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A Review on MQL in Reaming

Roshani U Shingarwade1 and Pankaj S Chavan2
1.Mechanical Department, Datta Meghe Institute of Technology & Research, Sawangi Meghe, Wardha, India
2.Mechanical Engineering Department, Deogiri Institute of Engg & Management Studies, Aurangabad, India

Abstract—Modern era of mass production of holes with good surface finish and geometrical accuracy (cylindricity, roundness) is the basic requirement for precise assembly of different machined components. Even in today's industrial era, most of the machining operations are performed using flood lubrication but flood lubrication contributes to adverse health effect and safety issues, including toxicity, lung diseases to operator and air pollution, etc. Because of this mentioned issues the use of cutting fluid needs to be minimized and hence the Minimal Quantity Lubrication (MQL) technology was introduced. MQL is the process to apply minute amount of lubrication to the tool tip during machining. The lubricant is mixed with compressed air and forms aerosol mixture called as MQL. Conventional cutting fluids (flood lubrication) eliminate such problems as higher cutting temperature, tool wear and greater dimensional deviation. But, they possess a significant portion of the total machining cost. Thus machining under Minimum Quantity Lubrication (MQL) condition has drawn the attention of researchers as an alternative to the traditionally used flood lubrication with a view to minimizing the cooling and lubricating cost as well as reducing cutting zone temperature, tool wear, surface roughness and dimensional deviation. It was observed that the use of MQL technology resulted in decrease of overall cost by about 13% and it is possible to achieve effective lubrication of cutting process with extremely small quantity of oil. The result is not only high productivity but also longer tool life and cost saving.

Index Terms—Reaming, Minimum Quantity Lubrication (MQL)

Cite: Roshani U Shingarwade and Pankaj S Chavan, "A Review on MQL in Reaming," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 3, pp. 392-298, July 2014.