Oxley modelleme yaklaşımının tahmin doğruluğu ve verimliliğinin arttırılması

Bu çalışmada, kesme kuvvetlerini ve talaş kalınlıklarını daha yüksek doğruluk ve verimlilikle tahmin etmek için genişletilmiş Oxley modelleme yaklaşımının iyileştirilmesi ele alınmıştır. İş parçası malzemesi özellikleri JohnsonCook akış gerilmesi denklemi kullanılarak modellenmiştir. Oxley modelleme yaklaşımının hesaplama verimliliğini artırmak için model parametrelerinin (, C0, ) başlangıç değerlerinin eniyilemesi yapılmıştır. Tahmin doğruluğunu yükseltmek için Oxley modelleme yaklaşımına bir sıcaklık hesaplama yöntemi dahil edilmiştir. Tahmin edilen sonuçlar AISI 1045 çeliği iş parçası üzerinde karbür kesici takımlarla gerçekleştirilen dik kesme testlerinden elde edilen deneysel verilerle karşılaştırılmıştır. Sonuç olarak, genişletilmiş Oxley modelleme yaklaşımının geliştirilen versiyonunun tahminlerinin genişletilmiş orijinal versiyonun sonuçlarına göre deneysel verilerle daha iyi bir uyum içinde olduğu belirlenmiştir.

Increasing prediction accuracy and efficiency of Oxley modeling approach

In this paper, the improvement of the extended Oxley modeling approach is considered to predict the cutting forces and chip thicknesses with higher accuracy and efficiency. The workpiece material properties are modeled using the JohnsonCook flow stress equation. The initial values of the model parameters (, C0, ) are optimized to increase the computation efficiency of the Oxley modeling approach. A temperature calculation method is included into the Oxley modeling approach to enhance the prediction accuracy. The predicted results are compared with experimental data obtained from the orthogonal cutting tests performed with carbide cutting tools on AISI 1045 steel workpiece. Finally, it is determined that the predictions of the improved version of the extended Oxley modeling approach are in a better agreement with the experimental data than the results of the extended original version.

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