Analysis of process-induced deformation on the spring-in of carbon fiber-reinforced polymer thin laminates

Corrado, Andrea; Polini, Wilma

doi:10.1177/0021998319828443

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…The sensitivity analysis presented in [32] shows the high influence of variations in fiber volume fraction on the spring-in angles. Further works investigate the effects of the local fiber orientation [33] on the spring-in effect as well as the influence of process parameter variations [34] numerically and experimentally. While most variation analyses concentrate on the spring-in effect, variations on micro and meso scale affect as well the structural performance of the part.…”

Section: Tolerance Analysis Of Composite Structuresmentioning

confidence: 99%

Tolerance Optimization of Patch Parameters for Locally Reinforced Composite Structures

Franz

Wartzack

2022

Appl Compos Mater

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A rising number of applications and increasing volume of composite structures production lead to a high relevance of variation management during their design. Structural optimization for lightweight purposes often results in designs consisting of a base laminate with local reinforcement patches. Nominally, these optimized designs offer a thorough exploitation of lightweight potential. Yet, they suffer from variations of the reinforcements resulting in a worsened manufacturing behavior and reduced structural performance. To ensure the quality, tolerances should be allocated for the parameters of the local reinforcement patches. Therefore, in the current contribution a tolerance optimization method is presented identifying optimal tolerance values for the design parameters of the reinforcements with respect to the structural behavior. This includes the discussion of challenges regarding the suitable parametrization and modeling of local reinforcement patches for variation simulation based on Finite Element Analysis (FEA), the usage of surrogate modeling to reduce the computational effort of structural analyses, as well as an approach to penalize tight tolerances of different parameter types. The proposed tolerance optimization is applied to a use case. Tolerances for the patch parameters are optimized, meeting the structural quality constraints of the composite structure.

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Section: Tolerance Analysis Of Composite Structuresmentioning

confidence: 99%

Tolerance Optimization of Patch Parameters for Locally Reinforced Composite Structures

Franz

Wartzack

2022

Appl Compos Mater

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“…In the third step, FEA was used one more time to calculate the sensitivity matrix for the assembly. In this step, a point-to-point connection was used to simulate the glue, 10,21 through beam-elements, in all areas of assembly between all nodes of parts. By this fastening model, no type of contact between parts to be assembled was used.…”

Section: Mic Numerical Modelmentioning

confidence: 99%

“…8 Some geometrical parameters together with structural parameters influence the spring-in angle of L-shaped parts. 9,10 The research works, on variation analysis of polymer matrix composite assemblies, are very few. An experimental approach to predict and control dimension variation for composites with polymer matrix and fiber reinforcement was used in Ref.…”

Section: Introductionmentioning

confidence: 99%

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Two numerical tools for geometrical deviation management in composite assemblies: a comparison

Polini

Corrado

2020

Journal of Composite Materials

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The present work compares two numerical tools to predict the geometrical deviations of an assembly constituted by thin laminates in composite material. The first one is based on a virtual representation of both the manufacturing and the assembling processes, able to generate the variability meta-model for each component to be used in a skin-based assembly. The second one estimates the sensitivity matrix that connects the components’ variations to the assembly’s variations in the method of influence coefficients (MIC). They were experimentally verified on a case study. The comparison underlined the critical issue of both the tools.

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A stacking sequence optimization strategy for process‐induced deformation of multi‐layer thick asymmetric laminates

Jia,

Zhu,

Yan

et al. 2024

Polymer Composites

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The occurrence of process‐induced deformations of composites laminates is challenging for assembly accuracy and may lead to a service life reduction of parts. However, it can be obviously mitigated through different optimization strategies on the basis of the accurate curing process simulation. In this study, a stacking sequence optimization strategy is proposed and applied to multi‐layer thick asymmetric laminates. The shapes of deformed laminate plates are experimentally investigated in virtue of the three‐dimensional coordinate measuring machine. The thermo‐chemical–mechanical behaviors of plates are first verified through the comparisons of model predicted and experimental process‐induced deformations. Then the nonlinear control formula achieved through the regression model is proposed for the direct relationship between stacking sequences and process‐induced deformations. Finally, the required solutions are generated by solving the control formula. With the comparisons between the average deformations before and after optimizations, it is found that the magnitudes of deformations are significantly reduced, especially when the unoptimizated deformations are large.Highlights The thermo‐chemical–mechanical behavior can be described in the curing process simulation model. The deformed shapes of multi‐layer thick asymmetric laminate plates are measured by a three‐dimensional coordinate measuring machine. The stacking sequence optimization strategy is implemented by introducing a nonlinear control formula.

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Analysis of process-induced deformation on the spring-in of carbon fiber-reinforced polymer thin laminates

Cited by 9 publications

References 22 publications

Tolerance Optimization of Patch Parameters for Locally Reinforced Composite Structures

Tolerance Optimization of Patch Parameters for Locally Reinforced Composite Structures

Two numerical tools for geometrical deviation management in composite assemblies: a comparison

A stacking sequence optimization strategy for process‐induced deformation of multi‐layer thick asymmetric laminates

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