Modeling and analysis of TiO2 filler's impact on specific wear rate in flax fiber-reinforced epoxy composite under abrasive wear using Taguchi approach

IF 1.7 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Multidiscipline Modeling in Materials and Structures Pub Date : 2024-04-12 DOI:10.1108/mmms-10-2023-0342
Ravikantha Prabhu, Sharun Mendonca, Pavana Kumara Bellairu, R. D’Souza, Thirumaleshwara S. G. Bhat
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Abstract

PurposeThis study explores how titanium oxide (TiO2) filler influences the specific wear rate (SWR) in flax fiber-reinforced epoxy composites (FFRCs) through a Taguchi approach. It aims to boost abrasive wear resistance by incorporating TiO2 filler, promoting sustainable and eco-friendly materials.Design/methodology/approachThis study fabricates epoxy/flax composites with TiO2 particles (0–8 wt%) using hand layup. Composites were tested for wear following American Society for Testing and Materials (ASTM) G99-05. Statistical analysis used Taguchi design of experiments (DOE), with ANOVA identifying key factors affecting SWR in abrasive sliding conditions.FindingsThe study illuminates how integrating TiO2 filler particles into epoxy/flax composites enhances abrasive wear properties. Statistical analysis of SWR highlights abrasive grit size (grit) as the most influential factor, followed by normal load, wt% of TiO2 and sliding distance. Grit size has the highest effect at 43.78%, and wt% TiO2 filler contributes 15.61% to SWR according to ANOVA. Notably, the Taguchi predictive model closely aligns with experimental results, validating its reliability.Originality/valueThis paper integrates TiO2 filler and flax fibers to form a novel hybrid composite with enhanced tribological properties in epoxy composites. The use of Taguchi DOE and ANOVA offers valuable insights for optimizing control variables, particularly in natural fiber-reinforced composites (NFRCs).
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利用田口方法模拟和分析 TiO2 填料对亚麻纤维增强环氧树脂复合材料在磨料磨损下的比磨损率的影响
目的本研究通过田口方法探讨了氧化钛(TiO2)填料如何影响亚麻纤维增强环氧树脂复合材料(FFRCs)的比磨损率(SWR)。该研究旨在通过加入 TiO2 填料提高耐磨性,促进材料的可持续发展和生态友好型。设计/方法/途径该研究采用手糊法制造了含有 TiO2 颗粒(0-8 wt%)的环氧/亚麻复合材料。按照美国材料与试验协会 (ASTM) G99-05 标准对复合材料进行了磨损测试。统计分析采用田口实验设计 (DOE),方差分析确定了在磨料滑动条件下影响 SWR 的关键因素。对 SWR 的统计分析表明,磨粒尺寸(磨粒)是影响最大的因素,其次是正常载荷、TiO2 的重量百分比和滑动距离。根据方差分析,磨粒尺寸对 SWR 的影响最大,为 43.78%,而重量百分比的 TiO2 填料对 SWR 的影响为 15.61%。值得注意的是,田口预测模型与实验结果密切吻合,验证了其可靠性。 原创性/价值 本文将 TiO2 填料和亚麻纤维整合在一起,形成了一种新型混合复合材料,增强了环氧树脂复合材料的摩擦学性能。田口 DOE 和方差分析为优化控制变量提供了宝贵的见解,尤其是在天然纤维增强复合材料 (NFRC) 中。
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来源期刊
CiteScore
3.70
自引率
5.00%
发文量
60
期刊介绍: Multidiscipline Modeling in Materials and Structures is published by Emerald Group Publishing Limited from 2010
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