Parametric optimization for machinability parameters of S960QL structural steel during milling by finite elements
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
S960QL structural steel material is one of the materials used in armor and structural steel applications with its unique properties. However, the machinability of S960QL is difficult due to its high strength properties. Therefore, it is critical to determine the optimum machining parameters in milling to minimize the most influential machinability characteristics on cutting force, moment and temperature. In this study, three different feed rates (0.08-0.12-0.16 mm/tooth), three different radial depths (0.8-1.2-1.6 mm) and three different axial depths (4-6-8 mm) were applied and the finite element method was used milling experiments were carried out. ANOVA and statistical analyzes based on the “lowest and best” objective function were performed with the Minitab 18 program. It was determined that the optimum cutting parameters obtained as a result of the study were 0.8 mm radial depth, 4 mm axial depth and 0.08 mm/tooth feed rate. In addition, the lowest feed force value was obtained at A1B1D2 and the highest feed force value was obtained at A3B3D1 levels. In terms of moment and temperature values, the lowest value was determined at A1B1D1 and the highest value at A3B3D3 levels. Finally, according to the results of ANOVA analysis, the axial depth parameter was effective on the process feed force, and the axial depth parameter was effective on the moment and temperature.
Açıklama
Anahtar Kelimeler
Feed Force, Milling, S960QL, Taguchi Method, Temperature, Torque
Kaynak
Selcuk University Journal of Engineering Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
21
Sayı
01
Künye
Binali, R., Yaldız, S., Neşeli, S., (2022). Parametric optimization for machinability parameters of S960QL structural steel during milling by finite elements. Selcuk University Journal of Engineering Sciences, 21, (01), 26-31.
