Kelimeler
Kaynakça
- 1. Nath, C., “Integrated Tool Condition Monitoring Systems and Their Applications: A Comprehensive Review”, Procedia Manufacturing, 2020, Volume 48, pp. 852-863.
- 2. Mohamed, A., Hassan, M., M’Saoubi, R., Attia, H., “Tool Condition Monitoring for High-Performance Machining Systems—A Review.”, Sensors 2022, 22, 2206.
- 3. Li, X., Liu, X., Yue, C., Liang, S.,Y., Wang, L.,“Systematic review on tool breakage monitoring techniques in machining operations,”, International Journal of Machine Tools and Manufacture,2022, Volume 176,103882.
- 4. Kassim, A., Mannan, M., Jing, M. “Machine tool condition monitoring using workpiece surface texture analysis.”, Machine Vision and Applications, 2000, vol. 11, pp. 257–263.
- 5. Ratnam, M.,M., “Factors Affecting Surface Roughness in Finish Turning”, Comprehensive Materials Finishing, 2017, vol. 1, pp. 1-25.
- 6. Ramamoorthy, B., Radhakrishnan, V., “Statistical approaches to surface texture classification”, Wear,1993, vol.167, pp.155-161.
- 7. Kassim, A.,A., Mannan, M.,A., ve Mian, Z.,” Texture analysis methods for tool condition monitoring”, Image and Vision Computing, 2007, vol. 25, pp. 1080-1090. 8. Diaz-Saldaña, G., Osornio-Rios, R.A., Cruz-Albarran, I.A., Trejo-Hernandez, M. and Antonino-Daviu, J.A., 2022, October. CNC lathe tool wear analysis using image processing and stray flux. In IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE.
- 9. Dutta, S., Pal, S.K. and Sen, R., 2016. Tool condition monitoring in turning by applying machine vision. Journal of Manufacturing Science and Engineering, 138(5). 10. Bhat, N.N., Dutta, S., Pal, S.K. and Pal, S., 2016. Tool condition classification in turning process using hidden Markov model based on texture analysis of machined surface images. Measurement, 90, pp.500-509.
Ayrıntılar
Birincil Dil
Türkçe
Konular
Makine Mühendisliği
Bölüm
Araştırma Makalesi
Yazarlar
Olkan Çuvalcı
0000-0001-8596-5941
Türkiye
Yayımlanma Tarihi
24 Kasım 2023
Gönderilme Tarihi
22 Mart 2023
Kabul Tarihi
10 Ekim 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 21 Sayı: 2