Constitutive models and microstructure evolution of Ti-6Al-4V alloy during the hot compressive process
Open Access
- 1 January 2021
- journal article
- research article
- Published by IOP Publishing in Materials Research Express
- Vol. 8 (1), 016534
- https://doi.org/10.1088/2053-1591/abdaf0
Abstract
Using the Gleeble-1500D thermal simulation machine, and taking the flow stress as the objective function, the Ti-6Al-4V titanium alloy was subjected to isothermal compression test under the conditions of deformation temperature of 1023-1323K, strain rate of 0.01-10s-1 and maximum deformation degree of 60% (the true strain is 0.916), and the stress and strain data under different deformation conditions were obtained. Based on the stress and strain data, the Arrhenius model and Back-Propagation Artificial Neural Network (BP-ANN) model were obtained by Origin and MATLAB software. The results show that the BP-ANN model has higher accuracy than Arrhenius model, its correlation coefficient is as high as 0.99959, and the average absolute relative error is only 3.0935%. The Ti-6Al-4V titanium alloy model can make up for the lack of prediction accuracy of the constitutive model, and can predict the flow stress in all deformation ranges. Finally, the influence of different deformation temperature, deformation rate and deformation amount on microstructure is analyzed.Keywords
Funding Information
- National Natural Science Foundation of China (51805024)
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