Araştırma Makalesi

Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction

Cilt: 16 Sayı: 2 30 Haziran 2025
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Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction

Öz

In this study, it was aimed to investigate the effect of feed (0.1-0.15-0.2 mm/rev) and printing temperature (190-210-230°C) on the formation of burrs and circularity in the drilling of samples produced using polylactic acid (PLA) material with the fused deposition modelling (FDM) technique, which is an additive manufacturing (AM) method. In the results obtained, it was observed that the burr height increased with the increase of the feed in the drilling of the samples, and the burr height decreased with the increase of the printing temperature. The maximum burr height at the hole entrance was 0.32 mm (0.2 mm/rev, 190°C), while the maximum burr height at the hole exit was 0.37 mm (0.2 mm/rev, 190°C). The maximum circularity deviation at the hole entrance was 0.15 mm (0.2 mm/rev, 230°C) and the maximum circularity deviation at the hole exit was 0.1 mm (0.2 mm/rev, 190°C). In addition, prediction modelling for burr height and deviation from circularity was performed with an average success rate of R2 94%.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Malzeme Tasarım ve Davranışları

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

30 Haziran 2025

Yayımlanma Tarihi

30 Haziran 2025

Gönderilme Tarihi

13 Mart 2025

Kabul Tarihi

7 Mayıs 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 16 Sayı: 2

Kaynak Göster

APA
Emir, E. (2025). Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 16(2), 421-429. https://doi.org/10.24012/dumf.1656898
AMA
1.Emir E. Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction. DÜMF MD. 2025;16(2):421-429. doi:10.24012/dumf.1656898
Chicago
Emir, Ender. 2025. “Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction”. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 16 (2): 421-29. https://doi.org/10.24012/dumf.1656898.
EndNote
Emir E (01 Haziran 2025) Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 16 2 421–429.
IEEE
[1]E. Emir, “Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction”, DÜMF MD, c. 16, sy 2, ss. 421–429, Haz. 2025, doi: 10.24012/dumf.1656898.
ISNAD
Emir, Ender. “Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction”. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 16/2 (01 Haziran 2025): 421-429. https://doi.org/10.24012/dumf.1656898.
JAMA
1.Emir E. Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction. DÜMF MD. 2025;16:421–429.
MLA
Emir, Ender. “Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction”. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, c. 16, sy 2, Haziran 2025, ss. 421-9, doi:10.24012/dumf.1656898.
Vancouver
1.Ender Emir. Investigation of Burr Formation and Circularity Error in Drilling of PLA Produced at Different Printing Temperatures with Machine Learning-Based Prediction. DÜMF MD. 01 Haziran 2025;16(2):421-9. doi:10.24012/dumf.1656898
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