Design and manufacturing optimization of epoxy-based adhesive specimens for multiaxial tests

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Wentingmann, M.; Manousides, N.; Antoniou, A.; Balzani, C.: Design and manufacturing optimization of epoxy-based adhesive specimens for multiaxial tests. In: Materials and Design 212 (2021), 110213. DOI: https://doi.org/10.1016/j.matdes.2021.110213

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/12484

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Sum total of downloads: 131




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Abstract: 
Specimen design and manufacturing quality are decisive factors in the experimental determination of material properties, because they can only be reliably determined if all undesired influences have been minimized or are precisely known. The manufacture of specimens from highly viscous, two-component and fiber-reinforced structural adhesives presents a challenge from this point of view. Therefore, a design and manufacturing optimization procedure for fiber-reinforced structural adhesives and multiaxial testing was developed. It incorporated a finite element parametric study to minimize stress concentrations in the specimen geometry. Vacuum speed mixing was combined with 3D printed mold inserts to enable the manufacture of homogeneous specimens with negligible porosity. The method was demonstrated by means of a structural adhesive used to manufacture wind turbine rotor blades, while the manufacturing quality was verified with high-resolution X-ray microscopy (μCT scanning), enabling detailed detection of pores and geometrical imperfections. The results of uniaxial and biaxial static tests show maximized strength and stiffness properties, while the scatter was minimized in comparison to that stated in international literature. A comparison of the mechanical properties and associated manufacturing techniques is given. The comparison includes a porosity analysis of a specimen from an industrial dosing machine used for rotor blade manufacture. © 2021 The Author(s)
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 47 35.88%
2 image of flag of United States United States 24 18.32%
3 image of flag of Russian Federation Russian Federation 19 14.50%
4 image of flag of Czech Republic Czech Republic 9 6.87%
5 image of flag of China China 9 6.87%
6 image of flag of Israel Israel 5 3.82%
7 image of flag of Ukraine Ukraine 2 1.53%
8 image of flag of Turkey Turkey 2 1.53%
9 image of flag of India India 2 1.53%
10 image of flag of United Kingdom United Kingdom 2 1.53%
    other countries 10 7.63%

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