[논문]MQL 알루미늄 선삭가공의 표면거칠기

후상우; 정종윤

MQL 알루미늄 선삭가공의 표면거칠기
Surface Roughness of Turned Aluminum in MQL 원문보기

산업경영시스템학회지 = Journal of society of korea industrial and systems engineering, v.34 no.1, 2011년, pp.52 - 59

후상우 (창원대학교 산업시스템공학과) , 정종윤 (창원대학교 산업시스템공학과)

초록
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가계가공은 절삭 부위의 냉각작용과 윤활작용을 위해 절삭유를 많이 소모한다. 절삭유는 염소계의 극압첨가제 등이 함유되어 있어 작업자들에게 유독할 뿐만 아니라 대기의 오염을 초래하여 청정생산을 저해하게 되므로 이런 전통적인 방법은 작업자의 직업병으로부터 보호와 환경보호를 위하여 새로운 가공방법으로 변경되어야만 한다. MQL 기계가공 방법은 절삭유를 아주 소량 소모하므로 청정생산을 위한 대안으로 떠오르고 있지만 많은 작업자들이 이에 대한 기술적인 확신이 부족하여 이 방식의 사용을 주저하고 있다. 본 연구는 MQL 가공 방식에서 가공의 특성을 파악하여 표면거칠기에 영향을 미치는 인자와 범위를 찾고자 다양한 실험을 계획하고 그 결과를 분석하였다. 실험의 계획에서는 각 가공의 특성을 잘 나타낼 수 있는 인자와 수준을 선정하고, 다양한 상황의 결과를 분석하여 MQL 가공의 특성과 최적의 가공조건을 도출하였다. 본 연구의 실험 및 분석의 결과로서, 절삭 파라미터와 그의 수준이 가공특성을 잘 반영할 수 있도록 적절히 선택된다면 MQL 기계가공은 표면거칠기 향상 및 원가절감이나 환경보호 측면에서 절삭유 윤활방식을 대체하는 green manufacturing을 위한 대안이 될 수 있음을 보였다.

주제어

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문제 정의

But the result of the investigation shows that its surface roughness is the worst. From this study, this paper insists that MQL machining is a good alternative to replace conventional lubrication if the machining parameters are properly selected. The next experiment is planned to investigate any effects of major machining parameters on surface roughness under MQL machining conditions.
CNC lathe. The objective is to find machining characteristics and optimal machining parameters producing low surface roughness in MQL machining.
The purpose of this research is to find optim이 machining conditions for MQL turning. Thus, this experiment should select controllable experimental factors that affect surface roughness on the turned area.
This experiment plans to find any effects of the amount of MQL on the machined surface. The experiment compares the roughness data produced from MQL turning with data from non-MQL turning.
This research plans to find any effects on surface roughness caused by amount of MQL and air pressure for supplying MQL. The experiment designs five factors and two levels for each experimental factor.
They are the most important parameters in machining practice: cutting speed, feed rate, and depth of cut. This study investigates the role of the major parameters under MQL machining circumstances. <Table 4> shows the experimental factors and their levels.

제안 방법

In this experiment, the research aims to find any effects on surface roughness produced by three major machining parameters. They are the most important parameters in machining practice: cutting speed, feed rate, and depth of cut.
MQL. The experiment designs five factors and two levels for each experimental factor. <Table 8> shows the design anay for this study.
The objective of this experiment is to optimize surface roughness in MQL machining. Experimental factors and levels in.
turning are selected to perform experiments. This paper draws conclusions through analyzing the experimental data. The final results are meant to inform operators in order that they will be convinced of the high quality of the 잖iiiface roughness in MQL machining.
This research performs experiments for MQL turning on a CNC lathe. The objective is to find machining characteristics and optimal machining parameters producing low surface roughness in MQL machining.
This research plans four sets of experiments aocordii垠 to different purposes respectively. These experiments are designed based on the different experimental factors and levels adopted.
for MQL turning. Thus, this experiment should select controllable experimental factors that affect surface roughness on the turned area. The most important factor for the experiment is the amount of MQL because it is meant to find any effects of MQL on the roughness of machined surfaces.

대상 데이터

The cutting material used in the experiment is aluminum 7075, which is aluminum alloy and has recently been used for aircraft components, The mate”차 is tougher and higher in strength than aluminum 6010 which was commonly used in aircraft production. The chemical composition of the AL 7075 is about 94% aluminum.
The ri응ht side of the bar is machined and the roughness 쟝f its surfaces is measured. The diameter of the specimen is 60mm and it is divided by four space grooves which are 5mm in depth and 5mm in 휴idth. The length of the four machining surfaces is 15mm e쵸ch [3].

데이터처리

From the collected data, this study calculates and analyzes variances in the ANOVA table, which is shown in <Table 12>. The previous tables and figures show feed rate is the most sensitive and important factor for surface roughness.

이론/모형

Since the feed rate in machining is a sensitive parameter for surface roughness, its level is increased by a small amount to investigate its effects to surface roughness [13]. In order to reduce the number of runs in the experiment, this research designs 9 runs adopting L9 of the Tag나chi method [10].
measuring machine in Ra. The measurement follows Korean Industry Standard (KS) and adopts Center Line Average method. <Table 2> shows standard values for meas값Hng details.

후속연구

From this study, this paper insists that MQL machining is a good alternative to replace conventional lubrication if the machining parameters are properly selected. The next experiment is planned to investigate any effects of major machining parameters on surface roughness under MQL machining conditions.

참고문헌 (13)

DeGarmo, E. P., Black, J. T., and Kohser, R. A.; Materials and Processes in Manufacturing, 10th Edition., Wiley, 2008.
Dhar, N. R., Islam, M. W., and Mithu, M. A. H.; "The Influence of Minimum Quantity of Lubrication on Cutting Temperature, Chip, and Dimensional Accuracy in Turning AISI-1040 steel," Journal of Materials Processing Technology, 171 : 93-99, 2006.

상세보기
Hou, X.; "Experimental Research of Minimum Quantity Lubrication on Turning Aluminum," MS Thesis, Changwon National University, R. of Korea, 2007.
Hou, X., Jung, J. Y., and Lee, D. P.; "Optimal Cutting Condition for MQL Turning of Aluminum," Proceedings of the 12th CIRP Conference on Modeling of Machining Operations, Donostia-San Sebastian, Spain : 811-817, May 7-8, 2009.
Hou X. and Jung, J. Y.; "Lubrication Methods for the Roughness of Machined Surfaces," Proceedings of the Summer Conference and Workshop, Society of Korea Industrial and Systems Engineering, Gyeongju, Korea : 217-220, August 17-19, 2010.
Jung, J. Y. and Cho, H. C.; "Quality Improvement of Machined Surface in QML Machining," Journal of the Society of Korea Industrial and Systems Engineering, 30(3) : 54-61, 2007.
Klocke, F. and Eisenblatter, G.; Dry Cutting, Annals of the CIRP, 46(5) : 519-526, 1997.
Liao, Y. S. and Lin, H. M.; "Mechanism of Minimum Quality Lubrication in High-Speed Milling of Hardened Steel," International Journal of Machine Tools and Manufacture, 47 : 1660-1666, 2007.

상세보기
Montgomery, D. C. and Kowalski, S. M.; Design and Analysis of Experiments : Minttab Companion, John Wiley and Sons Inc. 2010.
Roy, R.; A Primer on the Taguchi Method, Van Nostrand Reinhold, 1990.
Shaw, C. S.; Metal Cutting Principles, 2nd Edition., Oxford University Press, 2005.
Sreejith, P. S. and Ngoi B. K., "Dry Machining : Machining of the Future," Journal of Materials Processing Technology, 101 : 287-291, 2000.

상세보기
Suh, N. S.; Mechanics of Metal Cutting, Revised Edition, Dongmyungsa, 2002.

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