Static Properties Model of Magnetically Controlled Shape Memory Alloy Based on Neural Networks
Based on the experimental data obtained from static properties test of magnetically controlled shape memory alloy, using the function of approximation of BP neural networks, the forecasting modelling was established. The experimental data and the forecasting data agreed well and the error was only 0.04％, which indicates that the modelling had good accuracy. The neural networks modelling can avoid the problem to calculate the modelling parameters based on the material physical properties and solve the material inherent coupling problem between magnetic field, the force fields and temperature field. It provided a new method to research the properties of magnetically controlled shape memory alloy.
Magnetically Controlled Shape Memory Alloy Static Characteristics BP Neural Network Coupling
Qingxin Zhang Jing Zhang Ming Yang Xiaoyan Qiu
School of AutomationShenyang Institute of Aeronautical EngineeringShenyang 110136, China School of Automation Shenyang Institute of Aeronautical Engineering Shenyang 110136, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3239-3243
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）