Optimizing of Wear Performance on Elevated Temperature of ZrO2 Reinforced AMCs Using Weighted Superposition Attraction Algorithm
NOPR - NISCAIR Online Periodicals Repository
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Title |
Optimizing of Wear Performance on Elevated Temperature of ZrO2 Reinforced AMCs Using Weighted Superposition Attraction Algorithm
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Creator |
Simsek, Dogan
Ozyurek, Dursun Ileri, Erol Akpınar, Sener Karaoglan, Aslan Deniz |
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Subject |
Aluminium matrix composites
Hot Wear Mechanical alloying Zirconia reinforced composite |
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Description |
462-474
In the current study, the zirconium oxide (ZrO2) reinforced Aluminium Matrix Composites (AMCs) was designed as a brake lining and produced by mechanical alloying (MA) method. Wear tests of AMCs were performed according to ASTM G-99 at different sliding distance, operating temperatures and load in the range of 53 to 94 m, 20 to 340℃ and 10 to 30 Nrespectively. Optimum wear performance parameters were determined using the Weighted Superposition Attraction (WSA)algorithm. Firstly, to formulize the problem as an optimization problem through the guidance of the regression modelling, anexperimental design has been constructed, and the wear tests have been done at different reinforced rates, operatingtemperature and loads. Secondly, WSA algorithm has been adapted to tackle the formulated optimization problem.According to the results of WSA algorithm, the optimum rate of zirkonium oxide (ZrO2), load and operating temperaturewas determined as 12%, 206.33°C and 21.20 N respectively while keeping the friction coefficient between 0.15–0.24. |
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Date |
2022-05-05T11:00:36Z
2022-05-05T11:00:36Z 2022-05 |
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Type |
Article
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Identifier |
0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/59679 |
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Language |
en
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Publisher |
NIScPR-CSIR, India
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Source |
JSIR Vol.81(05) [May 2022]
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