Toward Enhanced Forming Simulation of Woven Fabrics Using a Coupled Non-Orthogonal Hypoelastic Constitutive Model, Integrated with a New Wrinkling Onset Criterion

Kashani, Milad Haghi; Hejazi, Masoud; Hosseini, Seyed Abbas; Sassani, Farrokh; Ko, Frank; Milani, Abbas S.

doi:10.12783/asc2017/15401

Cited by 2 publications

(7 citation statements)

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“…The response shows the multi-phased response discussed in several research works. 12,13,20,21 The first phase is a ramp up in resistance indicating the fabric overcoming the resistance against yarn rotation deformation. The second phase is a plateau suggesting overall free rotation of the fibers.…”

Section: Resultsmentioning

confidence: 99%

“…The response shows the multiphased response discussed in several research works. 12,13,20,21 The first phase is a ramp up in resistance 2))…”

Section: Characterization Of Bias-extension Specimensmentioning

confidence: 99%

“…5,11 On the other hand, some work suggests that the two testing methods can produce different results. The difference may result from spurious fiber tension in a picture frame specimen 12,13 or inter-yarn sliding in bias-extension specimens. 8,14–16 To improve the current modeling capability of in-plane shear behavior, engineers need to make better informed decisions in choosing the testing methods.…”

Section: Introductionmentioning

confidence: 99%

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Experimental characterization and numerical modeling of in-plane shear behavior of woven prepreg composite fabrics

Yang

Colton

2023

Journal of Reinforced Plastics and Composites

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In-plane shear deformation is a highly important mechanic that controls the formation of wrinkles during the forming of textile composites. This paper presents two computational formulations that describe the in-plane shear behavior of woven thermoset prepreg fabric. The bias-extension characterization test was used to validate the computational models. One of the two computational models presented is based on linear visco-elasticity and the other is based on visco-hyperelasticity. The comparison of simulation and experiments shows that a visco-hyperelastic model is necessary to accurately capture the behavior of woven composite prepregs. This paper also compares the experimental measurements with calculations based on the pin-jointed net theory to develop a criterion that helps to determine the range of the bias-extension experiment data that can be used to validate and calibrate computational models.

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Section: Resultsmentioning

confidence: 99%

“…The response shows the multiphased response discussed in several research works. 12,13,20,21 The first phase is a ramp up in resistance 2))…”

Section: Characterization Of Bias-extension Specimensmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental characterization and numerical modeling of in-plane shear behavior of woven prepreg composite fabrics

Yang

Colton

2023

Journal of Reinforced Plastics and Composites

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“…Alternatively, a probit regression can be used obtain the binomial regression of the experimental forming outcome data, as shown in equation (7).…”

Section: Theorymentioning

confidence: 99%

“…It is commonly accepted that computational physics modeling needs to be used because of the complex material behavior of uncured continuous-fiber composites. [4][5][6][7][8] While wrinkles appear to be a bending phenomenon, their occurrence is found to be strongly related to the in-plane deformation behavior and ply-ply interaction behavior of a composite. 9 Therefore, a composite laminate of different layups yields distinct forming performance.…”

Section: Introductionmentioning

confidence: 99%

Statistical analysis and modeling of wrinkle defects in continuous-fiber composite forming processes

Yang,

Colton

2023

Journal of Reinforced Plastics and Composites

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Wrinkles are detrimental to the performance of composite components. The prediction of wrinkling during forming is challenging because of complex material interactions. Current computational modeling methods are capable of wrinkle prediction but only for one given set of parameters per simulation cycle. To improve the prediction of wrinkles, this article presents a theory that correlates wrinkle formation with factors such as composite layup and part dimension. This theory allows one to perform design of experiments for physical or virtual forming tests and obtain binomial probability distributions capable of wrinkle prediction. The theory is validated with forming experiment data and demonstrates its potential in wrinkle prediction.

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Toward Enhanced Forming Simulation of Woven Fabrics Using a Coupled Non-Orthogonal Hypoelastic Constitutive Model, Integrated with a New Wrinkling Onset Criterion

Cited by 2 publications

References 0 publications

Experimental characterization and numerical modeling of in-plane shear behavior of woven prepreg composite fabrics

Experimental characterization and numerical modeling of in-plane shear behavior of woven prepreg composite fabrics

Statistical analysis and modeling of wrinkle defects in continuous-fiber composite forming processes

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