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为了开发钢铜石墨高温自润滑复合板材的复合技术,对钢板与QT i3.5-3.5石墨半固态浆料的压力复合进行了研究。采用人工神经网络建立了钢板预热温度、模具预热温度、QT i3.5-3.5石墨半固态浆料固相率等复合参数与钢-QT i3.5-3.5石墨复合板界面剪切强度之间的关系,并且利用遗传算法进行了优化,得到了合理的复合工艺。结果表明:在钢板预热温度为618℃、模具预热温度为526℃、QT i3.5-3.5石墨半固态浆料固相率为46.2%的条件下进行压力复合,复合板最大界面剪切强度为128.3M Pa。
In order to develop composite technology of high-temperature steel-graphite self-lubricating composite sheet, the pressure composites of steel and QT i3.5-3.5 graphite semi-solid slurry were studied. The artificial neural network was used to establish the parameters of preheating temperature, preheating temperature of mold, the solid fraction of QT i3.5-3.5 graphite semi-solid slurry and the interfacial shear strength of steel-QT i3.5-3.5 graphite composite board And the relationship between them, and the use of genetic algorithms have been optimized to obtain a reasonable composite process. The results show that under the conditions of preheating temperature of steel plate of 618 ℃, preheating temperature of mold of 526 ℃ and solid fraction of QT i3.5-3.5 graphite semi-solid slurry of 46.2%, the maximum interfacial shear of composite plate The intensity is 128.3M Pa.