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竹叶片和氧化铝增强铝-硅-镁合金混合复合材料中基于硅的耐火化合物的统计建模。

Statistical modeling of Si-based refractory compounds of bamboo leaf and alumina reinforced Al-Si-Mg alloy hybrid composites.

机构信息

Department of Mechanical Engineering, Redeemer's University, P.M.B. 230, Ede, Osun State, Nigeria.

Department of Mechanical Engineering, Landmark University, P.M.B. 1001, Omu - Aran, Kwara State, Nigeria.

出版信息

Sci Rep. 2023 Apr 3;13(1):5416. doi: 10.1038/s41598-023-31364-7.

Abstract

Wear properties of Al-Mg-Si alloy matrix hybrid composites made with Si-based refractory compounds (SBRC) derived from bamboo leaf ash (BLA) as complimentary reinforcement with alumina have been studied. The experimental result indicate that optimum wear loss was obtained at higher sliding speed. The wear rate of the composites increased with an increase in BLA wt. %, with the composites having 4%SBRC from BLA + 6% alumina (B4) showing the least wear loss for the different sliding speeds and wear loads considered. With increasing BLA weight percent, the composites' wear mechanism was mostly abrasive wear. Numerical optimization results using central composite design (CCD) reveal that at a wear load of 587.014N, sliding speed of 310.053 rpm and B4 hybrid filler composition level respectively, minimum responses in wear rate (0.572mm/min), specific wear rate (0.212cm/g.cm) and wear loss (0.120 g) would be obtained for the developed AA6063 based hybrid composite. Perturbation plots indicate that the sliding speed have more impact on wear loss, while wear load have significant impact on the wear rate and specific wear rate.

摘要

采用竹灰衍生的硅基难熔化合物(SBRC)作为补充增强相,与氧化铝一起制备了 Al-Mg-Si 合金基混杂复合材料的磨损性能。实验结果表明,在较高的滑动速度下,获得了最佳的磨损损失。复合材料的磨损率随 BLA 重量百分比的增加而增加,其中含有 4%BLA 衍生 SBRC+6%氧化铝(B4)的复合材料在不同的滑动速度和磨损负载下表现出最小的磨损损失。随着 BLA 重量百分比的增加,复合材料的磨损机制主要是磨料磨损。使用中心复合设计(CCD)的数值优化结果表明,在磨损负载为 587.014N、滑动速度为 310.053rpm 和 B4 混合填充剂组成水平下,开发的 AA6063 基混合复合材料的磨损率(0.572mm/min)、比磨损率(0.212cm/g·cm)和磨损损失(0.120g)的响应值最小。扰动向图表明,滑动速度对磨损损失的影响更大,而磨损负载对磨损率和比磨损率有显著影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf20/10070442/8835cfacef32/41598_2023_31364_Fig1_HTML.jpg

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