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Influence of thickness ratio and integrated weft yarn column numbers in shape memory alloys on the deformation behavior of adaptive fiber-reinforced plastics
- Source :
- Composite Structures. 215:493-501
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- The integration of functional material, such as actuator material, is an essential aspect for the multi-functionality and resource efficiency of fiber-reinforced plastics (FRPs). By integrating a textile-based actuator into reinforcing fabrics during the production process, single axis and intrinsic adaptive FRPs can be produced, and these can change their form according to requirements. However, this paper presents the effect of thickness ratio and integrated weft yarn column number in shape memory alloys on the deformation behavior of adaptive FRPs. In order to achieve this aim, shape memory alloys were converted into hybrid yarn in the form of a core-sheath structure before being textile-technologically integrated into the reinforcing fabrics using weaving technology. The thickness variation was achieved by the warp as well as weft yarn density and the type of interlacement. These preforms were infused by a thermosetting resin system . The adaptive FRPs were tested electro-mechanically with respect to their maximum deformation. Results reveal that the maximum deformation of adaptive FRPs is enhanced by increasing the thickness ratio and the integrated weft yarn column number in shape memory alloys.
- Subjects :
- Materials science
Textile
business.industry
Thermosetting polymer
02 engineering and technology
Shape-memory alloy
Yarn
Deformation (meteorology)
021001 nanoscience & nanotechnology
020303 mechanical engineering & transports
0203 mechanical engineering
visual_art
Ceramics and Composites
visual_art.visual_art_medium
Fiber
Composite material
0210 nano-technology
Weaving
Actuator
business
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 02638223
- Volume :
- 215
- Database :
- OpenAIRE
- Journal :
- Composite Structures
- Accession number :
- edsair.doi...........972380d19e2adfa99033e8a3ef1cf429