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ANFİS Model ile Mg Alaşımlarının Sıkıştırılabilirliğinin Tahminleme Performasının İncelenmesi

Bu çalışmada, farklı Zn (ağırlıkça %5 ve 10 Zn) oranlarına sahip Mg alaşımlarına ait toz karışımları hazırlanmış ve farklı sıkıştırma basınçlarında sıkıştırılarak hesaplanan ham yoğunluklar ile ANFİS model için test ve eğitim verileri elde edilmiştir. Elde edilen test ve eğitim verileri, Matlab programında ANFİS ile eğitilmiş ve sonuçlar incelenmiştir. Yapılan eğitimlerde, ANFİS model de giriş üyelik fonksiyon tipi olarak trimf, üyelik fonksiyonu sayıları olarak ise 2 2, 3 3, 4 4, 5 5 kullanılmış, çıkış üyelik fonksiyonu constant olarak seçilmiştir. MAPE, MSE, RMSE göre seçilen üyelik fonksiyonlarının tahminleme performansları karşılaştırılmıştır. Elde edilene sonuçlar, ANFİS modelinin Mg-Zn toz karışımlarının sıkıştırılabilirliğinde kullanılabilirliğini göstermiştir.

Anahtar Kelimeler:

ANFİS, Toz Metalurjisi, Mg Alaşımı, Sıkıştırılabilirlik

Investigation of Prediction Performance of Compressibility of Mg Alloys with ANFIS Model

In this study, powder mixtures of Mg alloys with different Zn (5% and 10% by weight) ratios are attained, and the test and training data for the ANFIS model with the aid of the raw densities, which is calculated by compressing at different compression pressures, are determined. The test and training data obtained is handled with ANFIS in the Matlab program, and the results are analyzed. In the pieces of training performed, trimf is selected as the input membership function type, 2 2, 3 3, 4 4, 5 5 is selected as the membership function numbers, and the output membership function is selected as constant in the ANFIS model. The estimation performances of the membership functions chosen regarding MAPE, MSE, and RMSE are checked. The results obtained showed the usability of the ANFIS model in the compressibility of Mg-Zn powder mixtures.

Keywords:

ANFIS, Powder Metallurgy, Mg Alloy, Compressibility,

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