Deneysel Olarak Üretilen Porselen Seramiklerin Aşınma Özelliklerini İncelemek için Regresyon Modellemesi

Öz

Bu çalışmada toz metalurjisi yöntemi ile üretilen porselen seramiklerin üretim ve aşınma özellikleri incelenmiş ve elde edilen deneysel veriler kullanılarak regresyon ile modelleme çalışması yapılmıştır. Porselen seramikler toz metalurjisi yöntemi ile hazırlanmıştır. Alümina bilyalı değirmenlerde mekanik alaşımlama yöntemi ile hazırlanan karışımlar kuru preste şekillendirildikten sonra normal atmosferik koşullarda sinterlenerek üretilmiştir. Kurutulduktan sonra tozlar 200 MPa'da tek eksenli presleme ile sıkıştırılmıştır. Yeşil kompaktlar 1100-1200 oC'de 1-5 saat süreyle havada sinterlenmiştir. Ardından sinterlenen numunelerin karakterizasyon çalışmaları gerçekleştirilmiş ve elde edilen aşınma deneysel sonuçları regresyon ile modellemeye uygun verilere dönüştürülmüştür. Çalışmanın devamında regresyon kullanılarak deneysel aşınma sonuçları analiz edilmiş ve modellenmiştir. Regresyon girdi değişkenleri olarak aşınma yükü, aşınma süresi, sinterleme sıcaklığı ve sinterleme süresi kullanılmıştır. Aşınma değerleri regresyonun çıktı değişkenleri olarak alınmıştır. Porselen seramik kompozitlerin aşınma özelliklerinin tahmini için bir regresyon oluşturulmuştur. Sonuç olarak, ağ performansını kontrol etmek için eğitim sonuçları ve test sonuçları gerçek değerlerle karşılaştırılmıştır. Deneysel ve regresyon modeli sonuçları arasında iyi bir uyum gözlenmiştir. Regresyon tahmininden sonra, deneysel sonuçları doğrulamak için doğrulama testleri yapılmıştır.

Anahtar Kelimeler

• Seramik
• Porselen
• Aşınma
• Regresyon

Regression Modelling to Study Wear Properties of Experimental Produced Porcelain Ceramics

Öz

In this study, the production and wear properties of porcelain ceramics produced by powder metallurgy method were examined and modelling with regression were studied using the experimental data obtained. Porcelain ceramics were prepared by the powder metallurgy route. Mixtures prepared by mechanical alloying method in alumina ball mills were produced by sintering under normal atmospheric conditions after being shaped in a dry press. After drying, the powders were compressed by uniaxial pressing at 200 MPa. The green compacts were sintered at 1100-1200 oC for 1-5 h in air. Then, characterization studies of the sintered samples were carried out and the wear experimental results obtained were converted into data suitable for modelling with regression. In the continuation of the study, experimental wear results using regression was analysed and modelled. Wear load, wear time, sintering temperature and sintering time were used as regression input variables. Wear values were taken as output variables of regression. An regression was established for the prediction of wear properties of porcelain ceramic composites. As a result, the training results and test results were compared with the actual values to control the network performance. A good agreement was observed between the experimental and regression model results. After the regression estimation, confirmation tests were performed to confirm the experimental results.

Anahtar Kelimeler

• Ceramic
• Porcelain
• Wear
• Regression.

Kaynakça

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