Processing induced residual stress in asymmetric laminate panels

Theriault, Richard P.; Osswald, Tim A.; Castro, José M.

doi:10.1002/pc.10373

Cited by 18 publications

(16 citation statements)

References 8 publications

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“…During this process, the stresses induced by curing can be significantly relaxed [24][25][26]. For some resin systems, such as epoxy, the curing strain during conversion can be neglected in the analysis of residual stress [27].…”

Section: Spring-in Modelmentioning

confidence: 99%

Modeling the process-induced dimensional variations of general curved composite components and assemblies

Dong¹

2009

Composites Part A: Applied Science and Manufacturing

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Dimensional variations are induced during the processing of composite materials. General curved components are commonly used in composite structures. Their performance is affected by the dimensional variations associated with the manufacturing process. This paper presents a piecewise approach for predicting the dimensional variations of general curved composite components and assemblies. For a general curved composite component, it is first divided into a number of pieces of simple geometry. For each piece, the dimensional variation, i.e. spring-in, is calculated using the effective coefficients of thermal expansion. Based on the dimensional variation of each piece, the dimensional variations of the general curved component are calculated sequentially. This approach was validated against the finite element analysis. It shows that it offers excellent accuracy while avoiding time-consuming numerical computations. Besides general curved components, this approach can also be applied to composite assemblies. It provides the foundation for the tolerance analysis/synthesis of composites.

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Section: Spring-in Modelmentioning

confidence: 99%

Modeling the process-induced dimensional variations of general curved composite components and assemblies

Dong¹

2009

Composites Part A: Applied Science and Manufacturing

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“…The dimension variations of composites have been studied experimentally [3][4][5], analytically [6][7][8][9][10][11][12][13] and numerically [14][15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…Theriault et al [14] developed a one-dimensional finite difference model to simulate the progression of material properties during the processing of metal-clad, multi-layered, fiber mat reinforced, thermoset resins. The general Classical Lamination Theory was implemented to evaluate the dimensional movement of the composite laminate.…”

Section: Introductionmentioning

confidence: 99%

Dimension variation prediction for composites with finite element analysis and regression modeling

Dong

Zhang

Liang

et al. 2004

Composites Part A: Applied Science and Manufacturing

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This paper presents an innovative study on the dimension variation prediction and control for polymer matrix fiber reinforced composites. A dimension variation model was developed for process simulation based on thermal stress analysis and finite element analysis (FEA). This model was validated against the experimental data, the analytical solutions and the data from literature. Using the FEA-based dimension variation model, the deformations of typical composite structures were studied and the regression-based dimension variation model was developed. By introducing the material modification coefficient, this comprehensive model can account for various fiber/resin types and stacking sequences. The regression-based dimension variation model can significantly reduce computation time by eliminating the complicated, time-consuming finite element meshing and material parameter defining process, which provides a quick design guide for composite products with reduced dimension variations. The structural tree method (STM) was developed to compute the assembly deformation from the deformations of individual components, as well as the deformation of general shape composite components.The STM enables rapid dimension variation analysis/synthesis for complex composite assemblies with the regression-based dimension variation model. The exploring work presented in this research provides a foundation to develop practical and proactive dimension control techniques for composite products.

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“…The dimensional variations of composites have been studied experimentally [1][2][3], analytically [4][5][6][7][8][9][10][11] and numerically [12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Theriault et al [12] developed a one-dimensional finite difference model to simulate the progression of material properties during the processing of metal-clad, multi-layered, fiber mat reinforced, thermoset resins. The general Classical Lamination Theory was implemented to evaluate the dimensional movement of the composite laminate.…”

Section: Introductionmentioning

confidence: 99%

Assembly dimensional variation modelling and optimization for the resin transfer moulding process

Dong¹,

Zhang²,

Liang³

et al. 2004

Modelling Simul. Mater. Sci. Eng.

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The increasing demand for composite products to be affordable, net-shaped and efficiently assembled makes tight dimensional tolerance is critical. Due to lack of accurate process models, RTM dimensional analysis and control are often performed using trial-and-error approaches based on engineers' experiences or previous production data. Such approaches are limited to specific geometry and materials and often fail to achieve the required dimensional accuracy in the final products. This paper presents an innovative study on the dimensional variation prediction and control for polymer matrix fiber reinforced composites. A dimensional variation model was developed for process simulation based on thermal stress analysis and finite element analysis (FEA). This model was validated against the experimental data, the analytical solutions and the data from literature. Using the FEA-based dimensional variation model, the deformations of typical composite structures were studied and the regression-based dimensional variation model was developed. By introducing the material modification coefficient, this comprehensive model can account for various fiber/resin types and stacking sequences. The regression-based dimensional variation model can significantly reduce computation time by eliminating the complicated, time-consuming finite element meshing and material parameter defining process, which provides a quick design guide for composite products with reduced dimensional variations. The structural tree method (STM) was developed to compute the assembly deformation from the deformations of individual components, as well as the deformation of general shape composite components. The STM enables rapid dimensional variation analysis/synthesis for complex composite assemblies with the regression-based dimensional variation model. The exploring work presented in this research provides a foundation to develop practical and proactive dimensional control techniques for composite products.

show abstract

Processing induced residual stress in asymmetric laminate panels

Cited by 18 publications

References 8 publications

Modeling the process-induced dimensional variations of general curved composite components and assemblies

Modeling the process-induced dimensional variations of general curved composite components and assemblies

Dimension variation prediction for composites with finite element analysis and regression modeling

Assembly dimensional variation modelling and optimization for the resin transfer moulding process

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