Haddeleme İşleminin Yüzey Yanıt Yöntemi İle Analizi

Çeşitli imalat işlemleri uygulanan makine parçaları kullanılmadan önce sonlandırma operasyonlarına tabii tutulurlar. Talaş kaldırmaksızın yapılan ve bir sonlandırma operasyonu olarak öne çıkan haddeleme işlemi parçaların yüzey pürüzlülüğünü azaltmak için kullanılan bir sonlandırma operasyonudur. Bu çalışmada Al-6061 malzemesinden elde edilmiş olan dönel parçaların haddelenmesi sonucunda ortaya çıkan yüzey pürüzlülüğü değerleri incelenmiştir. Alüminyum malzemeler haddeleme kuvveti, ilerleme hızı ve paso sayısı parametrelerine bağlı olarak haddelenmiş ve elde edilen sonuçlar yüzey yanıt yöntemi (YYY) ile değerlendirilmiştir. YYY ile haddeleme parametrelerinin etkinlikleri araştırılmış ve lineer ve ikinci dereceden matematiksel modeller ile sonuçlar ortaya konmuştur. Oluşturulan model ile yapılan tahminlerin deney sonuçları ile tutarlılığı ve optimum deney parametreleri incelenmiştir. Deney sonuçları kullanılarak oluşturulan ikinci derecedeki modelin tahmin ettiği değerler incelenmiştir. Oluşturulan modelin tahmin ettiği değerler ile gerçek deney değerleri karşılaştırıldığında R2 değeri 0,891 olarak hesaplanmıştır. Sonuç olarak YYY ile oluşturulan model ile gerçek değerlere yakın tahminlerin elde edilebileceği ortaya konmuştur

Analysis Of Burnishing Process With Response Surface Method

Machine parts applied to various manufacturing processes are subjected to finishing operations before they are used. Burnishing stands out as a finishing operation performed without removing the chip and it is used to reduce surface roughness on parts. In this study, the results of surface roughness values after burnishing of Al-6061 rotary pieces were examined. Aluminum materials burnished with depending on parameters of burnishing force, feed rate and number of passes and the results obtained response surface method (RSM) are evaluated. The effectiveness of burnishing parameters were investigated with RSM and revealed the results with linear and quadratic mathematical models. The consistency of test results predictions with generated by the model and optimal experimental parameters were investigated. The values predicted by the model of the quadratic generated using experimental results were analyzed. On comparing the actual experimental values with the values predicted by the created model, R2 value is calculated as 0.891. As a result, have been revealed that the estimates close to the actual values can be achieved with the created model with RSM

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