Impregnation quality diagnosis in Resin Transfer Moulding by machine learning

Author(s):  
J. Mendikute ◽  
J. Plazaola ◽  
M. Baskaran ◽  
E. Zugasti ◽  
L. Aretxabaleta ◽  
...  
2012 ◽  
Vol 43 (2) ◽  
pp. 819-824 ◽  
Author(s):  
Geneviève Palardy ◽  
Pascal Hubert ◽  
Eduardo Ruiz ◽  
Mohsan Haider ◽  
Larry Lessard

2010 ◽  
Vol 160-162 ◽  
pp. 1211-1216
Author(s):  
Zhuang Liu ◽  
Xiao Qing Wu

The impregnation stage of the Resin Transfer Moulding process can be simulated by solving the Darcy equations on a mould model, with a ‘macro-scale’ finite element method. For every element, a local ‘meso-scale’ permeability must be determined, taking into account the local deformation of the textile reinforcement. This paper demonstrates that the meso-scale permeability can be computed efficiently and accurately by using meso-scale simulation tools. We discuss the speed and accuracy requirements dictated by the macro-scale simulations. We show that these requirements can be achieved for two meso-scale simulators, coupled with a geometrical textile reinforcement modeller. The first solver is based on a finite difference discretisation of the Stokes equations, the second uses an approximate model, based on a 2D simulation of the flow.


2010 ◽  
Author(s):  
J Summerscales ◽  
◽  
C Hoppins ◽  
P Anstice ◽  
N Brooks ◽  
...  

1999 ◽  
pp. 209-316
Author(s):  
Manfred Flemming ◽  
Gerhard Ziegmann ◽  
Siegfried Roth

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