Anisotropy Related “Spring-in” of Angled Composite Shells

Ding, Yan; Chiu, Wing Kong; Liu, X L

doi:10.1177/096739110100900604

Cited by 15 publications

(12 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to predict the spring-in of more complex structures, numerical simulation tools of finite element method or finite difference method are often employed. Ding et al [5] developed a 3-D finite element analysis procedure to predict spring-in resulting from anisotropy for both thin and thick angled composite shells.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis for the Spring-in of Composite Shells

Dong

2011

Advanced Composites Letters

View full text Add to dashboard Cite

Composite materials are a class of engineering materials widely used in a wide range of industries. Spring-in is a common dimensional variation of composite shells. It is well known that spring-in is dependent on many factors e.g. the constituent properties and coefficients of thermal expansion (CTE). A sensitivity analysis on the spring-in is presented in this paper. The sensitivities of the spring-in to the constituent properties and CTE are studied by the Design of Experiments (DOE) and the Response Surface Method (RSM). It is shown that the spring-in is predominantly sensitive to the Poisson's ratio of the matrix and the transverse CTE of the fibres. The results can be used to estimate the uncertainty of the spring-in from the uncertainties of the constituent properties and CTE, which is potentially useful for the design of composite products with improved dimensional control.

show abstract

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis for the Spring-in of Composite Shells

Dong

2011

Advanced Composites Letters

View full text Add to dashboard Cite

show abstract

“…Wang et al [11] conducted a finite element analysis of spring-in using ABAQUS. Ding et al [12] developed a 3-D finite element analysis procedure to predict spring-in resulting from anisotropy for both thin and thick angled composite shell structures. The mechanical behavior of composite materials is better represented by a viscoelastic model.…”

Section: Introductionmentioning

confidence: 99%

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

Dong¹

2009

Composites Part A: Applied Science and Manufacturing

View full text Add to dashboard Cite

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.

show abstract

“…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%

“…Ding et al [21] developed a 3-D finite element analysis procedure to predict "spring-in" resulting from anisotropy for both thin and thick angled composite shell structures. Zhu et al [22] developed a fully 3-D coupled thermo-chemo-viscoelastic finite element model to simulate the heat transfer, curing, and residual stress development during the manufacturing cycle of thermoset composite parts.…”

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

View full text Add to dashboard Cite

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.

show abstract

Anisotropy Related “Spring-in” of Angled Composite Shells

Cited by 15 publications

References 6 publications

Sensitivity Analysis for the Spring-in of Composite Shells

Sensitivity Analysis for the Spring-in of Composite Shells

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

Contact Info

Product

Resources

About