Analysis Of Forming Ability And Tensile And Compression Mechanical Behavior Of Amorphous Alloys

The development of science and technology is always based on the development of equipment technology and material research,amorphous alloys have been widely used in research after the excellent properties have been discovered,the formation ability and deformation mechanism are still being explored.The complex components and complex preparation conditions of amorphous alloys make it difficult to unify the formation nature of amorphous alloys,many scholars have been trying to explore a feasible standard to evaluate the formation ability of amorphous alloys,but there is no theory can fully explain the mechanism,the potential connections can be resolved only by refining the terms.However,the deformation mechanism of the amorphous alloy affects the application prospect of the amorphous alloy.Since the change of microstructure cannot be observed on a very small time scale,it can only be explained by different theoretical models,but these methods often have some defects.On the one hand,this paper uses machine learning method to explore the correlation between the forming ability of amorphous alloy and the characteristic temperature,and proposes a new criterion k to predict the forming ability of amorphous alloy;On the other hand,molecular dynamics simulation method is used to analyze the compression behavior of new materials and explore the reasons why different conditions affect the deformation.And the main work contents and results are as follows:1)The thermodynamic and kinetic mechanism of the formation of the research history,properties and application prospect of amorphous alloys and the deformation interpretation model are introduced.According to the evaluation method of amorphous alloy invented by predecessors,D_max will be used to characterize the amorphous forming ability,and the characteristic temperature:glass transition temperature(_gT),crystallization initiation temperature(_gT),liquidus temperature(_lT)will be used as the characterization factor to obtain the criterion to predict the amorphous forming ability.2)According to the experimental data has been reported to establish a database and use the characteristic temperature of dimensionless factor to choose the amorphous formation ability the most related factors to form a criterion k by machine learning method,the new criterion can better predict amorphous formation ability,obtained by data fitting method compared with previously reported criterion and can be a good explanation for amorphous alloys thermodynamics dynamics mechanism.3)Due to the lack of research on binary bulk amorphous alloys,the tensile and compression behavior of a new type Cu₆₄Zr₃₆ amorphous alloy was studied in this paper.The molecular dynamics simulation method was used to stretch and compress the model under different conditions.It is found that the cooling rate of preparation,the temperature of compression environment and the strain rate all have an effect on the strength and elasticity of the material by analyze the change of stress and strain and explore its principle.After the yield state,both cooling rate and strain rate have different degrees of influence on the material shaping,especially at the high strain rate,the material will show obvious creep behavior,while temperature has little effect.These phenomena are due to the influence of free volume,which leads to different shear behaviors of different microstructure.