Predicting the fibre diameter of melt blown nonwovens: Comparison of physical, statistical and artificial neural network models

Modelling and Simulation in Materials Science and Engineering

Volumn 13, Issue 4, 2005, Pages 575-584

  Chen, Ting ^a   Li, Liqing ^a   Huang, Xiubao ^a  

^a DONGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BLOW MOLDING; MELTING; NEURAL NETWORKS; PARAMETER ESTIMATION; POLYMERS; PROCESS CONTROL; REGRESSION ANALYSIS; STATISTICAL METHODS;

AIR DRAWING; AIR JET FLOWS; MELT BLOWING TECHNOLOGY; NOISY DATA;

NATURAL FIBERS;

BLOWING; FIBERS; MELTING; PARAMETERS; POLYMERS; PROCESS CONTROL;

EID: 19944374873     PISSN: 09650393     EISSN: None     Source Type: Journal    
DOI: 10.1088/0965-0393/13/4/008     Document Type: Article

References (12)

1. Uyttendaele M A J and Shambaugh R L 1990 Melt blowing: general equation development and experimental verification AIChE J. 36 175
2. Harpham A S and Shambaugh R L 1996 Flow field of practical dual rectangular jets Indust. Eng. Chem. Res. 35 3776
3. Harpham A S and Shambaugh R L 1997 Velocity and temperature fields of dual rectangular jets Indust. Eng. Chem. Res. 36 3937
4. Bansal V and Shambaugh R L 1998 On-line determination of diameter and temperature during melt blowing of polypropylene Indust. Eng. Chem. Res. 37 1799
5. Chen T and Huang X 2004 Air drawing of polymers in the melt blowing nonwoven process: mathematical modelling Modelling Simul. Mater. Sci. Eng. 12 381
6. Chen T, Wang X and Huang X 2004 Modeling the air-jet flow field of a dual slot die in the melt blowing nonwoven process Textile Res. J. 74 1018
7. Castro J C, Ríos M C and Mount-Campbell C A 2004 Modelling and simulation in reactive polymer processing Modelling Simul. Mater. Sci. Eng. 12 S121
8. Ramesh M C, Rajamanickam R and Jayaraman S 1995 The prediction of yarn tensile properties by using artificial neural networks J. Textile Inst. 86 459
9. Debnath S, Madhusoothanan M and Srinivasamoorthy V R 2000 Prediction of air permeability of needle-punched nonwoven fabrics using artifical neural network and empirical models Indian J. Fibre Textile Res. 25 251
10. Ertugrul S and Ucar N 2000 Predicting bursting strength of cotton plain knitted fabrics using intelligent techniques Textile Res. J. 70 845
11. Guba A, Chattopadhyay R and Jayadeva 2001 Predicting yarn tenacity: a comparison of mechanistic, statistical and neural network models J. Textile Inst. 92 139
12. Zheng H 2002 The study on the process-structure-filtration properties of PP melt blown non-woven fabric Master Thesis Donghua University, Shanghai