Transactions of Materials and Heat Treatment

Title：Analog-circuit model for isothermal forging process of P/M turbine discs based on artificial neural network

Authors： LIU Yu-hong1 LI Fu-guo2 ZHANG Lian-hong1(1.School of Mechanical Engineering Tianjin University Tianjin 300072 China 2.School of Materials Science and Engineering Northwestern Polytechnical University Xi'an 710072 China)

Unit：

KeyWords： turbine disc artificial neural network analog circuit isothermal forging

ClassificationCode：TG316.8

year,vol(issue):pagenumber：2007,32(3):111-115

Abstract：

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.

Funds：

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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