The effect of thermal pretreatment temperature on the diameters and mechanical properties of asphaltene-derived carbon fibers

By 3D printing it is possible to create different structures with different fiber-laying directions. These structures can be created depending on the type of 3D printer and its software. The Mark Two printer allows printing Onyx, a material based on nylon in combination with microcarbon fibers. Onyx can be used alone or reinforced with kevlar, glass or carbon fibers. This article deals with 3D printing and evaluation of mechanical properties of printed samples.

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Investigation of the Effect of the Length and Content of Carbon Fibers on the Properties of Polyphenylene Sulfide

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.869.474 ◽

2020 ◽

Vol 869 ◽

pp. 474-480

Author(s):

Azamat L. Slonov ◽

Ismel V. Musov ◽

Elena V. Rzhevskaya ◽

Azamat Zhansitov ◽

Svetlana Yu. Khashirova

Keyword(s):

Mechanical Properties ◽

Impact Strength ◽

Heat Resistance ◽

Carbon Fibers ◽

Filler Content ◽

Sharp Decrease ◽

Polyphenylene Sulfide ◽

Average Particle ◽

Melt Flow Rate ◽

Particle Length

The article presents the results of a study of the effect of milled and chopped carbon fibers, with an average particle length of 0.2 and , respectively, on the mechanical properties of polyphenylene sulfide and its heat resistance. It was found that the introduction of carbon fibers leads to a significant decrease in the melt flow rate. It was shown that after a sharp decrease in impact strength at 10 % content of carbon fibers, its inverse improvement occurs with an increase in the filler content. Composites containing carbon fibers with length demonstrate higher impact strength. The introduction of a filler leads to a significant increase in the elastic modulus and strength of polyphenylene sulfide and its heat resistance.

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Prediction of temperature-frequency-dependent mechanical properties of composites based on thermoplastic liquid resin reinforced with carbon fibers using artificial neural networks

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-019-04486-4 ◽

2019 ◽

Vol 105 (5-6) ◽

pp. 2543-2556 ◽

Cited By ~ 5

Author(s):

Lorena Cristina Miranda Barbosa ◽

Guilherme Gomes ◽

Antonio Carlos Ancelotti Junior

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Artificial Neural Networks ◽

Carbon Fibers ◽

Frequency Dependent ◽

Liquid Resin ◽

Artificial Neural ◽

Properties Of Composites

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Wear Mechanism of Unidirectionally Oriented Fiber-Reinforced Plastics

Journal of Lubrication Technology ◽

10.1115/1.3453233 ◽

1977 ◽

Vol 99 (4) ◽

pp. 401-407 ◽

Cited By ~ 24

Author(s):

T. Tsukizoe ◽

N. Ohmae

Keyword(s):

Mechanical Properties ◽

Carbon Fibers ◽

Wear Behavior ◽

High Modulus ◽

Fiber Reinforced ◽

Reinforced Plastics ◽

Sliding Direction ◽

Oriented Fiber ◽

Fiber Reinforcements ◽

Fiber Reinforced Plastics

Wear between unidirectionally oriented fiber-reinforced-plastics and mild steel has been investigated. The wear behavior was found to be greatly influenced by the sliding direction, the mechanical properties of fiber-reinforced-plastics and by the tribological properties of fiber-reinforcements or matrices. A summarization of wear-resistance of seven different kinds of fiber-reinforced-plastics signified that the epoxy resin reinforced with high-modulus carbon fibers was the best wear-resistant fiber-reinforced-plastics.

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