Inverse algorithm for optimal processing of composite materials

Bailleul, Jean‐Luc; Sobotka, Vincent; Delaunay, Didier; Jarny, Y.

doi:10.1016/s1359-835x(03)00141-6

Cited by 44 publications

(52 citation statements)

References 7 publications

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“…Moreover excellent experimental fitting was obtained with the Bailleul's model [11]. Based on a polynomial interpolation of the DSC results, a 5 th degree function gives excellent results.…”

Section: Kinetic Modelmentioning

confidence: 80%

Modelling of the thermokinetic behaviour and the phases transitions of a carbon/polymeric composite submitted to high heating rate ramps

2010

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Our on-going work focuses on curing time reduction owing to the Roctool Cage System® on aeronautical prepregs. Our very first aim is thus to define the limits of this process in order to get the shortest cure cycles (objective function) while respecting some constrained functions such as: no degradation of the polymeric matrix and final degree of cure α and T g at least equal to those obtained on the autoclave-cured material according to the cure cycle recommended by the prepreg manufacturer. The prepreg investigated here is the Hexply M21/35%/268/T700GC carbon/polymeric matrix produced by Hexcel Composites France. The presence of thermoplastics enhances the risk of matrix degradation during curing. Effectively, in these kinds of polymers blends (when thermoplastic content > 10 wt %) phase separation may occur and modify the reaction rates. Beside the determination of the prepreg cure kinetics (studied by DSC), a Time Temperature Transformation diagram was settled. Consequently, the M21 matrix degradation was studied from room temperature up to 600 °C by TGA for heating rates ranging from 1 up to 100°C/min.

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Section: Kinetic Modelmentioning

confidence: 80%

Modelling of the thermokinetic behaviour and the phases transitions of a carbon/polymeric composite submitted to high heating rate ramps

2010

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“…Cure time can be reduced by up to 30% for thick parts [1][2][3] and 50% for ultra-thick parts [4][5][6], whereas targeting the minimisation of residual stresses in a single-objective profile optimisation context can lead to their reduction by about 30% [7][8][9][10][11][12]. The optimal solutions obtained in single optimisation setups merging objectives in a weighted sum [13,14] are dependent on the weights which imply a relative prioritisation between the different objectives.…”

Section: Introductionmentioning

confidence: 99%

Stochastic multi-objective optimisation of the cure process of thick laminates

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Struzziero

et al. 2018

Composites Part A: Applied Science and Manufacturing

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“…The design of the preform can be optimized so as to decrease the filling time and the weight of the part while improving its mechanical properties [4]. The cycle of temperature of the part can be determined in order to minimize residual stresses in the part [5] or to minimize the gradient of degree of cure in the thickness of the part [6]. Heat transfer appears then to be a key point to satisfy these conditions in the different stages of the process.…”

Section: Introductionmentioning

confidence: 99%