Charpy Impact Test in 3D-FDM and Optimization with Artificial Intelligence

Abstract

In the study, the rates of impact energy absorption of ABS fractures produced by the FDM method were examined. Charpy impact test results were determined using layer distribution, printing speed, support angle, build orientation, notch type, and unfill type. Box-behnken experimental design design in the study. Notch impact samples are produced on an ABS 3D printer. Then, charpy impact tests were performed on the impact test device. Data were evaluated using the Minitab 21 program. Later, DL and ELM file models were created based on this development. The best results were obtained as 0.844 kJ/m2 with a layer thickness of 0.09 mm. At 60 mm/s printing speed and 30° support angle, the impact energy absorption is 0.803 kJ/m2. The extinction edge of the highest impact energy is 0.841 kj/m2. The most effective impact absorption was obtained as 0.827 kJ/m2 in the U notch type. In the full infill type, impact energy absorption is obtained as 0.777 kJ/m2. In DL, man is the programming and tanh is the activation function. DL, MSE value was calculated as 0.000923, r2 was calculated as 0.97427. In ELM, the activation function is sigmoidal at the input and linear at the output.

Keywords

• FDM
• Charpy impact test
• Build orientation
• Notch
• Deep learning
• Extreme learning machines

3D-FDM'de Charpy Darbe Testinin Yapay Zeka ile Optimizasyonu

Abstract

Çalışmada FDM yöntemiyle üretilen ABS parçaların darbe enerjisi emilim oranları incelenmiştir. Charpy darbe testi sonuçları, katman dağılımı, yazdırma hızı, destek açısı, yapı yönü, çentik tipi ve dolgu tip kullanılarak belirlendi. Çalışmada Box-behnken deneysel tasarım tasarımı kullanıldı. Çentik darbe numuneleri 3D yazıcıda ABS malzemeden üretildi. Daha sonra darbe test cihazında charpy darbe testleri yapıldı. Veriler Minitab 21 programı kullanılarak değerlendirildi. Daha sonra bu sonuçlara dayanarak DL ve ELM modelleri oluşturuldu. En iyi sonuçlar 0,09 mm katman kalınlığında 0,844 kJ/m2, 60 mm/s baskı hızında ve 30° destek açısında darbe enerjisi emilimi 0,803 kJ/m2 olarak belirlendi. En yüksek darbe enerjisinin edge yönünde 0,841 kj/m2, U çentik tipinde 0,827 kJ/m2, full dolgulu tipinde 0,777 kJ/m2 olarak elde edildi. DL'de adam optimizasyon algoritması, tanh ise aktivasyon fonksiyonudur. DL, MSE değeri 0,000923, r2 ise 0,97427 olarak hesaplandı. ELM'de aktivasyon fonksiyonu girişte sigmoid, çıkışta ise doğrusaldır.

Keywords

• FDM
• charpy darbe testi
• konumlandırma
• çentik tipi
• derin öğrenme
• aşırı öğrenme makineleri

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