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MQL 선삭가공에서 절삭력과 표면거칠기 향상에 관한 연구
황영국(Young-Kug Hwang),정원지(Won-Jee Chung),정종윤(Jong-Yun Jung),이춘만(Choon-Man Lee) 한국생산제조학회 2006 한국생산제조학회지 Vol.15 No.4
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 SM45C. 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.
이춘만(Choon-Man Lee),류승표(Sung-PYO Ryu),화영수(Young-Su Kwang),정원지(Jong-Yun Jung),정종윤(Won-Jee Chung),고태조(Tae-Jo ko) 대한기계학회 2003 대한기계학회 춘추학술대회 Vol.2003 No.11
The properties of a machine tool greatly affect machining quality since a machine tool has large variance in its features. Mcchine tool makers want to find best machining condition with the one that they have built, Machine builders need to develop test spercimen since it helps finding characteristies of machine tools when the machining properties of the specimen are analyzed. This paper develops test specimen to identify features of the main spindlem the feeding device and the frane of a machine tool. The specimen is machined with a high speed machine and the features of the machine are analyzed with test items. They are surface roughness overshoot in axial movement, errors in cireular movement. feeding wit amall moemenr, and compensational error. This werk can improve usability for a machine tool in machining practice.