2014
DOI: 10.21533/pen.v2i1.35
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Optimization of Wear Parameters of Polyamide-6 Composite Materials Filled with Wollastonite Particles

Abstract: Weight loss and friction coefficient prediction models for polyamide-6 (PA-6) composites filler with 0,5 and 10 wt.% wollastonite (W) particles was developed using Taguchi method by considering the parameters of sliding speed, applied load and filler ratio. The wear behavior of the specimen was investigated using pin-on-disc arrangement where the samples sliding against a AISI 4140 steel disk under different conditions. The wear tests were realized at the sliding speeds of 1.0, 1.5 and 2.0 ms-1 and under the l… Show more

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Cited by 5 publications
(4 citation statements)
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“…Significant material loss results from the separation of the material from the binder substance. As illustrated in Figures 14,15,and 16, where the agglomeration rises with the load for all the samples that were studied, some samples developed clumps and agglomerations as a result of the repetitive sliding movements of the sample on the abrasive surface. Figure 16.…”
Section: Resultsmentioning
confidence: 95%
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“…Significant material loss results from the separation of the material from the binder substance. As illustrated in Figures 14,15,and 16, where the agglomeration rises with the load for all the samples that were studied, some samples developed clumps and agglomerations as a result of the repetitive sliding movements of the sample on the abrasive surface. Figure 16.…”
Section: Resultsmentioning
confidence: 95%
“…The seventh sample's high filling density is the reason why bumps started to appear on its surface. Figures 14,15,and 16 show that adhesion and abrasion are the main wear mechanisms for plastic materials. The infill material wear tracks from the ABS material show that wear is cautilized through the transfer of a very thin layer of material at the point where two sliding surfaces come into touch with one another.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…This can be highest or lowest possible for a given problem. Optimization methods generally involve in generating and selecting a best solution from a set of available options [16], by systematically choosing input values from a domain and computing the output of the function and recording the best output values found during the process [17]. Some optimization methods being Genetic algorithm, Memetic algorithm, Dynamic relaxations, Gravitational search algorithm, Reactive Search Algorithm (RSO) etc.…”
Section: Optimizationmentioning
confidence: 99%