267
Views
19
CrossRef citations to date
0
Altmetric
Research Article

Machinability evaluation during machining of AISI 52100 steel with textured tools under Minimum Quantity Lubrication – A comparative study

, , &
Pages 1761-1768 | Received 18 Jul 2019, Accepted 02 Jul 2020, Published online: 12 Aug 2020

References

  • Sarıkaya, M.; Yılmaz, V.; Güllü, A. Analysis of Cutting Parameters and Cooling/lubrication Methods for Sustainable Machining in Turning of Haynes 25 Superalloy. J. Clean. Prod. 2016, 133, 172–181. DOI: 10.1016/j.jclepro.2016.05.122.
  • Sartori, S.; Ghiotti, A.; Bruschi, S. Solid Lubricant-assisted Minimum Quantity Lubrication and Cooling Strategies to Improve Ti6Al4V Machinability in Finishing Turning. Trib. Inter. 2018, 118, 287–294. DOI: 10.1016/j.triboint.2017.10.010.
  • Sivaiah, P.; Chakradhar, D. Comparative Evaluations of Machining Performance during Turning of 17-4 PH Stainless Steel under Cryogenic and Wet Machining Conditions. Mach. Sci. Technol. 2018, 22(1), 147–162. DOI: 10.1080/10910344.2017.1337129.
  • Sivaiah, P.; Chakradhar, D. Effect of Cryogenic Coolant on Turning Performance Characteristics during Machining of 17-4 PH Stainless Steel: A Comparison with MQL, Wet,dry Machining. CIRP J. Manuf. Sci. Technol. 2018, 21, 86–96. DOI: 10.1016/j.cirpj.2018.02.004.
  • Sivaiah, P.; Chakradhar, D. The Effectiveness of a Novel Cryogenic Cooling Approach on Turning Performance Characteristics during Machining of 17-4 PH Stainless Steel Material. Silicon. 2019, 11(1), 25–38. DOI: 10.1007/s12633-018-9875-3.
  • Sivaiah, P.; Chakradhar, D. Influence of Cryogenic Coolant on Turning Performance Characteristics: A Comparison with Wet Machining. Mater. Manuf. Process. 2017, 32(13), 1475–1485. DOI: 10.1080/10426914.2016.1269920.
  • Sivaiah, P.; Chakradhar, D. Machinability Studies on 17-4 PH Stainless Steel under Cryogenic Cooling Environment. Mater. Manuf. Process. 2017, 32(15), 1775–1788. DOI: 10.1080/10426914.2017.1339317.
  • Raghavan, S.; Melkote, S.; Hashimoto, F. Laser Tempering Based Turning Process for Efficient Machining of Hardened AISI 52100 Steel. J. Manuf. Process. 2013, 15(3), 318–328. DOI: 10.1016/j.jmapro.2013.03.002.
  • Attanasio, A.; Umbrello, D.; Cappellini, C.; Rotella, G.; M’Saoubi, R. Tool Wear Effects on White and Dark Layer Formation in Hard Turning of AISI 52100 Steel. Wear. 2012, 286, 98–107. DOI: 10.1016/j.wear.2011.07.001.
  • Revel, P.; Jouini, N.; Thoquenne, G.; Lefebvre, F. High Precision Hard Turning of AISI 52100 Bearing Steel. Precis. Eng. 2016, 43, 24–33. DOI: 10.1016/j.precisioneng.2015.06.006.
  • Pang, M.; Nie, Y.; Ma, L. Effect of Symmetrical Conical Micro-grooved Texture on Tool–chip Friction Property of WC-TiC/Co Cemented Carbide Tools. Int. J. Adv. Manuf. Technol. 2018, 99(1–4), 737–746. DOI: 10.1007/s00170-018-2498-4.
  • Sun, J.; Zhou, Y.; Deng, J.; Zhao, J. Effect of Hybrid Texture Combining Micro-pits and Micro-grooves on Cutting Performance of WC/Co-based Tools. Int. J. Adv. Manuf. Technol. 2016, 86(9–12), 3383–3394. DOI: 10.1007/s00170-016-8452-4.
  • Durairaj, S.; Guo, J.; Aramcharoen, A.; Castagne, S. An Experimental Study into the Effect of Micro-textures on the Performance of Cutting Tool. Int. J. Adv. Manuf. Technol. 2018, 98(1–4), 1011–1030. DOI: 10.1007/s00170-018-2309-y.
  • Hao, X.; Chen, X.; Xiao, S.; Li, L.; He, N. Cutting Performance of Carbide Tools with Hybrid Texture. Int. J. Adv. Manuf. Technol. 2018, 97(9–12), 3547–3556. DOI: 10.1007/s00170-018-2188-2.
  • Sharma, V.; Pandey, P. M. Comparative Study of Turning of 4340 Hardened Steel with Hybrid Textured Self-Lubricating Cutting Inserts. Mater. Manuf. Process. 2016, 31(14), 1904–1916. DOI: 10.1080/10426914.2015.1127951.
  • Manikandan, N.; Arulkirubakaran, D.; Palanisamy, D.; Raju, R. Influence of wire-EDM Textured Conventional Tungsten Carbide Inserts in Machining of Aerospace Materials (Ti - 6Al −4V Alloy). Mater. Manuf. Process. 2018, 34(1), 103–111. DOI: 10.1080/10426914.2018.1544712.
  • Dinesh, S.; Senthilkumar, V.; Asokan, P. Experimental Studies on Cryogenic Machining of Bio-Degradable ZK60 Mg Alloy Using Micro-Textured Tools. Mater. Manuf. Process. 2017, 32(9), 979–987. DOI: 10.1080/10426914.2016.1221096.
  • Jesudass Thomas, S.; Kalaichelvan, K. Comparative Study of the Effect of Surface Texturing on Cutting Tool in Dry Cutting. Mater. Manuf. Process. 2018, 33(6), 683–694. DOI: 10.1080/10426914.2017.1376070.
  • Palanisamy, D.; Balasubramanian, K.; Manikandan, N.; Arulkirubakaran, D.; Ramesh, R. Machinability Analysis of High Strength Materials with Cryo-Treated Textured Tungsten Carbide Inserts. Mater. Manuf. Process. 2019, 34(5), 502–510. DOI: 10.1080/10426914.2019.1566612.
  • Ma, J.; Duong, N. H.; Lei, S. Numerical Investigation of the Performance of Microbump Textured Cutting Tool in Dry Machining of AISI 1045 Steel. J. Manuf. Process. 2015, 19, 194–204. DOI: 10.1016/j.jmapro.2014.10.001.
  • Saikumar, V.; Venkatesh, V.; Sivaiah, P. Multi-objective Optimization in CNC Milling Process of Al-Cu-Zn Alloy Matrix Composite by Using Taguchi-grey Relational Analysis Technique. Adv. Mater. Manuf. Charact. 2015, 5(1), 35–42.
  • Sivaiah, P.; Chakradhar, D. Multi Performance Characteristics Optimization in Cryogenic Turning of 17-4 PH Stainless Steel Using Taguchi Coupled Grey Relational Analysis. Adv. Mater. Process. Technol. 2018, 4(3), 431–447. DOI: 10.1080/2374068X.2018.1452132.
  • Sivaiah, P.; Chakradhar, D. Multi-objective Optimisation of Cryogenic Turning Process Using Taguchi-based Grey Relational Analysis. Int. J. Mach. Mach. Mater. 2017, 19(4), 297–312. DOI: 10.1504/IJMMM.2017.086161.
  • Sivaiah, P.; Chakradhar, D. Analysis and Modeling of Cryogenic Turning Operation Using Response Surface Methodology. Silicon. 2018, 10(6), 2751–2768. DOI: 10.1007/s12633-018-9816-1.
  • Sivaiah, P.; Chakradhar, D. Modeling and Optimization of Sustainable Manufacturing Process in Machining of 17-4 PH Stainless Steel. Measurement. 2019, 134, 142–152. DOI: 10.1016/j.measurement.2018.10.067.
  • Sivaiah, P.; Chakradhar, D. Performance Improvement of Cryogenic Turning Process during Machining of 17-4 PH Stainless Steel Using Multi Objective Optimization Techniques. Measurement. 2019, 136, 326–336. DOI: 10.1016/j.measurement.2018.12.094.
  • Sivaiah, P.; Mallikarjuna, P.; Uma, B.; Venkata Chalapathi, K. Optimization of Environmental Friendly Turning Process Using Taguchi Integrated Grey Relational Analysis during Machining of 17-4 Ph Stainless Steel. I-manager’s J. Mech. Eng. 2018, 8(4), 8–17. DOI: 10.26634/jme.8.4.14190.
  • Orra, K.; Choudhury, S. K. Tribological Aspects of Various Geometrically Shaped Micro-textures on Cutting Insert to Improve Tool Life in Hard Turning Process. J. Manuf. Process. 2017, 31, 502–513. DOI: 10.1016/j.jmapro.2017.12.005.
  • Ji, X.; Li, B.; Zhang, X.; Liang, S. Y. The Effects of Minimum Quantity Lubrication (MQL) on Machining Force, Temperature, and Residual Stress. Int. J. Precis. Eng. Manuf. 2014, 15(11), 2443–2451. DOI: 10.1007/s12541-014-0612-6.
  • Cassin, C.; Boothroyd, G. Lubricating Action of Cutting Fluids. J. Mech. Eng. Sci. 1965, 7(1), 67–81. DOI: 10.1243/JMES_JOUR_1965_007_012_02.
  • Feng, Y.; Zhang, J.; Wang, L.; Zhang, W.; Tian, Y.; Kong, X. Fabrication Techniques and Cutting Performance of Micro-textured Self- Lubricating Ceramic Cutting Tools by In-situ Forming of Al2O3 -tic. Int. J. Refract. Metals Hard Mater. 2017, 68, 121–129. DOI: 10.1016/j.ijrmhm.2017.07.007.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.