Neural Model of the Producing Process for Predicting Filtration Properties of Melt Blowing Nonwovens

Abstract:

The filtration properties of melt blowing nonwovens are affected by the pore structure of nonwovens which is strongly related to the processing parameters. However, it is difficult to establish physical models on the relationship between the processing parameters and filtration properties. In this work, the ANN model is established for predicting the filtration properties of melt blowing nonwovens from the processing parameters. The results reveal that the ANN method is really an effective and viable modeling technique. This method can exactly predict the filtration properties because the results are good enough

• Periodical: Advanced Materials Research (Volume 577)
• Pages: 47-50
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.577.47
• Online since: October 2012
• Authors: Bo Zhao
• Keywords: Artificial Neural Network Model, Filtration Performance, Melt Blowing, Nonwoven, Processing Parameter

References

[1] T. Chen: Textile Res. J. Vol. 73(2003), p.651.

[2] M. A. J. Uyttendaele: AIChE J. Vol. 6(1990. ), p.175.

[3] T. Chen: Modeling Simul. Mater. Sci. Eng. Vol. 13(2005. ), p.575.

[3] Y. C. Zeng: Textile Res. J. Vol. 74(2004), p.689.

[4] G. F. Yao: Textile Res. J. Vol. 75(20005), p.274.

[5] M. T Hagan, in: Neural Network Design, China Machine Press, Beijing(2007).