Farklı baskı sıcaklıklarında üretilen PLA'nın delinmesinde çapak oluşumunun incelenmesi ve tahminli makine öğrenimi

Abstract

Bu çalışmada, eklemeli imalat (EK) yöntemlerinden biri olan eritilmiş biriktirme modelleme (FDM) tekniği ile polilaktik asit (PLA) malzeme kullanılarak üretilen numunelerin delinmesinde, besleme ve baskı sıcaklığının çapak oluşumuna etkisinin incelenmesi amaçlanmıştır. Bu kapsamda üç farklı baskı sıcaklığında (190-210-230 °C) delme işlemine tabi tutulacak numuneler üretilmiştir. Delme işlemi 1500 dev/dak. mil ve üç farklı besleme (0,1-0,15-0,2 mm/devir) ayarında gerçekleştirilmiştir. Elde edilen sonuçlarda, numunelerin delinmesinde beslemenin artmasıyla çapak yüksekliğinin arttığı, baskı sıcaklığının artmasıyla çapak yüksekliğinin azaldığı görülmüştür. Ayrıca, çapak yüksekliği ve dairesellikten sapma için makine öğrenmesi yöntemi ile tahmin modellemesi yapılmıştır. Ortalama %94'lük bir başarı oranı ile baskı sıcaklığının ve beslemenin delik delme işleminde çapak yüksekliği ve dairesellikten sapmaya etkisi tahmin edilmiştir.

Keywords

• Eklemeli imalat
• PLA
• Baskı sıcaklığı
• Çapak oluşumu
• Makina öğrenmesi

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

Abstract

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%.

Keywords

• Additive manufacturing
• PLA
• Print temperature
• Burr formation
• Machine learning

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