An Experimentally Based Micromechanical Framework Exploring Effects of Void Shape on Macromechanical Properties
2022 (English)In: Materials, E-ISSN 1996-1944, Vol. 15, no 12, article id 4361Article in journal (Refereed) Published
Abstract [en]
A micromechanical simulation approach in a Multi-Scale Modeling (MSM) framework with the ability to consider manufacturing defects is proposed. The study includes a case study where the framework is implemented exploring a cross-ply laminate. The proposed framework highlights the importance of correct input regarding micromechanical geometry and void characteristics. A Representative Volume Element (RVE) model is developed utilizing true micromechanical geometry extracted from micrographs. Voids, based on statistical experimental data, are implemented in the RVE model, and the effects on the fiber distribution and effective macromechanical properties are evaluated. The RVE algorithm is robust and maintains a good surrounding fiber distribution around the implemented void. The local void fraction, void size, and void shape affect the effective micromechanical properties, and it is important to consider the phenomena of the effective mechanical properties with regard to the overall void fraction of an RVE and the actual laminate. The proposed framework has a good prediction of the macromechanical properties and shows great potential to be used in an industrial implementation. For an industrial implementation, weak spots and critical areas for a laminate on a macro-level are found through combining local RVEs. © 2022 by the authors.
Place, publisher, year, edition, pages
MDPI , 2022. Vol. 15, no 12, article id 4361
Keywords [en]
CFRP, microstructure, multi-scale modeling, porosity, representative volume elements, Volume measurement, Effect of voids, Element models, Fiber distribution, Industrial implementation, Micro-mechanical, Micromechanical simulation, Multiscale modeling, Property, Void shape, Void fraction
National Category
Composite Science and Engineering
Identifiers
URN: urn:nbn:se:ri:diva-59841DOI: 10.3390/ma15124361Scopus ID: 2-s2.0-85132859954OAI: oai:DiVA.org:ri-59841DiVA, id: diva2:1685479
Note
Funding details: 2016-05195; Funding details: Scania; Funding text 1: Acknowledgments: The authors would like to thank the Centre for ECO2 Vehicle Design, funded by the Swedish Innovation Agency Vinnova (Grant Number 2016-05195), and Scania CV AB for financial support. Toray Group is gratefully acknowledged for supplying the composite material.; Funding text 2: Funding: This research was funded by Innovation Agency Vinnova, Grant Number 2016-05195, and Scania CV AB.
2022-08-032022-08-032024-07-04Bibliographically approved