Interface properties of carbon fiber reinforced cyanate/epoxy resin composites at cryogenic temperature
-
Meiling Yan
,
Jun Li
Abstract
This study focuses on the influence of cryogenic temperature on the interface of carbon fiber reinforced plastics (CFRPs). Results of interfacial shear strength (IFSS) and mode II interlaminar fracture toughness (GIIC) at −196°C increased by 15.3% and 27.6% compared to the condition at room temperature (RT). By measuring the IFSS at −196°C, a new experimental method was designed based on microbond test. The layer shear fracture morphologies of CFRP were observed by atomic force microscopy and scanning electron microscopy, respectively. In order to study the interlaminar fracture mechanism, the interface and resin fracture hybrid model was built, and the shear-lag theory of interfacial toughness was adopted to analyze the energy release rate (Gdc) of microbond. The results showed that the Gdc value was increased by 11.5% from RT to −196°C temperature. A higher GIIC of CFRP was dominated by the higher IFSS and resin energy absorption at −196°C.
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: U1837203
Award Identifier / Grant number: 51872065
Funding source: National Key Research and Development Program of China
Award Identifier / Grant number: 2018YFA0702802
Funding source: Research and Development Project of Harbin
Award Identifier / Grant number: 2014RFQXJ028
Funding statement: This work was supported by the National Natural Science Foundation of China (funder id: http://dx.doi.org/10.13039/501100001809, grant nos. U1837203 and 51872065), the National Key Research and Development Program of China (grant no. 2018YFA0702802), the Research and Development Project of Harbin (grant no. 2014RFQXJ028), the Fundamental Research Funds for the Central Universities, and the National Key Laboratory of Science and Technology on Advanced Composite in Special Environments (KL. PYJH. 2017. 003). The work was also supported by the Shenzhen Science and Technology Program.
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©2020 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Material properties
- Interface properties of carbon fiber reinforced cyanate/epoxy resin composites at cryogenic temperature
- A new method to calculate the surface haze
- Structure and properties of particles/rubber composites applied on functionally graded lapping and polishing plate
- Adhesive properties of bio-based epoxy resin reinforced by cellulose nanocrystal additives
- Preparation and assembly
- Encapsulation of anion-cation organo-montmorillonite in terpolymer microsphere: structure, morphology, and properties
- Preparation and characterization of chitosan grafted poly(lactic acid) films for biomedical composites
- Preparation and characterization of polyvinylpyrrolidone/cobalt ferrite functionalized chitosan graphene oxide (CoFe2O4@CS@GO-PVP) nanocomposite
- Clay/(PEG-CMC) biocomposites as a novel delivery system for ibuprofen
- Engineering and processing
- Multi-objective optimization of injection-molded plastic parts using entropy weight, random forest, and genetic algorithm methods
Artikel in diesem Heft
- Frontmatter
- Material properties
- Interface properties of carbon fiber reinforced cyanate/epoxy resin composites at cryogenic temperature
- A new method to calculate the surface haze
- Structure and properties of particles/rubber composites applied on functionally graded lapping and polishing plate
- Adhesive properties of bio-based epoxy resin reinforced by cellulose nanocrystal additives
- Preparation and assembly
- Encapsulation of anion-cation organo-montmorillonite in terpolymer microsphere: structure, morphology, and properties
- Preparation and characterization of chitosan grafted poly(lactic acid) films for biomedical composites
- Preparation and characterization of polyvinylpyrrolidone/cobalt ferrite functionalized chitosan graphene oxide (CoFe2O4@CS@GO-PVP) nanocomposite
- Clay/(PEG-CMC) biocomposites as a novel delivery system for ibuprofen
- Engineering and processing
- Multi-objective optimization of injection-molded plastic parts using entropy weight, random forest, and genetic algorithm methods
