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摘要：
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为提高锻件质量和成品率,有必要建立一种适合于实时控制的锻件成形过程模型。利用有限元模拟技术对涡轮盘的等温成形过程进行了虚拟正交试验,通过对成形过程的载荷——行程曲线的分析,建立了粉末高温合金涡轮盘件等温成形过程的人工神经网络(ANN)模型,并将其映射成模拟电路模型。以此模拟电路模型为参考模型,应用于模型参考自适应控制(MRAC)系统,对涡轮盘件等温成形过程进行控制。结果表明,所建立的ANN模型及其模拟电路模型对粉末高温合金涡轮盘件等温成形过程的拟合精度很高,且控制参数始终与模型输出相吻合,为实现盘件成形过程的实时控制奠定了基础。
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In order to increase forging qualities and yield of powder metallurgical(P/M) turbine disc,it is necessary to establish a dynamic model fitting for real-time control of P/M turbine disc isothermal forging process.In the present work,the virtual orthogonal experimental(VOE) of P/M turbine disc isothermal forging was accomplished using finite element simulation.The deformation law of the material was analyzed.The artificial neural network model of P/M turbine disc isothermal forging process was obtained by using the data of VOE to train the BP(Back Propagation) network.Then the analog-circuit model of P/M turbine disc isothermal forging process was established by using the learning results of ANN.The analog-circuit model was applied to the reference model of model reference adaptive control system to realize real-time control.The results show that the ANN model and the analog-circuit model have high fit precision for P/M turbine disc isothermal forging process.The controlling parameters are always coincidence with the output of models.
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基金项目：
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天津大学青年教师基金资助项目(5110105);;
航空基础科学基金资助项目(03H53048)
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作者简介：
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参考文献：
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