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Design and Optimization of Expert Database System for Cast and Roll Production of Copper Tubes
Abstract:
To solve the problems of change design and massive work and low efficiency during Cast & Roll processes design, an expert database system for Cast & Roll process design of copper tubes has been developed. Knowledge reasoning, Artificial Neural Networks (ANN), Genetic Algorithm (GA), Numerical Simulation, Uniform Design, CAD Parameterization Design, database and Intranet have been integrated into the system for process design and parameter optimization, which can exert the advantage of each technology. The design method has been proved to be successful.
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1939-1943
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December 2011
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© 2012 Trans Tech Publications Ltd. All Rights Reserved
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