Tribology Evaluation on a Four-Ball Tribometer Lubricated by Al2O3/PAG Nanolubricants

IF 1 Q4 ENGINEERING, MECHANICAL
Safril, W.H. Azmi, M. Z. Sharif, N. Zawawi
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引用次数: 0

Abstract

Nanolubricants can improve the tribological properties for application in automotive systems. By reducing the friction rate of the internal components with nanolubricants, the service life of a compressor used in automotive air conditioning (AAC) can be extended. The investigation aims to determine the optimal volume concentration of nanolubricants for achieving the highest performance in tribological properties. Al2O3 nanoparticles dispersed in a polyalkylene glycol (PAG ND12) base at volume concentrations of 0.01%, 0.03%, and 0.05% were investigated to improve the lubrication system in the AAC compressor. The stability investigations were carried out by comparing absorbance conditions using a UV-Vis Spectrophotometer at each volume concentration for 210 days. Koehler's four-ball tribometer was used to measure coefficient of friction (COF) and friction torque at a load of 40.0 kg and a speed of 1200 rpm. The stability study of nanolubricant yielded average absorbance values of 0.752, 0.755, and 0.684, respectively. The average COF values of the nanolubricants of 0.01%, 0.03%, and 0.05% were 0.104, 0.078, and 0.117, while the pure lubricant was 0.095. Further investigation on friction torque resulted in a decrease in the pure lubricant of 0.064%, and for nanolubricant Al2O3/PAG ND12, a decrease of 0.087%, 0.057%, and 0.092%, respectively. The results indicated that a concentration of 0.03% produced the greatest reduction in COF and torque, namely 0.0078% and 0.0578%, correspondingly. Therefore, it is recommended to use Al2O3/PAG ND12 nanolubricant at a volume concentration of 0.03% because it is the most optimal in terms of stability and has the highest COF and frictional torque reduction.
使用 Al2O3/PAG 纳米润滑剂润滑的四球摩擦磨损计的摩擦学评估
纳米润滑剂可以改善汽车系统的摩擦学特性。通过使用纳米润滑剂降低内部组件的摩擦率,可以延长汽车空调(AAC)压缩机的使用寿命。这项研究旨在确定纳米润滑剂的最佳体积浓度,以实现最高的摩擦学性能。为了改善 AAC 压缩机的润滑系统,研究人员对分散在聚亚烷基二醇(PAG ND12)基质中的 Al2O3 纳米粒子进行了研究,其体积浓度分别为 0.01%、0.03% 和 0.05%。通过使用紫外可见分光光度计比较各体积浓度下 210 天的吸光度条件,进行了稳定性研究。在负载为 40.0 kg、转速为 1200 rpm 的条件下,使用 Koehler 四球摩擦仪测量摩擦系数(COF)和摩擦扭矩。纳米润滑剂稳定性研究得出的平均吸光度值分别为 0.752、0.755 和 0.684。0.01%、0.03% 和 0.05% 纳米润滑剂的平均 COF 值分别为 0.104、0.078 和 0.117,而纯润滑剂为 0.095。对摩擦扭矩的进一步研究表明,纯润滑剂的摩擦扭矩降低了 0.064%,而纳米润滑剂 Al2O3/PAG ND12 的摩擦扭矩分别降低了 0.087%、0.057% 和 0.092%。结果表明,浓度为 0.03% 时,COF 和扭矩的降低幅度最大,分别为 0.0078% 和 0.0578%。因此,建议使用体积浓度为 0.03% 的 Al2O3/PAG ND12 纳米润滑剂,因为它的稳定性最佳,COF 和摩擦扭矩的降低幅度也最大。
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来源期刊
CiteScore
2.40
自引率
10.00%
发文量
43
审稿时长
20 weeks
期刊介绍: The IJAME provides the forum for high-quality research communications and addresses all aspects of original experimental information based on theory and their applications. This journal welcomes all contributions from those who wish to report on new developments in automotive and mechanical engineering fields within the following scopes. -Engine/Emission Technology Automobile Body and Safety- Vehicle Dynamics- Automotive Electronics- Alternative Energy- Energy Conversion- Fuels and Lubricants - Combustion and Reacting Flows- New and Renewable Energy Technologies- Automotive Electrical Systems- Automotive Materials- Automotive Transmission- Automotive Pollution and Control- Vehicle Maintenance- Intelligent Vehicle/Transportation Systems- Fuel Cell, Hybrid, Electrical Vehicle and Other Fields of Automotive Engineering- Engineering Management /TQM- Heat and Mass Transfer- Fluid and Thermal Engineering- CAE/FEA/CAD/CFD- Engineering Mechanics- Modeling and Simulation- Metallurgy/ Materials Engineering- Applied Mechanics- Thermodynamics- Agricultural Machinery and Equipment- Mechatronics- Automatic Control- Multidisciplinary design and optimization - Fluid Mechanics and Dynamics- Thermal-Fluids Machinery- Experimental and Computational Mechanics - Measurement and Instrumentation- HVAC- Manufacturing Systems- Materials Processing- Noise and Vibration- Composite and Polymer Materials- Biomechanical Engineering- Fatigue and Fracture Mechanics- Machine Components design- Gas Turbine- Power Plant Engineering- Artificial Intelligent/Neural Network- Robotic Systems- Solar Energy- Powder Metallurgy and Metal Ceramics- Discrete Systems- Non-linear Analysis- Structural Analysis- Tribology- Engineering Materials- Mechanical Systems and Technology- Pneumatic and Hydraulic Systems - Failure Analysis- Any other related topics.
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