DEFECT DETECTION ON CARBON FIBRE REINFORCED PLASTICS (CFRP) WITH LASER GENERATED LAMB WAVES

2011 ◽  
Author(s):  
O. Focke ◽  
P. Huke ◽  
A. Hildebrandt ◽  
Donald O. Thompson ◽  
Dale E. Chimenti
Keyword(s):  
Carbon Fibre ◽  
Defect Detection ◽  
Lamb Waves ◽  
Reinforced Plastics ◽  
Carbon Fibre Reinforced Plastics

Applications of Variable-Axial Fibre Designs in Lightweight Fibre Reinforced Polymers

2015 ◽  
Vol 825-826 ◽  
pp. 757-762 ◽  
Author(s):  
Emanuel Richter ◽  
Axel Spickenheuer ◽  
Lars Bittrich ◽  
Kai Uhlig ◽  
Gert Heinrich
Keyword(s):  
Carbon Fibre ◽  
Design Strategies ◽  
Special Design ◽  
Reinforced Polymers ◽  
Reinforced Plastics ◽  
Strength And Stiffness ◽  
Carbon Fibre Reinforced Plastics

A load dependent and curvilinear respectively variable-axial fibre design can notably enhance the strength and stiffness of lightweight components compared to fibre reinforced structures made of common multiaxial fibre textiles. At the Leibniz-Institut für Polymerforschung Dresden e. V. (IPF) special design strategies are in the focus of current studies. Two currently developed components made of carbon fibre reinforced plastics, a lightweight three-legged stool and a lightweight recurve bow riser, are described within this paper.

scholarly journals Effect of Depth Surface Defects in Carbon Fibre Reinforced Composite Material on the Selected Recurrence Quantifications

2020 ◽  
Vol 20 (2) ◽  
pp. 71-80 ◽  
Author(s):  
K. Ciecieląg ◽  
K. Kęcik ◽  
K. Zaleski
Keyword(s):  
Carbon Fibre ◽  
Milling Time ◽  
Surface Defects ◽  
Recurrence Plot ◽  
Reinforced Plastics ◽  
Reinforced Composite ◽  
Quantification Analysis ◽  
Carbon Fibre Reinforced Plastics ◽  
Selection Of ◽  
Reinforced Composite Material

AbstractThe paper discusses the problem of possibility of the detecting surface defects in carbon fibre reinforced plastics (CFRP) materials on the basis of the milling time series. First, the special defects in the hole-shaped with various depth were made. Next, the cutting forces are measured during the milling machining. Finally, the recurrence plot and quantification analysis was applied. The obtained results show that the depth defect influences the selected recurrence quantifications, which can be used as the simple defect indicators. The conducted research allow to determine the percentage share of the detectable defects. The novelty of the work and an unresolved problem is the selection of recurrence quantifications with the simultaneous use of them to detect the size of defects in carbon fibre reinforced plastics.

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