High entropy alloys (HEAs) has attracted much attention owning to its excellent mechanical properties. However, the application of these HEAs is limited by the uncertain element ratio, high cost and low efficiency preparation methods. In this work, we optimize the composition of AlFeCuSiMg HEAs based on elastic modulus as a prediction index through machine learning (ML) and molecular dynamics (MDs) simulation. The training sets and test sets are prepared by MDs. By comparing the average R2 and RMSE values of different ML models, we selected support vector regression (SVR) model and random forest (RF) regression model to predict the elastic modulus of AlFeCuSiMg HEAs. The prediction results are consistent with MDs and confirm the effectiveness of this method for component design, which provided a guidance for the design of HEAs and accelerate the development of new alloy materials. 

Composition Optimization of AlFeCuSiMg Alloys Based on Elastic Modulus: A Combination Method of Machine Learning and Molecular Dynamics Simulation

Equal-channel angular pressing (ECAP) is an effective fabrication process to modify ultrafine grain size. It is believed that the smaller grain size could improve the mechanical properties. In the present work, the solution treatment applied to Al-Si-Cu-Mg-Mn alloy. Furthermore, two models of ECAP have been done through one-to-three pass at room temperature. The microstructures were observed by optical microscope (OM) and scanning electron microscope (SEM). The micro-hardness of longitudinal plane was analyzed by vickers hardness test. The strength of ECAP materials at room temperature was obtained by using tensile test. The results show that the ECAP process has improved mechanical properties of alloys, which were the hardness and ultimate tensile strength tend to increase since single pass stage.

The Effect of Process Route on the Mechanical Properties and Microstructure Aluminum Al-Si-Cu-Mg-Mn Alloys

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The Effect of Process Route on the Mechanical Properties and Microstructure Aluminum Al-Si-Cu-Mg-Mn Alloys