Optimization of dry sliding wear performance of TiO2 filled bamboo and flax fiber reinforced epoxy composites using Taguchi approach

IF 1.4 Q2 ENGINEERING, MULTIDISCIPLINARY
Ravikantha Prabhu, Sharun Mendonca, Pavana Kumara Bellairu, R. D’Souza, Thirumaleshwara S. G. Bhat
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Abstract

Purpose This paper aims to report the effect of titanium oxide (TiO2) particles on the specific wear rate (SWR) of alkaline treated bamboo and flax fiber-reinforced composites (FRCs) under dry sliding condition by using a robust statistical method. Design/methodology/approach In this research, the epoxy/bamboo and epoxy/flax composites filled with 0–8 Wt.% TiO2 particles have been fabricated using simple hand layup techniques, and wear testing of the composite was done in accordance with the ASTM G99-05 standard. The Taguchi design of experiments (DOE) was used to conduct a statistical analysis of experimental wear results. An analysis of variance (ANOVA) was conducted to identify significant control factors affecting SWR under dry sliding conditions. Taguchi prediction model is also developed to verify the correlation between the test parameters and performance output. Findings The research study reveals that TiO2 filler particles in the epoxy/bamboo and epoxy/flax composite will improve the tribological properties of the developed composites. Statistical analysis of SWR concludes that normal load is the most influencing factor, followed by sliding distance, Wt.% TiO2 filler and sliding velocity. ANOVA concludes that normal load has the maximum effect of 31.92% and 35.77% and Wt.% of TiO2 filler has the effect of 17.33% and 16.98%, respectively, on the SWR of bamboo and flax FRCs. A fairly good agreement between the Taguchi predictive model and experimental results is obtained. Originality/value This research paper attempts to include both TiO2 filler and bamboo/flax fibers to develop a novel hybrid composite material. TiO2 micro and nanoparticles are promising filler materials, it helps to enhance the mechanical and tribological properties of the epoxy composites. Taguchi DOE and ANOVA used for statistical analysis serve as guidelines for academicians and practitioners on how to best optimize the control variable with particular reference to natural FRCs.
田口法优化TiO2填充竹麻纤维增强环氧树脂复合材料的干滑动磨损性能
目的采用稳健统计方法研究氧化钛(TiO2)颗粒在干滑动条件下对碱性处理竹麻纤维增强复合材料(FRCs)比磨损率(SWR)的影响。设计/方法/方法在本研究中,环氧树脂/竹和环氧树脂/亚麻复合材料填充0–8 使用简单的手工叠层技术制造了Wt.%TiO2颗粒,并根据ASTM G99-05标准对复合材料进行了磨损测试。田口实验设计(DOE)用于对实验磨损结果进行统计分析。进行方差分析(ANOVA)以确定在干滑动条件下影响SWR的显著控制因素。田口预测模型也被开发来验证测试参数和性能输出之间的相关性。研究表明,在环氧树脂/竹和环氧树脂/亚麻复合材料中加入TiO2填料颗粒,将改善所开发的复合材料的摩擦学性能。SWR的统计分析表明,法向载荷是影响SWR的最大因素,其次是滑动距离、TiO2填料的Wt.%和滑动速度。方差分析结果表明,正常负载对竹纤维和亚麻纤维的SWR的影响最大,分别为31.92%和35.77%,TiO2填料的Wt.%对其SWR的作用分别为17.33%和16.98%。田口预测模型与实验结果吻合较好。原创性/价值本文试图将TiO2填料和竹/亚麻纤维结合起来,开发一种新型的杂化复合材料。TiO2微米和纳米颗粒是一种很有前途的填充材料,它有助于提高环氧复合材料的力学性能和摩擦学性能。用于统计分析的田口DOE和ANOVA为学者和从业者提供了指导,指导他们如何最好地优化控制变量,特别是参考天然FRCs。
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来源期刊
World Journal of Engineering
World Journal of Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
4.20
自引率
10.50%
发文量
78
期刊介绍: The main focus of the World Journal of Engineering (WJE) is on, but not limited to; Civil Engineering, Material and Mechanical Engineering, Electrical and Electronic Engineering, Geotechnical and Mining Engineering, Nanoengineering and Nanoscience The journal bridges the gap between materials science and materials engineering, and between nano-engineering and nano-science. A distinguished editorial board assists the Editor-in-Chief, Professor Sun. All papers undergo a double-blind peer review process. For a full list of the journal''s esteemed review board, please see below.
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