Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An anisotropic non-linear material model for glass fibre reinforced plastics
Jönköping University, School of Engineering, JTH, Materials and Manufacturing.ORCID iD: 0000-0003-1412-7988
Jönköping University, School of Engineering.
Jönköping University, School of Engineering, JTH, Materials and Manufacturing.ORCID iD: 0000-0003-0899-8939
Jönköping University, School of Engineering, JTH, Materials and Manufacturing.ORCID iD: 0000-0003-2671-9825
Show others and affiliations
2018 (English)In: Composite structures, ISSN 0263-8223, E-ISSN 1879-1085, Vol. 195, p. 93-98Article in journal (Refereed) Published
Abstract [en]

This paper aims to present a methodology to predict the anisotropic and non-linear behaviour of glass fibre reinforced plastics using finite element methods. A material model is implemented in order to remedy the need of multiple material definitions, and to control the local plastic behaviour as a function of the fibre orientation. Injection moulding simulations traditionally provide second order orientation tensors, which are considered together with a homogenization scheme to compute local material properties. However, in the present study, fourth order tensors are used in combination with traditional methods to provide more accurate material properties. The elastic and plastic response of the material model is optimized to fit experimental test data, until simulations and experiments overlap. The proposed material model can support design engineers in making more informed decisions, allowing them to create smarter products without the need of excessive safety factors, leading to reduced component weight and environmental impact. 

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 195, p. 93-98
Keywords [en]
Calibration, Fibre orientation, GFRP, Local material properties, Anisotropy, Elastomers, Environmental impact, Finite element method, Glass fibers, Injection molding, Product design, Reinforced plastics, Reinforcement, Safety factor, Tensors, Fourth-order tensors, Homogenization scheme, Multiple materials, Nonlinear behaviours, Nonlinear materials, Fiber reinforced plastics
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:hj:diva-39386DOI: 10.1016/j.compstruct.2018.04.044ISI: 000432491400009Scopus ID: 2-s2.0-85045766757OAI: oai:DiVA.org:hj-39386DiVA, id: diva2:1205003
Available from: 2018-05-09 Created: 2018-05-09 Last updated: 2021-09-28Bibliographically approved
In thesis
1. Process-Induced Local Material Variations in Finite Element Simulations of Cast and Fibre Reinforced Injection Moulded Components
Open this publication in new window or tab >>Process-Induced Local Material Variations in Finite Element Simulations of Cast and Fibre Reinforced Injection Moulded Components
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The purpose of this thesis is to provide an overview of the methods used in the appended papers, in order to consider heterogeneous material properties in finite element simulations by using process simulations as input. The work deals with both injection moulded and cast components, and focuses on process-induced local material variations and their effect on component performance.

The influence of heterogeneous properties originating from the casting process as well as some other common simplifications, which are made in finite element analyses, are evaluated for a cast iron component. It is found that commonly neglected properties such as compressive strength, residual stresses, temperature dependency and heterogeneous properties have a non-trivial and potentially large influence on the simulation results.

Lastly, a computational method for fibre reinforced plastics is presented. The methodology enables designers to consider the non-linear anisotropic properties of fibre-reinforced polymers, due to the flow-induced fibre orientation predicted by injection moulding simulations. The method allows material data assignment in each integration-point of the structural mesh. The method is demonstrated to capture the behaviour of the full range of fibre orientations simultaneously with good accuracy.

Abstract [sv]

Syftet med denna avhandling är att översiktligt beskriva de metoder som används i de bifogade artiklarna. Dessa metoder möjliggör beaktandet av heterogena materialegenskaper vid hållfasthetsberäkningar med hjälp av finita element metoden (FEM), genom att först simulera tillverkningsprocessen. Arbetet behandlar både formsprutade och gjutna komponenter, och fokuserar på process-inducerade lokala materialvariationer, samt hur dessa påverkar komponenters prestanda.

En gjutjärnskomponent har studerats med syftet att undersöka inverkan av heterogena materialegenskaper från gjutprocessen, samt några andra vanligt förekommande förenklingar som görs i industriella hållfasthetsanalyser. Genom att försumma materialets kompressionsbeteende, eventuella restspänningar ifrån gjutprocessen, temperaturberoende, samt den heterogena fördelningen av materialegenskaper ifrån tillverkningsprocessen introduceras icke-triviala och potentiellt stora fel i simuleringsresultaten.

Slutligen presenteras en beräkningsmetod för fiberförstärkta formsprutade plaster. Initiala simuleringar av formsprutningsprocessen används för att prediktera den lokala fiberorienteringen, vilken används för att möjliggöra hållfasthetsberäkningar som tar hänsyn till det olinjära och anisotropa materialbeteendet hos formsprutade fiberförstärkta komponenter. Metoden möjliggör att materialdata kan appliceras i varje integrationspunkt i beräkningsnätet, och har utvärderats genom att demonstrera ett korrekt materialbeteende för flera fiberorienteringar samtidigt, med god noggrannhet.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Engineering, 2019. p. 21
Series
JTH Dissertation Series ; 045
National Category
Materials Engineering
Identifiers
urn:nbn:se:hj:diva-54596 (URN)978-91-87289-48-4 (ISBN)
Supervisors
Available from: 2021-09-10 Created: 2021-09-10 Last updated: 2021-09-10Bibliographically approved
2. Multiscale Constitutive Modeling of Heterogeneous Engineering Materials
Open this publication in new window or tab >>Multiscale Constitutive Modeling of Heterogeneous Engineering Materials
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This work deals with different methods used to determine heterogeneous constitutive model parameters for macro-scale finite element models, based on microstructural variations, caused by the manufacturing process. These methods could be applied to decrease modeling errors associated with the material behavior, improving the predictive capabilities of structural analyses in simulation-driven industrial product development. By providing engineers with more sophisticated tools and methods which lets them consider the complex relationships between the manufacturing process, the resulting microstructure and the final properties, manufactured components have the potential to be further optimized with respect to both weight and performance, reducing their cost and environmental impact.

An empirical approach for cast components is presented in Papers I & II, where material testing is used as a basis for constitutive model parameter extraction via optimization. Linear models were created for both thermo-mechanical and thermo-physical material properties, by characterizing specimens extracted from different regions in a lamellar graphite cast iron cylinder head. These models were used to generate heterogeneous constitutive model parameters for the cylinder head, based on the solidification time as predicted by casting process simulations. The influence of several commonly made casting-specific engineering simplifications were investigated, and it was shown that non-trivial errors of a potentially large magnitude are introduced by not considering e.g. the compressive behavior of the material, residual stresses from the casting process, the temperature dependency of the material, or the process-induced heterogeneity.

Paper III describes a statistical homogenization-based method, for modeling of anisotropic fiber reinforced materials. A non-linear anisotropic constitutive model was developed and implemented in commercial finite element codes, which is able to consider heterogeneous fiber orientations using only one material definition. The anisotropic elastic constitutive tensor is determined from fiber-matrix homogenization, and orientation averaging using second- and fourth order fiber orientation tensors provided by injection molding simulations. The plastic constitutive parameters are determined by optimization against experimental tensile tests using specimens with different fiber orientations. The method was demonstrated using a injection molded 50 wt.% short glass fiber reinforced plastic.

A pixel/voxel-based method is presented in Papers IV (2D) & V (3D), for simple and efficient generation of reduced numerical microstructure models using imaging data as input. The input micrograph or image stack is split into subdomains, which are evaluated individually using numerical or semi-analytical homogenization. The constitutive tensor of each subdomain is mapped to a new, reduced numerical model. The purpose of this approach was to support component level analyses, by representing process-induced microstructural imperfections like e.g. porosity on the macro-scale, in a computationally efficient way. The geometrical description of the microstructure can be retrieved from experimental imaging methods like Scanning Electron Microscopy (SEM) or X-ray based Computed Tomography (CT). Alternatively, it can be approximated from phase field or manufacturing process simulations. The method was demonstrated by reducing a 2D aluminium micrograph by 99.89%, with material property errors of less than 0.5% in Paper IV. Also, in paper V by reducing a complex high-resolution 3D aluminum shrinkage porosity by 99.2%, with a material property error of approximately 1%. The method significantly reduces the complexity of building finite element models of complex microstructures, where the pre-processing step is replaced by image segmentation.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Engineering, 2021. p. 45
Series
JTH Dissertation Series ; 065
National Category
Materials Engineering
Identifiers
urn:nbn:se:hj:diva-54771 (URN)978-91-87289-69-9 (ISBN)
Public defence
2021-10-29, E1405 (Gjuterisalen), School of Engineering, Jönköping, 10:00 (English)
Opponent
Supervisors
Available from: 2021-09-28 Created: 2021-09-28 Last updated: 2021-09-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Salomonsson, KentOlofsson, JakobJohansson, Joel

Search in DiVA

By author/editor
Jansson, JohanSalomonsson, KentOlofsson, JakobJohansson, Joel
By organisation
JTH, Materials and ManufacturingSchool of EngineeringJTH, Industrial Product Development, Production and Design
In the same journal
Composite structures
Materials Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 2643 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf