Prediction of the Bending Capability of Rolled Metal Sheet by Genetic Programming
作者： Miha Kovacic , Peter Uratnik , Miran Brezocnik , Radomir Turk
DOI: 10.1080/10426910701323326
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摘要: The paper proposes genetic programming (GP) to predict the bending capability of rolled titanzinc metal sheet. In this study ZnTiCu alloy with ∼ 0.1% Cu and Ti was used for production Three groups independent input variables were measured: (1) chemical composition during casting (percentage Cu, Ti, Fe), (2) parameters hot rolling (temperature ingot before rolling, time temperature plate after cooling), (3) cold sheet rolling). Therefore, nine (parameters) influence metal. On basis experimental data, several models prediction developed by simulated evolution. individual on also studied. most accurate model verified an testing dat...
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