Development of an Artificial Neural Network Constitutive Model for Aluminum 7075 Alloy
نویسندگان
چکیده
Development of an accurate neuronal material model for aluminum alloys would facilitate better process control and parameter optimization in the aircraft industry. This research primarily attempts to design a connectionist constitutive model for aluminum 7075 alloy using multi-layer perceptrons. The backpropagation algorithm is used to train the designed network whose performance is then validated using experimental data from a test set.
منابع مشابه
Prediction of forging force and barreling behavior in isothermal hot forging of AlCuMgPb aluminum alloy using artificial neural network
In the present investigation, an artificial neural network (ANN) model is developed to predict the isothermal hot forging behavior of AlCuMgPb aluminum alloy. The inputs of the ANN are deformation temperature, frictional factor, ram velocity and displacement whereas the forging force, barreling parameter and final shape are considered as the output variable. The developed feed-forward back-prop...
متن کاملModeling the Constitutive Relationship of Al–0.62Mg–0.73Si Alloy Based on Artificial Neural Network
In the present work, the isothermal compression tests of Al–0.62Mg–0.73Si aluminum alloy were carried out by using the Gleeble-1500D thermo-simulation machine. The samples were tested in the temperature range of 410–510°C and strain rate range of 0.001–1 s−1. Based on the obtained stress–strain curves, the hot deformation behavior was presented. The constitutive relationship of Al–0.62Mg–0.73Si...
متن کاملSimulation and modeling of friction welding of stainless steel to aluminum alloy using finite element method and artificial neural network
Aluminum to stainless steel joints are broadly used in industries in order to reduce fuel consumption. While fusion welding is not a suitable method to join these metals. solid state welding, like friction welding (FW), is an effective way to this process. However, risk of intermetallic compounds (IMCs) formation is probable in these welds. In previews investigations formation of FeAl3, Fe2Al5 ...
متن کاملSimulation and modeling of friction welding of stainless steel to aluminum alloy using finite element method and artificial neural network
Aluminum to stainless steel joints are broadly used in industries in order to reduce fuel consumption. While fusion welding is not a suitable method to join these metals. solid state welding, like friction welding (FW), is an effective way to this process. However, risk of intermetallic compounds (IMCs) formation is probable in these welds. In previews investigations formation of FeAl3, Fe2Al5 ...
متن کاملApplication of the GTN Model in Ductile Fracture Prediction of 7075-T651 Aluminum Alloy
In this paper the capability of Gurson-Tvergaard-Needleman (GTN) model in the prediction of ductile damage in 7075-T651 aluminum alloy is investigated. For this purpose, three types of specimens were tested: Standard tensile bars, Round notched bar (RNB) specimens and compact tension (C(T)) specimens. Standard tensile bar tests were used to obtain the mechanical properties of the material and t...
متن کامل