Material Models Used to Predict Spring-in of Composite Elements: a Comparative Study

Galińska, Anna

doi:10.1007/s10443-016-9519-y

Cited by 9 publications

(15 citation statements)

References 17 publications

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“…The linear elastic material model is the simplest; therefore, it allows to obtain theoretically the least reliable results, but also with the least computational effort. The recent results indicate, however, that the linear elastic model results may be accurate enough for engineering purposes .…”

Section: Introductionmentioning

confidence: 96%

“…However, even the numerical models are mainly focused on the flat or single‐curved composite elements, such as C‐sectioned spars . There are only few attempts to model double‐curved composite structures presented in available literature . Following an initial model development by Bogetti and Gillespe from University of Delaware , the researchers at University of British Columbia were the first to develop the most comprehensive model and software for predicting process‐induced deformation (COMPRO) .…”

Section: Introductionmentioning

confidence: 99%

“…The results of the calculations were compared to the real deformations showing good agreement. In the author's previous work, the spring‐in deformations of a double‐curved wing leading edge cured out‐of‐autoclave were modeled with the use of a 3‐D FE model . The tool was modeled to take into account the change of its dimensions caused by the cure temperature.…”

Section: Introductionmentioning

confidence: 99%

“…The results of the calculations were compared to the real deformations showing good agreement. There are three material models of different complication level used: linear elastic , cure hardening instantaneous linear elastic (CHILE) , and viscoelastic . However, the viscoelastic models are used mainly for the evaluation of residual stresses, not for the modeling of the process‐induced deformations.…”

Section: Introductionmentioning

confidence: 99%

“…However, the CHILE model requires a lot of experimental material data, which are hard to measure and in consequence may retard the compensation of the deformations and discourage the use of this method in commercial applications. The author's previous work indicates that the linear elastic material model allows to predict the process‐induced deformations of a composite part as precisely as the CHILE model . Taking into account that the linear elastic model is simpler and requires much less experimental effort than the CHILE model, it is more economic to use it in the process of the compensation of the process‐induced deformations.…”

Section: Introductionmentioning

confidence: 99%

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Compensation of process‐induced deformations of double‐curved carbon–epoxy composite elements

Galińska

2019

Polymer Composites

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The process‐induced deformations constitute a severe obstacle to composite part designing and manufacturing. Therefore, in the present work, a method of geometric compensation of those deformations is presented. The compensation process starts with the development of a calculation method which allows to calculate the deformations with the use of Finite Element Method. Linear elastic material model is used in the calculations. Then, the calculated deformations are used to design the compensated geometry of the tool which allows to decrease the deformations of the cured part. The compensation method was verified by compensating and manufacturing a double‐curved fragment of a composite wing leading edge. It appeared that the compensation method allowed to decrease the initial deformation of the structure fragment by approximately 77%. POLYM. COMPOS., 40:3666–3677, 2019. © 2019 Society of Plastics Engineers

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Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Compensation of process‐induced deformations of double‐curved carbon–epoxy composite elements

Galińska

2019

Polymer Composites

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Rapid prediction and inverse design of distortion behaviors of composite materials using artificial neural networks

Luo

Zhang

et al. 2020

Polymers for Advanced Techs

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If the process‐induced distortions (PIDs) of asymmetrical laminates can be predicted accurately and tailored at the early design stage, the production of curved panels from flat molds could be an attractive technique in a cost‐driven production environment. A data‐driven computational methodology which integrates the finite element method (FEM) and artificial neural network (ANN) is presented to rapidly predict the maximum PID and to perform high‐throughput screening of thermosetting‐matrix composites of an asymmetrical laminate for a targeted maximum PID. We performed a grid search on ANN architectures and hyper‐parameters using cross‐validation and obtained a well‐trained ANN model with high generalization performance. For the forward problem, the ANN model was adopted to predict the maximum PIDs of CYCOM X850 and CYCOM 977‐2 prepregs, which were subsequently verified experimentally. For inverse design, a large‐scale screening method based on the ANN model was utilized to determine the candidates for a targeted maximum PID, with an experimental demonstration using one of these candidates. The well‐trained ANN model provides an alternative approach to faster computation with high accuracy for the maximum PID prediction and further guides the discovery of materials with desired distortion behaviors.

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A novel post‐forming method for fully cured thermosetting composite parts: Prediction and investigation

Sun,

Xie,

Liu

et al. 2024

Polymer Composites

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The objective of this work is to devise a post‐forming technique capable of accurately and significantly altering the shape of fully cured thermosetting composite parts. To accomplish this goal, the viscoelastic behavior and resulting deformation of fully cured parts at elevated temperatures were predicted and examined using viscoelastic mechanics, finite element analysis (FEA), surrogate modeling, and the particle swarm optimization (PSO) method. Firstly, the mechanism of fully cured parts' shape adjustment based on viscoelastic mechanics was introduced, and a method was established for the inverse identification of the stress relaxation ratio in the different directions of material. Secondly, an FEA model for predicting post‐forming was developed based on the standard linear‐solid viscoelastic model. A dataset was then compiled using parameterized FEA to train a rapid prediction model for post‐forming. The influence of various forming and structural parameters on the post‐forming process was examined. The results indicate that layup has the most significant impact, followed by displacement and temperature. The radial basis function was selected to construct the precise surrogate model after comparing it with the Kriging model and the Response Surface Methodology (RSM) model. Ultimately, to achieve the desired shape after post‐forming, the PSO method can be employed to determine the ideal combination of forming parameters.Highlights The post‐forming method could adjust the shape of fully cured composites. The mechanism of post‐forming is based on viscoelastic behavior. An accurate FEA based on the standard linear‐solid model was established. The radial basis function was developed for quick and precise prediction. The particle swarm optimization could obtain the ideal forming parameters.

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Material Models Used to Predict Spring-in of Composite Elements: a Comparative Study

Cited by 9 publications

References 17 publications

Compensation of process‐induced deformations of double‐curved carbon–epoxy composite elements

Compensation of process‐induced deformations of double‐curved carbon–epoxy composite elements

Rapid prediction and inverse design of distortion behaviors of composite materials using artificial neural networks

A novel post‐forming method for fully cured thermosetting composite parts: Prediction and investigation

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