A forming load analysis for extrusion process of AZ31 magnesium
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The effect of extrusion parameters on the extrusion load for AZ31 magnesium alloy was investigated with the support of numerical methods. With this regard, the process temperature, extrusion ratio, friction factor and punch velocity were selected as main parameters for the experiments. Besides, the experimental results were analyzed by using the finite element method (FEM) and artificial neural network (ANN) method to build a numerical model for predicting the forming load. All the experimental and numerical results were compared to each other and it was concluded from the results that the effect of friction factor on the extrusion load is more dominant at lower extrusion temperature for all given extrusion ratios and punch velocities. Besides this, higher extrusion ratios require higher process temperatures to obtain the lower extrusion load. Also, it was observed that the increase in the extrusion speed causes a significant increase in the forming load for all extrusion ratios and extrusion temperatures.
Açıklama
Anahtar Kelimeler
Extrusion, Magnesium, AZ31, Finite Element Method, Artificial Neural Network, Hot Deformation-Behavior, Fem Simulation, Mechanical-Properties, Grain-Refinement, Microstructure, Optimization, Temperature, Prediction, Die
Kaynak
Transactions Of Nonferrous Metals Society Of China
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
29
Sayı
4