A forming load analysis for extrusion process of AZ31 magnesium

Küçük Resim Yok

Tarih

2019

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

Künye