纳米碳管与 POE 油混合后的优化和摩擦学行为

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY
K Veera Raghavulu, V Mahidhar Reddy, N Govindha Rasu, S P Jani, U Sudhakar, S S Godara, Ashish Kumar, Alok Bhadauria, Kirtanjot Kaur and V Revathi
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引用次数: 0

摘要

在过去的二十年里,纳米添加剂润滑剂作为润滑剂已成为生产中必不可少的材料。我们的研究考察了三个工艺参数--碳纳米管(CNT)(体积浓度,%)、滑动速度(m/s)和外加载荷(N)--对掺有碳纳米管的聚胆固醇油摩擦学性能的影响。通过采用稳健的田口 L9 正交阵列作为实验设计,本研究试图找出这三个因素参数的最佳组合,以实现最小的摩擦系数(COF),同时本研究还进行了方差分析和多元线性回归,以确定决定最小 COF 的重要因素。本研究使用了 POE 油和不同浓度的 CNT(如 0.05、0.075 和 0.1 体积浓度%)。本研究使用 TEM、SEM 和 XRD 方法对碳纳米管进行了表征,并通过 Zeta 电位值验证了其稳定性,即 0.075 体积浓度%的碳纳米管达到了 35 mV 的 Zeta 电位值。Taguchi L9 正交阵列结果表明,在 50 N 负荷下,滑动速度为 3.6 m s-1 时,0.075 体积浓度% 的 CNT 的 COF 值最小,为 0.0359。方差分析结果证实,CNT 浓度对 COF 结果的影响最大(91%)。等高线图证实,当使用体积浓度为 0.075% 的 CNT 时,负载范围为 75 N 至 125 N,滑动速度为 1.2 m s-1 至 3.0 m s-1 之间,可实现最佳 COF。研究结果表明,在 POE 油中添加 CNT 后,纳米润滑剂可降低摩擦系数 (COF),最终提高摩擦学性能,从而实现卓越的性能。未来的研究人员可重点采用塔古灰色关系分析、人工智能和机器学习模型,为其他润滑剂和纳米添加剂找到最佳工艺参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization and tribological behavior of carbon nano tubes blended with POE oil
Over the past two decades, nano additive lubricants have become essential in manufacturing as lubricating agents. Our study examines the impact of three process parameters—carbon nanotube (CNT) (volume concentration,%), sliding velocity (m/s), and applied load (N)—on the tribological performance of polyolester oil blended with carbon nanotubes. By employing the robust Taguchi L9 orthogonal array as the design of experiment, the current study made an attempt to identify the best combination of these three factors parameters to achieve the least coefficient of friction (COF) while the study also conducted ANOVA and multivariate linear regression to determine the significant factor that determines the least COF. For this study, POE oil and varying concentrations of CNTs (such as 0.05, 0.075 and 0.1 volume concentration%) were used. For this study, the characterization of the CNTs was performed using TEM, SEM and XRD methods while its stability was validated through Zeta potential value i.e., 0.075 volume concentration% CNT concentration achieved 35 mV zeta potential value. The Taguchi L9 orthogonal array outcomes found the least COF i.e., 0.0359 was achieved from 0.075 volume concentration % of CNT with a sliding speed of 3.6 m s−1 at 50 N load. The ANOVA outcomes confirmed the major contribution (91%) of the CNT concentration towards influencing the COF outcomes. The contour plots confirmed that optimal COF can be achieved when using 0.075 volume concentration% CNT with load ranged from 75 N to 125 N and sliding velocities between 1.2 m s−1 and 3.0 m s−1. The outcomes establish that when POE oil is supplemented with CNTs, it can achieve superior performance as the nanolubricant mitigates the coefficient of friction (COF), eventually enhancing the tribological performance. Future researchers can focus on employing Taguch-grey relational analysis, artificial intelligence and machine learning models to find the optimal process parameters for other lubricants and nanoadditives.
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来源期刊
Engineering Research Express
Engineering Research Express Engineering-Engineering (all)
CiteScore
2.20
自引率
5.90%
发文量
192
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