Tian Xuelei Shen Jun Sun Jianfei Gao Yulai Wang Gang Li Qingchun. The Thermo-physical Properties for the Bulk Amorphous Alloy and the Numerical Simulation during Its Cooling Process[J]. Special Casting & Nonferrous Alloys, 2003,(1):29-31.
Tian Xuelei Shen Jun Sun Jianfei Gao Yulai Wang Gang Li Qingchun. The Thermo-physical Properties for the Bulk Amorphous Alloy and the Numerical Simulation during Its Cooling Process[J]. Special Casting & Nonferrous Alloys, 2003,(1):29-31.DOI:
The specific heat and thermal conductivity coefficient for bulk amorphous Zr41Ti]4Ni10Cu12.5Be22.5 alloy have been measured. With increasing temperature from 15 CCC to 350℃
the specific heat and thermal conductivity change from 0. 386 to 0.485 kJ/kg℃ and from 4.8 to 7.74 W/m℃ respectively. In supercooled liquid region
its specific heat and thermal conductivity are 0.59 kJ/kg℃ and 9.55 W/m℃ respectively. The numerical simulation during cooling process was carried out for the bulk amorphous alloy based on the measurement and analysis of the thermo-physical properties obtained. A wedge casting for the bulk amorphous alloy was used to verify the numerical simulation results. Cooling rate obtained for bulk amorphous Zr 41Ti 41Ni 10Cu 12.5 Be 22.5 alloy in water cooled copper mold can be predicted by using numerical simulation and correlated with the amorphous characteristics. 4Ni10Cu12.5Be22.5 alloy have been measured. With increasing temperature from 15 CCC to 350℃
the specific heat and thermal conductivity change from 0. 386 to 0.485 kJ/kg℃ and from 4.8 to 7.74 W/m℃ respectively. In supercooled liquid region
its specific heat and thermal conductivity are 0.59 kJ/kg℃ and 9.55 W/m℃ respectively. The numerical simulation during cooling process was carried out for the bulk amorphous alloy based on the measurement and analysis of the thermo-physical properties obtained. A wedge casting for the bulk amorphous alloy was used to verify the numerical simulation results. Cooling rate obtained for bulk amorphous Zr 41Ti 41Ni 10Cu 12.5 Be 22.5 alloy in water cooled copper mold can be predicted by using numerical simulation and correlated with the amorphous characteristics.