大块非晶合金的热物性及冷却过程的数值模拟

The Thermo-physical Properties for the Bulk Amorphous Alloy and the Numerical Simulation during Its Cooling Process

对大块非晶合金Zr4 1Ti14 Ni10 Cu12 .5Be2 2 .5(摩尔分数 )的比热容和导热系数进行了测量 ,发现在 15～ 35 0℃范围内 ,其比热容和导热系数随温度的增高而增大 ,二者的变化范围分别为 0 .386～ 0 .485kJ/ (kg·℃ )和 4.80～ 7.74W/ (m·℃ )。在深过冷区域的比热容和导热系数分别是 0 .5 9kJ/ (kg·℃ )和 9.5 5W / (m·℃ )。在对此合金的比热容和导热的系数测量和分析的基础上 ,利用这些参数对其冷却过程进行了数值模拟 ,并用楔形试样进行了验证。利用数值模拟可以预测Zr4 1Ti14 Ni10 Cu12 .5Be2 2 .5合金在水冷铜模铸造过程中的冷却速度 ,并依此判定是否能够获得非晶态铸件。

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.