在MATLAB环境下用多项式模型模拟环氧增强复合材料的吸水率

D. A. Ekpechi, O. Obiukwu, B. Okonkwo, C. C. Chiabuotu, K. C. Chukwuemeka, U. Opara
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引用次数: 0

摘要

利用MATLAB软件对椰壳纤维(CSF)、氧化铝(Al2O3)和碳化硅(SiC)增强环氧树脂复合材料的吸水率进行了研究。采用不同纤维配比的压缩成型方法制备了5个试样(E、S1、S2、S3和S4)。吸水试验采用合适的美国材料试验协会(ASTM)进行,涉及不同的水溶液。观察到样品“E”表现出最大的吸水率,可能是由于没有增强纤维。试样S1表明吸水率较低,可能是由于天然填料的存在。样品S4的吸水率最低,可能是由于天然合成纤维的含量较高。利用MATLAB软件对2020商用许可模型的实验结果进行验证,并利用均方根误差(RMSE)统计参数和截点图与实验结果进行比较。通过MATLAB软件开发的预测数据,在RMSE上建立了95%的置信区间,实验结果与仿真结果的标准差范围为0.012,避免了拟合不足和过拟合的问题,并且在使用点截距图进行比较时,与实验结果的趋势一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of Water Absorption of Epoxy Reinforced Composite Using Polynomial Model on MATLAB Environment
Application of MATLAB software for water absorption test, which entails the rate by which a material diffuses and retain water molecule, on epoxy reinforced with coconut shell fiber (CSF), aluminum oxide (Al2O3), and silicon carbide (SiC) composites have been investigated. Five specimens (E, S1, S2, S3 and S4) were developed using compression molding on different percentage of fibers. The water absorption test was conducted using suitable American Society for Testing and Material (ASTM) which involves different water solutions. It was observed that sample ‘E’ shows maximum water absorption maybe due to absence of reinforced fibers. Specimen S1 indicated less water absorption, maybe due to presence of natural filler. Sample S4 shows trend on least water absorption, maybe due presence of higher percentage of natural synthetic fibers. Validation of the experiments using 2020 Commercial License Model MATLAB software, which were compared with the experimental result using the root mean square error (RMSE) statistical parameter and graph of point of intercept. The predicted data developed through the MATLAB software, established 95% confidence bounds on RMSE, which indicated 0.012 range of standard deviation between the experimental and simulation results, which avoids the under fitting and over fitting problem, also, when compared using a graph of point intercept, followed the same trend of result from the experiment.
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