TRIBOLOGICAL PROPERTIES AND STABILIZATION STUDY OF SURFACTANT MODIFIED MOS2 NANOPARTICLE IN 15W40 ENGINE OIL
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): JAMALE SONALI , N.SANDHYARANI , V.SAJITH
Abstract: One of the methods commonly employed for enhancing the lubricity of oil is the addition of solid lubricant nanoparticles, possessing lamella structure, in it. Even though higher concentration of nanoparticles will lead to better reduction in the friction and wear, stability of nanoparticle added oil has to be ensured to prevent the sedimentation of the nanoparticles, especially at higher temperatures. Present work mainly focuses on the stability of MoS2 nanoparticles in engine oil. MoS2 nanoparticles were synthesized by wet chemical synthesis method and were mixed in the engine oil (15W40), with the help of a standard ultrasonic shaker. Sodium dodecyl sulfate was used as surfactant to improve the stability of nanoparticle added oil. Optimum concentration of Sodium dodecyl sulfate in engine oil was determined by bubble pressure method. Stabilization study at different temperatures was done by using DLS. The properties of nanoparticle added oil such as viscosity, pour point, flash and fi
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-03-84
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ARTIFICIAL NEURAL NETWORKS FOR PREDICTING THE TRIBOLOGICAL BEHAVIOUR OF AL7075-SIC METAL MATRIX COMPOSITES
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): G B VEERESH KUMAR , PRAMOD R
Abstract: Wear is a complex phenomenon and the most important reason for the damage and consequent failure of machine parts. The dry sliding wear performance of particulate reinforced aluminum metal matrix composites (Al-MMCs) are being investigated by numerous researchers during the last three decades. A lot of experiments have to be conducted in order to study the wear behavior. Artificial Neural Networks help in reducing the cost of experimentation when implemented with care and enough data. In this work, wear behavior of Al7075 aluminium matrix composites reinforced with particulates has been investigated. The Al7075-SiC metal matrix composites were fabricated through liquid metallurgy process containing 2-6 wt% SiC. The dry sliding wear tests were conducted using computerized pin on disc wear testing machine. The wear properties of the composites containing SiC were better than that of the matrix material and further, the composite containing 6 wt% SiC content exhibited superior wear resist
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-03-85
- Views: 0
- Downloads: 0