摘要
采用人工神经网络建立铸造锌铝合金ZA2 7力学性能与铸造工艺参数关系模型 ,分析各参数对合金性能的影响规律 ,为高性能合金的制备提供有益的参考数据。结果表明 :比压为 67MPa、铸型温度 180℃、浇注温度 5 80℃、保压时间 3 0s ,ZA2 7合金具有较好的综合力学性能。
The modeling has been established by artificial neural network to built the relationship between the mechanical properties and technology parameter of ZA27 alloy. The regular rule of parameter on alloy properties is analyzed. It is good for making high property alloy. The result shows that the pressure is 67 MPa, casting mold temperature is 180 ℃, pouring temperature is 580 ℃, pressure-keeping time is 30 s. After using the technology mentioned above, the better comprehensive mechanical properties can be achieved.
出处
《铸造技术》
CAS
北大核心
2003年第3期204-205,共2页
Foundry Technology
关键词
神经网络
锌铝合金
铸造
Neural network
Al-Zn alloy
Casting
