2001
DOI: 10.1016/s0020-7683(00)00418-2
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Microstructure-based deep-drawing simulation of knitted fabric reinforced thermoplastics by homogenization theory

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Cited by 47 publications
(22 citation statements)
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“…Once the large strain distribution is obtained in the macroscopic sense, the properties can be predicted numerically based on the microstructural large deformation [12,13] or we can compare with the ultimate strain [11,14] for the design of components. The in-plane shear strain of the composite plate under large deformation must be studied carefully as pointed out in [15].…”
Section: Digital Image-based Measurement Technique Of Large Strain DImentioning
confidence: 99%
“…Once the large strain distribution is obtained in the macroscopic sense, the properties can be predicted numerically based on the microstructural large deformation [12,13] or we can compare with the ultimate strain [11,14] for the design of components. The in-plane shear strain of the composite plate under large deformation must be studied carefully as pointed out in [15].…”
Section: Digital Image-based Measurement Technique Of Large Strain DImentioning
confidence: 99%
“…Micro-mechanical models can be used to describe woven fabrics used for ballistic protection [1], while other models have been developed long before to understand drape shapes of woven fabrics [2] or stiffness and strength of woven fabric composites [3]. Similarly, the mechanical properties of knitted fabrics have been modeled for pure [4] and reinforced textiles [5,6]. Besides these mechanical properties, other parameters have been calculated, such as heat and moisture transfer [7][8][9] or the bagging behavior of wool fabrics [10].…”
Section: Introductionmentioning
confidence: 99%
“…To reduce this computational cost, various techniques have been devised. These include, for example, the construction of a database with the homogenized properties [7], sensitivity analysis [8], Fast Fourier Transforms [9], and so on. In a previous work, we proposed a homogenization method using characteristic deformation mode superposition [10,11].…”
Section: Introductionmentioning
confidence: 99%