Predictive model of superplastic properties of aluminum bronze and of the superplastic extrusion test |
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| Authors: | Fuxiao Chen Hejun Li Junqing Guo Yongshun Yang |
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| Affiliation: | 1. School of Materials Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, PR China;2. School of Materials Science and Engineering, Henan University of Science & Technology, Luoyang 471003, PR China;1. National Key Laboratory for Precision Hot Processing of Metals, Harbin Institute of Technology, Harbin 150001, China;2. School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;3. Department of Mechanical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada;4. FAW Car Co., Ltd., Changchun 130011, China;1. Universiti Malaysia Perlis, School of Materials Engineering, Taman Muhibah-Jejawi, Arau 02600, Perlis, Malaysia;2. Universiti Sains Malaysia, School of Materials and Mineral Resource Engineering, Engineering Campus, 14300 Nibong Tebal, Pinang, Malaysia;1. Laboratory of Bulk Nanostructured Materials, Belgorod State University, 85 Pobeda Str., Belgorod, 308015, Russia;2. Institute of Solid State Physics, Russian Academy of Sciences, Ac. Ossipyan Str. 2, 142432, Chernogolovka, Russia;3. National University of Science and Technology «MISIS», Leninskii Prosp. 4, 119049, Moscow, Russia;4. Air Force Research Laboratory, Materials and Manufacturing Directorate, AFRL/RXCM, Wright-Patterson AFB, OH, 45433-7817, USA;1. School of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China;2. School of Economics, Henan University of Science and Technology, Luoyang 471023, China;3. Collaborative Innovation Center of Nonferrous Metals of Henan Province, Luoyang 471023, China |
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| Abstract: | The superplastic properties of aluminum bronze were studied by way of artificial neural network. The model was established using Levenberg–Marquardt algorithm. It was improved by studying superplastic tension test data of aluminum bronze such that the superplastic forming parameters were optimized. According to the parameters, the experiment of superplastic extrusion of a solid bearing was performed. It is shown that the model reflected well the relationship between superplastic properties of aluminum bronze and superplastic tension conditions. The relative error between the test values and the predicted values of the network is less than 8.5%, which meets perfectly the demands of superplastic deformation of aluminum bronze. Moreover, the superplastic forming of solid cage of aluminum bronze show that it is feasible to produce solid cage using superplastic extrusion process. This extrusion process has remarkable economic benefits as well. |
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