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您的检索式：作者名="Keyvan Ferasat"
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| 1 | Microstructure of shear-induced thixoformed Al-4.5Cu-1.5Mg alloy via RAP and SSTT processes显示文摘In this research, the effect of the thixoforming temperature on the microstructure and mechanical properties was investigated in the thixoforming of the feedstock produced by the RAP(recrystallization and partial melting) and SSTT(semi-solid thermal transformation) processes for Al-4.5Cu-1.5Mg alloy. In the RAP process, the percentage reduction in area was approximately 35%. Thixoforming was done at 610, 620, and 630 °C. Globular microstructure was observed at all temperatures and conditions. The minimum average globule size was 39 μm, and it was obtained in the thixoforming of the feedstock produced by the RAP process in the section of 4 mm in diameter at 620 ° C after applying shear. Its corresponding compressive strength was-877.44 MPa. The maximum average globule size was 136 μm, and it was obtained in the thixoforming of the feedstock produced by the SSTT process in the section of 10 mm in diameter at 630 °C before applying shear. Its corresponding compressive strength was-769.18 MPa. The finest and most spherical globules, as well as the highest compressive strength were obtained at 620 °C in both RAP and SSTT states. | Siamak Nikzad Hossein Ashuri Mahdi Shafizadeh Keyvan Ferasat | 2017 | China Foundry2017，14，4： | 1 |
| 2 | Tunable chemical complexity to control atomic diffusion in alloys显示文摘In this paper we report a new fundamental understanding of chemically-biased diffusion in Ni–Fe random alloys that is tuned/controlled by the intrinsic quantifiable chemical complexity.Development of radiation-tolerant alloys has been a long-standing challenge.Here we show how intrinsic chemical complexity can be utilized to guide the atomic diffusion and suppress radiation damage.The influence of chemical complexity is shown by the example of interstitial atom(IA)diffusion that is the most important defect in radiation effects.We useμs-scale molecular dynamics to reveal sluggish diffusion and percolation of IAs in concentrated Ni–Fe alloys.We develop a mean field diffusion model to take into account the effect of migrating defect energy properties on diffusion percolation,which is verified by a new kinetic Monte Carlo approach addressing detailed processes.We demonstrate that the local variations in the ground state energy of IA configurations in alloys,reflecting the chemical difference between alloying components,drives the percolation effects for atomic diffusion.Percolation,chemically-biased and sluggish diffusion are phenomena that are directly related to the chemical complexity intrinsically to multicomponent alloys. | Yuri Osetsky Alexander V.Barashev Laurent K.Béland Zhongwen Yao Keyvan Ferasat Yanwen Zhang | 2020 | npj Computational Materials2020，，1： | 0 |
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