Tao Sun
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Tao Sun has a total of 21 co-authors. Here are the top co-authors by number of shared publications:
- Dong Xu
College of Civil Engineering, Tongji University, Shanghai 200092, China
1 shared publication - Gaoshang Ouyang
School of Materials Science and Engineering, Wuhan University of Technology, Wuhan, 430070, Hubei Province, China
1 shared publication Haihao Teng
College of Materials Science and Engineering, Chongqing University, Chongqing, China
1 shared publication- Haihao Teng
College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
1 shared publication - Jiang Xiaojuan
Key Laboratory of Material Processing and Mold Technology, School of Mechanical Engineering and Automation, Chongqing Industry Polytechnic College, Chongqing 401120, China
1 shared publication - Jie Zhou
Sichuan Provincial Engineering Research Center of Aeronautical Material Testing and Die Forging Technology, College of Materials Engineering, Sichuan Polytechnic University, Deyang 618000, China
1 shared publication
Latest Publications
- Open Access
- 29 May 2024
- Published by Elsevier in Developments in the Built Environment
- Vol. 18, 100464
Valorization of alkali-activated fly ash-slag claddings to enhance the mechanical and leaching properties of phosphogypsum-based cold-bonded aggregates
- 29 May 2024
- Published by Elsevier in Developments in the Built Environment
- Vol. 18, 100464
Open AccessValorization of alkali-activated fly ash-slag claddings to enhance the mechanical and leaching properties of phosphogypsum-based cold-bonded aggregates
- Open Access
Constitutive Model and Microstructure Evolution of Ti65 Titanium Alloy
The hot deformation behavior and mechanism of Ti65 alloy with a bimodal microstructure were investigated by isothermal compression experiments conducted on the Thermecmastor-Z simulator equipment at temperatures ranging from 950 to 1110 °C and strain rates ranging from 0.01 to 10.0 s−1. The Arrhenius constitutive model, based on strain compensation, and Grey Wolf optimization-neural network with back propagation model (GWO–BP), were both established. The differences between the experimental and predicted value of flow stress were compared and analyzed using the two models. The results show that the prediction accuracy of GWO–BP in the two-phase region is higher than that of Arrhenius model. In the single-phase region, both methods demonstrated high prediction accuracy. Compared to the single-phase region, the flow stress of Ti65 alloy shows a higher degree of softening in the two-phase region. During deformation in the two-phase region, the initial lamellar α phase transformed from a kinked and elongated morphology to a globularized topography as the strain rate decreased. Boundary-splitting was the primary mechanism leading to the spheroidization process. The degree of recrystallization increased with the increase in strain rate during the deformation in the single-phase region, while dynamic recovery and strain-induced grain boundary migration were the main deformation mechanisms at a lower strain rate. Discontinuous dynamic recrystallization may be the dominant recrystallization mechanism under a high strain rate of 10 s−1.
Open AccessConstitutive Model and Microstructure Evolution of Ti65 Titanium Alloy
The hot deformation behavior and mechanism of Ti65 alloy with a bimodal microstructure were investigated by isothermal compression experiments conducted on the Thermecmastor-Z simulator equipment at temperatures ranging from 950 to 1110 °C and strain rates ranging from 0.01 to 10.0 s−1. The Arrhenius constitutive model, based on strain compensation, and Grey Wolf optimization-neural network with back propagation model (GWO–BP), were both established. The differences between the experimental and predicted value of flow stress were compared and analyzed using the two models. The results show that the prediction accuracy of GWO–BP in the two-phase region is higher than that of Arrhenius model. In the single-phase region, both methods demonstrated high prediction accuracy. Compared to the single-phase region, the flow stress of Ti65 alloy shows a higher degree of softening in the two-phase region. During deformation in the two-phase region, the initial lamellar α phase transformed from a kinked and elongated morphology to a globularized topography as the strain rate decreased. Boundary-splitting was the primary mechanism leading to the spheroidization process. The degree of recrystallization increased with the increase in strain rate during the deformation in the single-phase region, while dynamic recovery and strain-induced grain boundary migration were the main deformation mechanisms at a lower strain rate. Discontinuous dynamic recrystallization may be the dominant recrystallization mechanism under a high strain rate of 10 s−1.
- 20 November 2023
- Published by Springer Nature in Journal of Wuhan University of Technology-Mater. Sci. Ed.
- Vol. 38 (6) , 1418-1425
Flow Characteristics Analysis of TC18 Titanium Alloy during Hot Deformation Based on Phase Transformation
- 20 November 2023
- Published by Springer Nature in Journal of Wuhan University of Technology-Mater. Sci. Ed.
- Vol. 38 (6) , 1418-1425
Flow Characteristics Analysis of TC18 Titanium Alloy during Hot Deformation Based on Phase Transformation
- Open Access
Effect of Annealing on Microstructure and Corrosion Behavior of Interstitial Free Steel
Interstitial free steels with various grain sizes and textures were prepared by cold-rolling followed by an annealing process. The effect of grain size, crystallographic orientations and stored energy on corrosion behavior of interstitial free steel was investigated. It was found that the deformed microstructure and dislocation boundaries were consumed by recrystallizing grains during annealing. The average grain size increase ranging from 0.61 μm to 11 μm and the volume fraction of recrystallized grains was about 96% after annealing for 64 h; meanwhile, the γ fiber was the dominated recrystallized texture component. The stored energy gradually decreased due to the reduction in dislocation density by annealing. The potentiodynamic polarization and Nyquist plots show that the corrosion potential exhibits a more positive shift and depressed capacitive semicircle radius increase with rising annealing time. The 64 h annealed specimens had the biggest depressed semicircle in the Nyquist plots and the highest positive corrosion potential, which indicates the enhancement of corrosion resistance. Such an improvement of corrosion resistance is attributed to the increase in the volume fraction of the γ fiber and decrease in the stored energy.
Open AccessEffect of Annealing on Microstructure and Corrosion Behavior of Interstitial Free Steel
Interstitial free steels with various grain sizes and textures were prepared by cold-rolling followed by an annealing process. The effect of grain size, crystallographic orientations and stored energy on corrosion behavior of interstitial free steel was investigated. It was found that the deformed microstructure and dislocation boundaries were consumed by recrystallizing grains during annealing. The average grain size increase ranging from 0.61 μm to 11 μm and the volume fraction of recrystallized grains was about 96% after annealing for 64 h; meanwhile, the γ fiber was the dominated recrystallized texture component. The stored energy gradually decreased due to the reduction in dislocation density by annealing. The potentiodynamic polarization and Nyquist plots show that the corrosion potential exhibits a more positive shift and depressed capacitive semicircle radius increase with rising annealing time. The 64 h annealed specimens had the biggest depressed semicircle in the Nyquist plots and the highest positive corrosion potential, which indicates the enhancement of corrosion resistance. Such an improvement of corrosion resistance is attributed to the increase in the volume fraction of the γ fiber and decrease in the stored energy.