This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Short Fiber Filled Injection Molded Workflow with Multiscale Simulation
Technical Paper
2021-01-0351
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
SAE WCX Digital Summit
Language:
English
Abstract
In the automotive industry, injection molded components are often used due to their ability to create complex shapes and increase production volume. In order to strengthen these parts, milled or chopped fibers will often be mixed into the matrix to improve the performance of the polymer. However, the complexity of this material is also increased leading to more influence from processing parameters and material variability. Along with inclusion aspect ratio and volume fraction (VF), an important attribute of this material that affects the part stiffness and strength is fiber orientation due to the injection molding process. In this paper, a workflow is presented to predict the mechanical properties of an injection molded part using only injection molding simulation and constituent material properties to build microstructural finite element models (FEM). In collaboration with AGY, experimental tensile tests of injection molded samples of varying VFs of S-2 Glass® and Carbon fibers are used to validate this multiscale approach. First, the fiber orientation results from the injection molding simulation are used to create microstructures for validating the modulus of each material formulation. Due to the rather consistent fiber orientation in the samples, single scale microstructural tests are performed using the calibrated matrix and fiber properties to predict the non-linear stress-strain curve of the materials. The results of this study demonstrate high levels of accuracy for both the stiffness and non-linear response of short fiber reinforced polymers (SFRP) without the need to calibrate the composite material properties.
Authors
Topic
Citation
Cornwell, H., "Short Fiber Filled Injection Molded Workflow with Multiscale Simulation," SAE Technical Paper 2021-01-0351, 2021, https://doi.org/10.4271/2021-01-0351.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 | ||
Unnamed Dataset 4 | ||
Unnamed Dataset 5 |
Also In
References
- Jones , R.M. Mechanics of Composite Materials 2 London Taylor and Francis 1975
- Jones , R.F. Guide to Short Fiber Reinforced Plastics Munich Hanser Publishers 1998
- Kenyon , A.S. , and Duffey , H.J. Properties of a Particulate-Filled Polymer Polymer Engineering and Science 7 3 189 193 1967
- Budiansky , B. Micromechanics Computers & Structures 16 1-4 3 12 1983
- Chou , T. , and Nomura , S. Fibre Orientation Effects on the Thermoelastic Properties of Short-Fibre Composites Fibre Science and Technology 14 4 279 291 1981
- Tandon , G.P. , and Wing , G.J. The Effect of Aspect Ratio of Inclusions on the Elastic Properties of Unidirectionally Aligned Composites Polymer Composites 5 4 327 333 1984
- Eshelby , J.D. The Determination of the Elastic Field of an Ellipsoidal Inclusion, and Related Problems Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences 241 1226 376 396 1957
- Mori , T. , and Tanaka , K. Average Stress in Matrix and Average Elastic Energy of Materials with Misfitting Inclusions Acta Metallurgica 21 5 571 574 1973
- Tandon , G.P. , and Weng , G.J. Average Stress in the Matrix and Effective Moduli of Randomly Oriented Composites Composites Science and Technology 1986
- Advani , S.G. , and Tucker , C.L. The Use of Tensors to Describe and Predict Fiber Orientation in Short Fiber Composites Journal of Rheology 1987
- Kugler , S.K. , Kech , A. , Cruz , C. , and Osswald , T. Fiber Orientation Predictions - A Review of Existing Models Journal of Composites Science 2020
- Sabiston , T. , Pinter , P. , Lee-Sullivan , P. , and Inal , K. Prediction of Bending in SMC Using a Single Parameter Damage Model that Accounts for Through Thickness Microstructural Properties Composite Structures 2020
- Amiri-Rad , A. , Wismans , M. , Pastukhov , L.V. , Govaert , L. , and van Dommelen , J. Constitutive Modeling of Injection-Molded Short-Fiber Composites: Characterization and Model Application Journal of Applied Polymer Science 2020
- Görthofer , J. , Meyer , N. , Pallicity , T.D. , Schöttl , L. et al. Virtual Process Chain of Sheet Molding Compound: Development, Validation and Perspectives Composites Part B: Engineering 2019
- Görthofer , J. , Schneider , M. , Ospald , F. , Hrymak , A. , and Böhlke , T. Computational Homogenization of Sheet Molding Compound Composites Based on High Fidelity Representative Volume Elements Computational Materials Science 2020
- Kim , Y. , Souza , F. , and Teixeira , J. A Two-Way Coupled Multiscale Model for Predicting Damage-Associated Performance of Asphaltic Roadways Computational Mechanics 51 2 187 201 2012
- Souza , F. , and Allen , D. Multiscale Modeling of Impact on Heterogeneous Viscoelastic Solids Containing Evolving Microcracks International Journal for Numerical Methods in Engineering 2009
- Souza , F. , and Allen , D. Modeling the Transition of Microcracks into Macrocracks in Heterogeneous Viscoelastic Media Using a Two-Way Coupled Multiscale Model International Journal of Solids and Structures 48 22-23 3160 3175 2011
- Malgioglio , F. , Mesquita , F. , Breite , C. , Matveeva , A. , Farkas , L. , Desmet , W. , Lomov , S.V. , and Swolfs , Y. Prediction of Tensile Stiffness and Failure of Carbon Fibre Composite Laminae: A Multi-scale Non-deterministic Approach European Conference on Composite Materials 2018
- Homrighausen , C. , Damron , S. , and Palmer , M. ® 2017
- 2014