Constitutive model of Mo-Nb alloy based on random forest and support vector machine
The flow stress behavior of Mo-Nb alloy was studied by isothermal constant strain rate compression experiments on Gleeble-3800 thermal simulation tester at the deformation temperature of 900-1200℃and strain rate of 0.01-10 s-1.The constitutive model of the alloy was established by random forest and support vector machine.The results show that Mo-Nb alloy is a negative temperature and positive strain rate sensitive material,and its flow stress decreases with increasing deformation temperature and decreasing strain rate.The correlation coefficients and average relative errors for the training samples of random forest and support vector machine constitutive models are 0.989,0.998 and 2.41%,0.94%,respectively,and the correlation coefficients and average relative errors for the test samples are 0.991,0.996 and 2.47%,1.4%,respectively,both of which have good prediction ability.The accuracy of the support vector machine constitutive model is higher than that of the random forest,so the support vector machine constitutive model is more suitable for predicting the flow stress of Mo-Nb alloy.
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