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机构地区:[1]北京科技大学,北京100083 [2]中国科学院过程工程研究所,北京100080
出 处:《硅酸盐学报》2006年第9期1112-1116,共5页Journal of The Chinese Ceramic Society
基 金:国家自然科学基金(50425415)资助项目
摘 要:在以肼为还原剂的化学镀新体系制备镍包覆六方BN陶瓷颗粒的实验研究基础上,进行了小试和扩大试验,并用网络化的神经网络-遗传算法对这些包覆工艺参数进行了优化。结果表明:在固定硫酸镍和肼质量比的条件下,用肼化学镀镍制备包覆BN粉体的最佳工艺条件为:添加剂(NH4)2SO4质量浓度为5g/L,温度为345K,每100mL溶液中加入9mL氨水,表面活性剂十二烷基磺酸钠用量为0.5ml/L。所制备的镍包覆完全的氮化硼粉体基本符合用于制备涡轮发动机部件的自磨耗封严涂层的要求。与此同时还预报了各因素对镀层的影响,实验结果与预报相比较,两者吻合很好。The nickel coating BN ceramic particles were prepared by a new chemical plating system and using hydrazine as a reduc- ing agent and ammonia as a complexing agent. Based on a large amount of research work on different scale in laboratory, an artificial neural network genetic algorithm program on computer network was designed to use in the optimization of the process parameters. Under the condition of fixed the mass ratio of nickel sulphate to hydrazine, the optimized condition is a process temperature of 345 K, a (NH4)2SO4 adding amount of 5 g/L, adding 9 mL NH4OH in 100 mL solution and 0.5 g/L surfactant of sodium dodecyl sulfonate. Under this condition the Ni planted BN particles were prepared and can be used in preparing the coating film on some parties as dynamic abradable seal in turbine engine. The effect of every factor on the coating of the particle was predicted. The experimental results are in accordance with predicted results.
关 键 词:镍包覆 氮化硼陶瓷颗粒 化学镀 网络化的神经网络-遗传算法 优化工艺参数
分 类 号:TQ153.12[化学工程—电化学工业]
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