LU Zhijun, WANG Yajun. ANN model to predict geometry shape of fusion-solidification zone in electron beam welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (5): 29-32.
Citation:
LU Zhijun, WANG Yajun. ANN model to predict geometry shape of fusion-solidification zone in electron beam welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (5): 29-32.
LU Zhijun, WANG Yajun. ANN model to predict geometry shape of fusion-solidification zone in electron beam welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (5): 29-32.
Citation:
LU Zhijun, WANG Yajun. ANN model to predict geometry shape of fusion-solidification zone in electron beam welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (5): 29-32.
National Key Laboratory of High Energy Density Beam Processing Technology, Beijing Aeronautical Manufacturing Technology Research Institute, Beijing 100024, China
2.
National Key Laboratory of High Energy Density Beam Processing Technology, Beijing Aeronautical Manufacturing Technology Research Institute, Beijing 100024, China;School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
The geometry shape of fusion-solidification zone in electron beam welding of TC4 titanium alloy was predicted based on artificial neural network.Based on adaptive network model, network structure, and training algorithm and times, a BP neural network mapping model from focused current, beam current and welding speed to fusion penetration, fusion width, top weld width, depth-to-width ratio, weld reinforcement, nailhead half-angle was established.Training samples were obtained from abundant process experiments and normalized for reducing prediction error.The predicted results indicate that maximum relative error is less than 5%, and the prediction requirement can be satisfied.
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