Study on Fiber Diameter of Melt Blowing Nonwovens Produced by Dual Slot Inset Blunt Die via Artificial Intelligent Approaches and Statistical Methods

摘要：

Melt blowing is used as a single-step process for converting polymer resin directly into a nonwoven web of microfiber. The dual slot inset blunt die is often used to yield polymer fibers in the melt blowing process. The objective of this paper is to investigate the fiber diameter of melt blowing nonwovens produced by inset blunt die using an artificial neural network model and statistical model. The fiber diameter of melt blowing nonwoven is mostly influenced by processing parameters. A good correlation between predicted and actual fiber diameter can be predicted by two models. The results show that ANN model is more effective than statistical model, which is an excellent approach for predictors.

关键词： neural network statistical model fiber diameter inset blunt die melt blowing.

作者: Zhao Bo

作者单位: College of Textiles Zhongyuan University of Technology Henan,Zhengzhou,450007,China.

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 1027-1030

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）