摘要
结合正交试验法和数值分析,以最大翘曲量为质量指标,研究了不同工艺条件下某Y型电连接器接触件注塑成型过程,通过对翘曲变形的极差分析,确定了熔体温度、模具温度、注射时间、保压压力、保压时间等工艺参数对翘曲变形的影响敏感性。利用BP(back propagation)人工神经网络,建立主要工艺参数和塑件翘曲变形量之间的数学模型,并进行了预测。结果表明:所建立的数学模型具有较高的预测精度,从而达到以较少的试验实现注塑成型工艺的优化与控制。
Integrated with orthogonal design and numerical simulation, injection molding process of Y -type electrical connecting contactors was conducted to study the influence of process parameters on maximal warp value, which were regarded as quality indicators. The extent of the overall influence to the processing parameters, such as melt temperature, mold temperature, injection time, packing pressure, packing time, was determined for warpage deformation by analysis of range. Based on the BP (Back Propagation) artificial neural network, the mathematical model between the warpage of plastic parts and main process parameters was established, and then it was put to use the forecast. It was showed that the established mathematical model had high prediction precision, in order to achieve the optimization and control of injection molding process carrying on few experiments.
出处
《塑料》
CAS
CSCD
北大核心
2014年第1期111-114,共4页
Plastics
基金
2012年度泰州市科技成果转化资金项目
关键词
注塑成型
数值分析
正交试验
翘曲变形
BP人工神经网络
injection molding
numerical analysis
orthogonal experiment
warpage deformation
BP artificial neural network