Year 2019, Volume 3 , Issue 2, Pages 157 - 164 2019-10-10

Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication

Mustafa GÜNAY [1] , Halil DEMİR [2] , Mehmet Erdi KORKMAZ [3] , Ramazan ÇAKIROĞLU [4]


In this study, influences of cutting parameters in hard turning of hot work tool steel by applying minimum quantity lubrication (MQL) were investigated and optimized by using Taguchi methodology. Firstly, the machinability experiments on hardened AISI H10A hot work tool steel with CBN inserts were performed under the MQL condition. The experiments were carried out by Taguchis L9 orthogonal array. The machinability of AISI H10A steel were evaluated in terms of average surface roughness (Ra) and main cutting force (Fc). The analysis of variance (ANOVA) was applied to determine the effects of cutting parameters (cutting speed, feed rate and depth of cut) on surface roughness and cutting force. It was observed that surface roughness and cutting force increased with increasing feed rate and depth of cut in machining by applying MQL with uncoated CBN inserts. Depth of cut was determined as the most important parameter on surface roughness with 66.57% PCR while feed rate was determined on cutting force with 50.68% PCR. On the other hand, optimum cutting parameters for surface roughness and cutting force were found at different levels as a result of Taguchi optimization.

AISI H10A, MQL, optimization, cutting force, surface roughness
  • [1]. R. Shivpuri, Dies and die materials for hot forging. ASM Handbook, Metalworking: Bulk Forming, USA, 2005.
  • [2]. I. Meddour, M.A. Yallese, R. Khattabi, M. Elbah, L. Boulanouar, Investigation and modeling of cutting forces and surface roughness when hard turning of AISI 52100 steel with mixed ceramic tool: cutting conditions optimization. Int J Adv Manuf Technol. 77, 1387–1399, 2015.
  • [3]. T. Özel, T.K. Hsu, E. Zeren, Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel. Int J Adv Manuf Technol. 25, 262–269, 2005.
  • [4]. J.E. Stahl, Metal Cutting-Theories and models, Lund University in cooperation with Seco Tools AB, Lund/Fagersta, Sweden, 2012.
  • [5]. E. Yücel, M. Günay, Modelling and optimization of the cutting conditions in hard turning of high-alloy white cast iron (Ni-Hard). Proc IMechE Part C: J Mech Eng Sci. 227(10), 2280-2290, 2013.
  • [6]. H. Yurtkuran, M.E. Korkmaz, M. Günay, Modelling and Optimization of the Surface Roughness in High Speed Hard Turning with Coated and Uncoated CBN Insert. Gazi Uni J Sci. 29(4), 987-995, 2016.
  • [7]. S. Chinchanikar, S.K. Choudhury, Machining of hardened steel-Experimental investigations, performance modeling and cooling techniques: A review. Int J Mach Tools Manuf. 89, 95–109, 2015.
  • [8]. N.A.C. Sidik, S. Samion, J. Ghaderian, M.N.A.W.M. Yazid, Recent progress on the application of nanofluids in minimum quantity lubrication machining: A review. Int J Heat Mass Transf. 108, 79–89, 2017.
  • [9]. H. Aouici, M.A. Yallese, K. Chaoui, T. Mabrouki, J.F. Rigal, Analysis of surface roughness and cutting force components in hard turning with CBN tool: prediction model and cutting conditions optimization. Measurement 45, 344–353, 2012.
  • [10]. M. Boy, I. Ciftci, M. Gunay, F. Ozhan, Application of the taguchi method to optimize the cutting conditions in hard turning of a ring bore. Materials and Technology 49 (5), 765–772, 2015.
  • [11]. A. Kaçal, Investigation of Cutting Performance of the Ceramic Inserts in Terms of the Surface Roughness and Tool Wear at Turning of PMD 23 Steel. Applied Mechanics and Materials, 686, 10-16, 2014.
  • [12]. M.N. Islam, Effect of additional factors on dimensional accuracy and surface finish of turned parts. Machining Science and Technology 17, 145–162, 2013.
  • [13]. M. Sarıkaya, A. Güllü, Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25. Journal of Cleaner Production 91, 347-357, 2015.
  • [14]. P.S. Paul, A.S. Varadarajan, R.R. Gnanadurai, Study on the influence of fluid application parameters on tool vibration and cutting performance during turning of hardened steel. Engineering Science and Technology, an International Journal, 19, 241-253, 2016.
  • [15]. M. Mia, M.H. Razi, I. Ahmad, R. Mostafa, S.M.S. Rahman, D.H. Ahmed, P.R. Dey, N.R. Dhar, Effect of time-controlled MQL pulsing on surface roughness in hard turning by statistical analysis and artificial neural network. Int J Adv Manuf Technol. 1-13, 2017.
  • [16]. M. Günay, Optimization with Taguchi method of cutting parameters and tool nose radius in machining of AISI 316L steel. Journal of Faculty Engineering Architecture of Gazi University, 28(3), 437-444, 2013.
Subjects Engineering
Journal Section Makaleler
Authors

Author: Mustafa GÜNAY
Country: Turkey


Author: Halil DEMİR (Primary Author)

Author: Mehmet Erdi KORKMAZ

Author: Ramazan ÇAKIROĞLU

Dates

Publication Date : October 10, 2019

Bibtex @review { ejens371766, journal = {European Journal of Engineering and Natural Sciences}, issn = {}, eissn = {2458-8156}, address = {}, publisher = {CNR Çevre}, year = {2019}, volume = {3}, pages = {157 - 164}, doi = {}, title = {Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication}, key = {cite}, author = {Günay, Mustafa and Demir, Halil and Korkmaz, Mehmet Erdi and Çakıroğlu, Ramazan} }
APA Günay, M , Demir, H , Korkmaz, M , Çakıroğlu, R . (2019). Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication . European Journal of Engineering and Natural Sciences , 3 (2) , 157-164 . Retrieved from https://dergipark.org.tr/en/pub/ejens/issue/49410/371766
MLA Günay, M , Demir, H , Korkmaz, M , Çakıroğlu, R . "Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication" . European Journal of Engineering and Natural Sciences 3 (2019 ): 157-164 <https://dergipark.org.tr/en/pub/ejens/issue/49410/371766>
Chicago Günay, M , Demir, H , Korkmaz, M , Çakıroğlu, R . "Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication". European Journal of Engineering and Natural Sciences 3 (2019 ): 157-164
RIS TY - JOUR T1 - Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication AU - Mustafa Günay , Halil Demir , Mehmet Erdi Korkmaz , Ramazan Çakıroğlu Y1 - 2019 PY - 2019 N1 - DO - T2 - European Journal of Engineering and Natural Sciences JF - Journal JO - JOR SP - 157 EP - 164 VL - 3 IS - 2 SN - -2458-8156 M3 - UR - Y2 - 2019 ER -
EndNote %0 European Journal of Engineering and Natural Sciences Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication %A Mustafa Günay , Halil Demir , Mehmet Erdi Korkmaz , Ramazan Çakıroğlu %T Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication %D 2019 %J European Journal of Engineering and Natural Sciences %P -2458-8156 %V 3 %N 2 %R %U
ISNAD Günay, Mustafa , Demir, Halil , Korkmaz, Mehmet Erdi , Çakıroğlu, Ramazan . "Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication". European Journal of Engineering and Natural Sciences 3 / 2 (October 2019): 157-164 .
AMA Günay M , Demir H , Korkmaz M , Çakıroğlu R . Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication. European Journal of Engineering and Natural Sciences. 2019; 3(2): 157-164.
Vancouver Günay M , Demir H , Korkmaz M , Çakıroğlu R . Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication. European Journal of Engineering and Natural Sciences. 2019; 3(2): 157-164.
IEEE M. Günay , H. Demir , M. Korkmaz and R. Çakıroğlu , "Optimization of Cutting Parameters in Hard Turning of AISI H10A Steel under Minimum Quantity Lubrication", European Journal of Engineering and Natural Sciences, vol. 3, no. 2, pp. 157-164, Oct. 2019