The knowledge of the material behavior and production parameters during forming process of textile composite reinforcements are important to determine the conditions for a successful manufacturing of a composite preform without defects. To address this knowledge numerical tools capable to predict the behavior of textile composite reinforcements during complex 3D shaping are extremely important. In this work, the hyperelastic constitutive model proposed in [1] is improved to investigate the formability of a single layer E-glass non-crimp 3D orthogonal woven reinforcement (commercialized under trademark 3WEAVE® by 3Tex Inc.). Comparisons between experiments and numerical simulations of tetrahedron and doubledome draping processes demonstrated the adequacy of the adopted model to predict the mechanical behaviour of the non-crimp 3D woven reinforcement during complex shape forming.

Hyperelastic model for forming simulations of a non-crimp 3D orthogonal weave E-glass composite reinforcemen

CARVELLI, VALTER;
2014-01-01

Abstract

The knowledge of the material behavior and production parameters during forming process of textile composite reinforcements are important to determine the conditions for a successful manufacturing of a composite preform without defects. To address this knowledge numerical tools capable to predict the behavior of textile composite reinforcements during complex 3D shaping are extremely important. In this work, the hyperelastic constitutive model proposed in [1] is improved to investigate the formability of a single layer E-glass non-crimp 3D orthogonal woven reinforcement (commercialized under trademark 3WEAVE® by 3Tex Inc.). Comparisons between experiments and numerical simulations of tetrahedron and doubledome draping processes demonstrated the adequacy of the adopted model to predict the mechanical behaviour of the non-crimp 3D woven reinforcement during complex shape forming.
2014
16th European Conference on Composite Materials
9788461697984
3D composite reinforcement; Forming; Finite element modelling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/883414
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