2013
DOI: 10.1016/j.simpat.2012.12.002
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Simulation of bleeder flow and curing of thick composites with pressure and temperature dependent properties

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Cited by 10 publications
(4 citation statements)
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“…• precise temperature history prediction [23][24][25], which prevents the resin system from turning into a gel before the mould is filled (or the resin system curing too quickly in the composite [26][27][28]); • prediction and measurement of flow patency to determine with reasonable accuracy the temperature and velocity of the resin system in the mould [29][30][31].…”
Section: Introductionmentioning
confidence: 99%
“…• precise temperature history prediction [23][24][25], which prevents the resin system from turning into a gel before the mould is filled (or the resin system curing too quickly in the composite [26][27][28]); • prediction and measurement of flow patency to determine with reasonable accuracy the temperature and velocity of the resin system in the mould [29][30][31].…”
Section: Introductionmentioning
confidence: 99%
“…Up until now, the method of FEA has been extensively adopted for composites in the curing process [4,5,6,7,8,9,10,11,12], and diverse models have been developed to forecast the stress and deformation that arises from uneven degree of cure (DOC) and temperature [13,14,15,16,17,18,19,20]. Numerical models based on finite element methods (FEM) have been used to research the mechanisms generating residual stresses [4].…”
Section: Introductionmentioning
confidence: 99%
“…9,10 Such models correlate temperature with the curing degree and have frequently been implemented as off-line curing simulation tools. 11,12 The current study investigates the prospect of monitoring curing in-line via the typical temperature sensors (thermocouples or TCs and infrared thermography or IRT) through establishing a reliable correlation between temperature and curing degree. The motivation behind this work is that temperature monitoring comes with certain advantages over other cure monitoring methods.…”
Section: Introductionmentioning
confidence: 99%
“…9,10 Such models correlate temperature with the curing degree and have frequently been implemented as off-line curing simulation tools. 11,12…”
Section: Introductionmentioning
confidence: 99%