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A Study on the Improvement of Cutting Force and Surface Roughness in MQL Turning  

Hwang Young-Kug (창원대학교 기계설계공학과 대학원)
Chung Won-Jee (창원대학교 기계설계공학과)
Jung Jong-Yun (창원대학교 산업시스템공학과)
Lee Choon-Man (창원대학교 기계설계공학과)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.15, no.4, 2006 , pp. 83-91 More about this Journal
Abstract
At present, industry and researchers are looking for ways to reduce the use of lubricants because of ecological and economical reasons. Therefore, metal cutting is to move toward dry cutting or semi-dry cutting. One of the technologies is known as MQL(Minimum Quantity Lubrication) machining. This research presents an investigation into MQL machining with the objective of deriving the optimum cutting conditions for the turning process of SM4SC. To reach these goals several finish turning experiments were carried out, varying cutting speed, feed rate, oil quantity and so on, with MQL and flood coolant. The surface roughness and cutting force results of tests were measured and the effects of cutting conditions were analyzed by the method of Analysis of Variance(ANOVA). From the experimental results and ANOVA, this research proposed optimal cutting conditions to improve the machinability in MQL turning process.
Keywords
MQL machining; Optimum cutting conditions; Surface roughness; Cutting force; Full factorial design;
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