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机构地区:[1]华侨大学模具技术研究中心,福建泉州362021
出 处:《中国塑料》2009年第11期69-74,共6页China Plastics
基 金:福建省自然科学基金项目资助(E0810040)
摘 要:采用田口实验设计方法与BP神经网络技术,选取模具温度、模压时间、注射压力和模压压力四因素四水平安排正交试验,分析了工艺参数对乙烯-醋酸乙烯共聚物(EVA)塑料发泡倍率的影响程度。结果发现,模具温度对发泡倍率的影响较为显著,模压时间次之,注射压力与模压压力的影响较小。最后选取对倍率影响较大的模具温度、模压时间与注射压力工艺参数,对不同形状与尺寸的标准试样模具安排正交实验,以实验结果作为神经网络的样本数据,经过训练后的神经网络能够较为准确地预测EVA塑料的发泡倍率。In the paper, with Taguchi experiment design method and BP (Back Propagation) neural network technology, the effects of four factors, molding temperature, molding time, injection pressure, and molding pressure on the expansion ratio of foamed ethylene-vinyl acetate copolymer (EVA) were studied with a four-level orthogonal experiment. It was concluded that the effect of molding temperature was the most obvious, that of molding time the second, and those of injection pressure and molding pressure were smaller. Taking molding temperature, molding time, and injection pressure as the parameters, another orthogonal experiment was carried out for different shapes and sizes of the standard sample molds. The experiment results were used as neural network sample data, and expansion ratio of foamed EVA plastics could be predicted more accurately using after trained neural network.
关 键 词:预测 田口实验设计方法 BP神经网络 乙烯-醋酸乙烯共聚物 发泡倍率
分 类 号:TQ328[化学工程—合成树脂塑料工业]
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