期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：2
页码：1401
DOI：10.15680/IJIRSET.2017.0602001
出版社：S&S Publications
摘要：The development of recycled, renewable and sustainable products to replace fossil products is a vitalconcern from industrial, environmental and academic viewpoints. Lubricants are one of the synthetic products widelyused in numerous fields of the manufacturing and industrial sectors. Furthermore in 2005, more than 38 million metrictons of oils were used in the lubrication techniques of various industrial applications in the United States (US). In otherwords, the need for alternative friendly lubricants needs to increase by about 36 billion gallons to meet expecteddemands in 2022. This need motivates the current investigation of the potential use of waste cooking oil as a lubricantfor tribological applications. A review of the available literature reviewed no work related to this topic. However, manyworks have been conducted on vegetable oils and their potential as lubricant. The current study establishes the basis forthe research in the area of waste cooking oil as a lubricant; focusing on the oil and its blend characteristics andapplications in journal bearings.At the first stage of this study, comprehensive experiments were conducted on the wear and the frictional behaviour ofbrass, aluminium and mild steel metals sliding against a stainless steel counterface under dry contact condition forcomparison purposes with the lubricant results. Furthermore, predicting the tribological performance of materials is avery complex task and many attempts to model the wear and frictional behaviour of materials have failed. In this study,the artificial neural networks approach is used as a tool to predict wear, roughness, interface temperature and thefrictional behaviour of metals under different operating parameters.
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