Response Surface (RSM) Based Fuzzy Logic Model for the Comparison and Prediction of Surface Roughness in CNC Milling of AISI 1050 Steel Plate
Bu çalışmada AISI1050 çeliğinin CNC freze ile cep işlemesinde yüzey pürüzlülüğüne etki eden kesme hızı, ilerleme miktarı ve talaş derinliği gibi parametrelerin karar yüzey tabanlı bulanık mantık modellemesi amaçlanmıştır. İlk olarak karar yüzey tabanlı dönebilen merkezi kompozit tasarımda deney parametre seviyeleri seçilmiş deney planı oluşturulmuştur. Deney planına göre deneyler yapılmış ve bu plana bağlı olarak bulanık mantık kuralları ve her bir parametre için üyelik fonksiyonları oluşturularak modellemesi yapılmıştır. Karar yüzey tabanlı modellemede modelin ikinci derece matematik formülü çıkarılmış olup burada yapılan yüzey pürüzlülüğü tahminleri bulanık mantık tarafından yapılan tahminler ile karşılaştırılmıştır. En yüksek korelasyon katsayısı R2= 0.999 ile bulanık mantık tarafından bulunmuştur. Bu da bulanık mantığın tahmin etme gibi modellemelerde çok etkili bir yöntem olduğunu ve daha birçok prosese uygulanabileceğini göstermektedir
AISI1050 Çeliğinin CNC Freze ile İşlenmesinde Yüzey Pürüzlülüğünün Karar Yüzey Tabanlı Bulanık Mantık ile Tahmin Edilmesi
The present study is aimed for comparison and prediction of surface roughness in CNC pocket milling process of AISI1050 steel plate based on the response surface methodology (RSM) and fuzzy logic model. Firstly, the milling parameters such as cutting speed, feed rate and depth of cut are designed using the rotatable central composite design (CCD). Secondly, the quadratic mathematical model for the surface roughness, as a function of milling parameters, is obtained using the RSM. And, fuzzy rules and membership functions were constructed according to the RSM experimental design. Finally, the power and adequacy of the RSM and fuzzy logic predicted surface roughness was compared. A high correlation coefficient of R2 = 0.999 has been obtained for the fuzzy predicted results. This reveals that the fuzzy prediction is the more effective method for CNC machining process. And it can successfully be used for other machining processes
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- ISSN: 1304-4141
- Yayın Aralığı: Yılda 5 Sayı
- Başlangıç: 2004
- Yayıncı: -