Journal
POLYMER ENGINEERING AND SCIENCE
Volume 63, Issue 4, Pages 1314-1322Publisher
WILEY
DOI: 10.1002/pen.26285
Keywords
bentonite; carbon fiber; hybrid composites; poly (phenylene sulfide); tribology; zeolite
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This study aims to expand the usage area of phenylene sulfide (PSS) by reducing its cost without sacrificing material properties. Mechanical, thermo-mechanical, and abrasion tests were conducted on composite materials with added carbon fiber (CF), basalt fiber (BF), zeolite, and bentonite in PPS, and the effects of additive type and ratio were examined. The results showed that zeolite and bentonite improved the properties of fiber-reinforced PPS, and using them could reduce the cost of these composites without sacrificing material properties.
This study was performed to expand the usage area of phenylene sulfide (PSS) by reducing its cost without deteriorating the material properties. For this purpose, mechanical, thermo-mechanical and abrasion tests were conducted to composite materials obtained by adding carbon fiber (CF), basalt fiber (BF), zeolite, and bentonite into PPS, and the effects of additive type and ratio were examined. For the test samples, fabricated by the melt blending, the fiber content was 10 wt.%, while zeolite, and bentonite ratios were 1, 5, and 10 wt.%. According to tensile and abrasion test results, zeolite, and bentonite improved the properties of fiber-reinforced PPS by showing a synergistic effect. It has been demonstrated in this research that the cost of fiber-reinforced PPS matrix composites, which are widely used in advanced engineering applications, can be reduced by using natural minerals zeolite and bentonite without sacrificing material properties. Findings obtained from mechanical and wear tests, revealed that the composition containing 10, 10, and 80 wt.%, zeolite, CF, and PPS, respectively, exhibited optimum material properties. BF for PPS has been shown to be an alternative reinforcement to CF, as it exhibits the lowest wear rate and better interacts with particles in the matrix.
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