碳纳米管-粉煤灰增强铝基纳米复合材料滑动磨损特性的田口分析

Taguchi analysis for sliding wear characteristics of carbon nanotube-flyash reinforced aluminium nanocomposites.

作者信息

Devadiga Udaya, Fernandes Peter

机构信息

Department of Mechanical Engineering NMAMIT, Nitte, India.

Alva's Institute of Engineering & Technology, Moodbidri, India.

出版信息

Heliyon. 2021 Feb 6;7(2):e06170. doi: 10.1016/j.heliyon.2021.e06170. eCollection 2021 Feb.

DOI:10.1016/j.heliyon.2021.e06170

PMID:33644462

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7887386/

Abstract

Dry sliding wear characteristics of aluminium nano-composites reinforced with different wt. % of multiwall carbon nanotubes (0.25, 0.5, 0.75 wt. %) and fly ash (4, 8, 16 wt. %) produced by powder metallurgy were investigated. ANOVA and Taguchi methods of design of experiment technique were successfully used to determine the predominant factors and optimisation of the testing parameters on wear. MWCNT (wt. %) and FA (wt. %) was found to be the predominant parameter affecting wear loss with percentage contribution of 43.71% and 30.78%. The results of Taguchi indicate the optimized values of wear parameters were 0.25wt. % MWCNT, 8 wt. % FA, 2 h ball milling, 6 h sintering, 10 N applied load, 200 rpm sliding speed and 500 m sliding distance. The microstructure of composites exhibited well dispersion of the reinforcements in the aluminium matrix. The study of worn surfaces revealed minor grooves and delamination wear due to abrasive and adhesive wear mechanisms.

摘要

研究了通过粉末冶金制备的、用不同重量百分比（0.25%、0.5%、0.75%）的多壁碳纳米管和（4%、8%、16%）的粉煤灰增强的铝基纳米复合材料的干滑动磨损特性。成功地使用方差分析和实验设计技术中的田口方法来确定主要因素，并优化磨损测试参数。发现多壁碳纳米管（重量百分比）和粉煤灰（重量百分比）是影响磨损损失的主要参数，贡献率分别为43.71%和30.78%。田口方法的结果表明，磨损参数的优化值为0.25%重量百分比的多壁碳纳米管、8%重量百分比的粉煤灰、2小时球磨、6小时烧结、10牛的施加负载、200转/分钟的滑动速度和500米的滑动距离。复合材料的微观结构显示增强体在铝基体中分散良好。对磨损表面的研究揭示了由于磨料磨损和粘着磨损机制导致的微小沟槽和分层磨损。