中国塑料 ›› 2014, Vol. 28 ›› Issue (03): 87-92 .DOI: 10.19491/j.issn.1001-9278.2014.03.017

• 加工与应用 • 上一篇    下一篇

RSM结合GA-BP的聚碳酸酯细长杆轴向变形预测

谭小红 王雷刚   

  1. 江苏大学材料学院 浙江工贸职业技术学院 江苏大学
  • 收稿日期:2013-07-04 修回日期:2013-10-23 出版日期:2014-03-15 发布日期:2014-03-15

Polycarbonate Slender Pen Rod Axial Deformation Prediction Combined RSM with GA-BP

谭 小红   

  • Received:2013-07-04 Revised:2013-10-23 Online:2014-03-15 Published:2014-03-15
  • Contact: 谭 小红

摘要: 对聚碳酸酯(PC)注塑的4个工艺变量的GA-BP和RSM 2种优化方法进行了比较,并综合应用2种方法的优点,优化预测了PC细长杆填充过程中的工艺参数。为获得最小的轴向变形,选择模具温度、熔体温度、保压时间、保压压力4个工艺变量,通过RSM获得最优的工艺参数组合为[A3,B3,C1,D1],应用GA-BP预测此工艺条件下的最小的轴向变形值为0.0064 mm, Moldflow软件的模拟值为0.0063 mm,预测精度达到1.58 %;通过与9组随机试验的模拟精度比较,GA-BP和RSM的预测最大绝对误差分别为5.48 %、7.41 %,相对误差分别为2.76 %、3.13 %,通过GA-BP 和 RSM二者联合预测精度有了很大提高。

关键词: 注射成型, 响应面, 聚碳酸酯

Abstract: Four process parameters, mold temperature, melt temperature, holding time, and holding pressure, in injection molding of slender polycarbonate (PC) parts were optimized using GA-BP and RSM methods. The RSM method resulted in the optimal parameter combination of [A3, B3, C1, D1]. The GA-BP method predicted that the minimum axial deformation was 0.0064 mm, very close to the Moldflow simulated value of 0.0063 mm. For 9 groups of random trials, the maximum absolute errors of prediction by GA-BP and RSM were 5.48 % and 7.41 %, and the relative errors were 2.76 % and 3.13 %, respectively. It showed that the combination of GA-BP and RSM provided a high prediction accuracy.

Key words: injection molding, response surface method, polycarbonate