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      KCI등재 SCIE

      A Coupling Method of Response Surfaces (CRSM) for Cutting Parameters Optimization in Machining Titanium Alloy under Minimum Quantity Lubrication (MQL) Condition

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      https://www.riss.kr/link?id=A104248265

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      다국어 초록 (Multilingual Abstract)

      This paper presents a new flexible method referring to coupling response surface methodology (CRSM) to acquire optimum cutting parameters in machining of difficult-to-cut titanium alloy under minimum quantity lubrication (MQL) condition. Cutting speed...

      This paper presents a new flexible method referring to coupling response surface methodology (CRSM) to acquire optimum cutting parameters in machining of difficult-to-cut titanium alloy under minimum quantity lubrication (MQL) condition. Cutting speed, feed rate and depth of cut are designed as three factors by using the Taguchi method, which are also subject to several constraints including processing efficiency, cutting force and surface quality. In addition, turning experiments of titanium alloy were performed in order to set up the model based on Taguchi experimental design and multiple regression method. ANOVA was carried out to prove the adequacy of the developed mathematical model and the influences of cutting parameters on constraints were also observed. The results indicated that the feed rate was the dominant factor affecting surface roughness and cutting forces, which were minimized when the feed rate and depth of cut were set to the lowest level, while cutting speed was set to the highest level. Moreover, the predicted values obtained by CRSM were in good agreement with the experimental values, which indicated that CRSM was an effective method to determine optimum cutting conditions for machining process under MQL condition.

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      참고문헌 (Reference)

      1 Machado, A. R., "The effect of extremely low lubricant volumes in machining" 210 (210): 76-82, 1997

      2 Ginting, A., "Surface Integrity of Dry Machined Titanium Alloys" 49 (49): 325-332, 2009

      3 Azlan, M. Z., "Review of ANN Technique for Modeling Surface Roughness Performance Measure in Machining Process" 188-193, 2009

      4 Azlan, M. Z., "Prediction of surface roughness in the end milling machining using Artificial Neural Network" 37 (37): 1755-1768, 2010

      5 Sharif, S., "Optimization of surface roughness prediction model in end milling titanium alloy(Ti-6Al-4V)" 55-59, 2006

      6 Astakhov, V. P, "Metal cutting theory foundations of near-dry (MQL) machining" 7 : 1-16, 2010

      7 Ramesh, S. L., "Measurement and Analysis of Surface Roughness in Turning of Aerospace Titanium Alloy(gr5)" 45 (45): 1266-1276, 2012

      8 Choudhury, I. A., "Machinability assessment of inconel 718 by factorial design of experiment coupled with response surface methodology" 95 : 30-39, 1999

      9 Sanjeev Saini, "Influence of Cutting Parameters on Tool Wear and Surface Roughness in Hard Turning of AISI H11 Tool Steel using Ceramic Tools" 한국정밀공학회 13 (13): 1295-1302, 2012

      10 Zhao, W., "High Speed Milling of Ti6Al4V Alloy with Minimal Quantity Lubrication" 329 : 663-668, 2007

      1 Machado, A. R., "The effect of extremely low lubricant volumes in machining" 210 (210): 76-82, 1997

      2 Ginting, A., "Surface Integrity of Dry Machined Titanium Alloys" 49 (49): 325-332, 2009

      3 Azlan, M. Z., "Review of ANN Technique for Modeling Surface Roughness Performance Measure in Machining Process" 188-193, 2009

      4 Azlan, M. Z., "Prediction of surface roughness in the end milling machining using Artificial Neural Network" 37 (37): 1755-1768, 2010

      5 Sharif, S., "Optimization of surface roughness prediction model in end milling titanium alloy(Ti-6Al-4V)" 55-59, 2006

      6 Astakhov, V. P, "Metal cutting theory foundations of near-dry (MQL) machining" 7 : 1-16, 2010

      7 Ramesh, S. L., "Measurement and Analysis of Surface Roughness in Turning of Aerospace Titanium Alloy(gr5)" 45 (45): 1266-1276, 2012

      8 Choudhury, I. A., "Machinability assessment of inconel 718 by factorial design of experiment coupled with response surface methodology" 95 : 30-39, 1999

      9 Sanjeev Saini, "Influence of Cutting Parameters on Tool Wear and Surface Roughness in Hard Turning of AISI H11 Tool Steel using Ceramic Tools" 한국정밀공학회 13 (13): 1295-1302, 2012

      10 Zhao, W., "High Speed Milling of Ti6Al4V Alloy with Minimal Quantity Lubrication" 329 : 663-668, 2007

      11 Khan, M. M. A., "Effects of minimum quantity lubrication on turning AISI 9310 alloy steel using vegetable oil based cutting fluid" 209 : 5573-5583, 2009

      12 Sun, J., "Effects of Coolant Supply Methods and Cutting Conditions on Tool Life in End Milling Titanium Alloy" 10 (10): 355-370, 2006

      13 Bruni, C., "Effect of the lubrication-cooling technique, insert technology and machine bed material on the workpart surface finish and tool wear in finish turning of AISI 420B" 46 (46): 1547-1554, 2006

      14 Dhar, N. R., "Effect of minimum quantity lubrication(MQL)on tool wear and surface roughness in turning AISI4340 steel" 172 : 299-304, 2006

      15 Sridhar, B. R., "Effect of Machining Parameters and Heat Treatment on the Residual Stress Distribution in Titanium Alloy IMI-834" 139 (139): 628-634, 2003

      16 Weinert, K., "Dry Machining and Minimum Quantity Lubrication" 53 : 511-537, 2004

      17 Ginta, T. L., "Development of Surface Roughness Models in End Milling Titanium Alloy Ti-6Al-4V Using Uncoated Tungsten Carbide Inserts" 28 (28): 542-551, 2009

      18 Oktem, H., "Application of response surface methodology in the optimization of cutting conditions for surface roughness" 170 : 11-16, 2005

      19 Dhar, N. R., "An experimental investigation on effect of minimum quantity lubrication in machining AISI 1040 steel" 47 (47): 748-753, 2007

      20 Sundara, M. K., "A study on optimisation of cutting parameters and prediction of surface roughness in end milling of aluminium under MQL machining" 7 (7): 112-128, 2009

      21 Sun, J., "A Comprehensive Experimental Study on Surface Integrity by End Milling Ti-6Al-4V" 209 (209): 4036-4042, 2009

      22 Chen, Y., "A Bayesian Hierarchical Approach to Dual Response Surface Modeling" 38 (38): 1963-1975, 2011

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      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-06-23 학회명변경 영문명 : Korean Society Of Precision Engineering -> Korean Society for Precision Engineering KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-05-30 학술지명변경 한글명 : 한국정밀공학회 영문논문집 -> International Journal of the Korean of Precision Engineering KCI등재후보
      2005-05-30 학술지명변경 한글명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
      외국어명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
      KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      2016 1.38 0.71 1.08
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      0.92 0.85 0.583 0.11
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