Surface finish and cutting efficiency in gingelly oil during machining: regression analysis

Cover Page

Cite item

Full Text

Abstract

This study evaluates the use of gingelly oil as an eco-friendly cutting fluid for the turning operation. Experiments were conducted to determine the effect of nose radius, and rake angle on tool wear, surface formation, and cutting force. In addition, different lubrication techniques, such as cutting fluids and bio-oils, were investigated to determine their potential for minimising friction, heat generation, and tool wear during machining. In comparison to dry cutting, and conventional petroleum-based lubricants, the results demonstrate that gingelly oil consistently produces smoother surface finishes, and reduces cutting forces. The relationships between cutting parameters, and surface finish were analysed using statistical modelling, with R-square and p-values used to quantify correlations and predictor significance. The findings highlight the viability of gingelly oil as a cutting fluid and the significance of optimising process parameters for increased machining efficiency.

About the authors

Rao Agari Shailesh

NITTE Meenkshi Institute of Technology

Author for correspondence.
Email: shailesh.rao@nmit.ac.in
ORCID iD: 0000-0001-6190-9857

PhD, Professor, Department of Mechanical Engineering

India, 560064, India, Bangalore, P.B. No. 6429

References

  1. Beyer F., Willner K. Surface Deformation due to Shear and Ploughing in a Halfspace. PAMM, 2014, vol. 14, no. 1, pp. 239–240. doi: 10.1002/pamm.201410107.
  2. Hatna A., Grieve B. Cartesian machining versus parametric machining: A comparative study. International Journal of Production Research, 2000, vol. 38, no. 13, pp. 3043–3065. doi: 10.1080/00207540050117431.
  3. Oda Y., Kawamura Y., Fujishima M. Energy Consumption Reduction by Machining Process Improvement. Procedia CIRP, 2012, vol. 4, pp. 120–124. doi: 10.1016/j.procir.2012.10.022.
  4. Balevicius G., Ostasevicius V., Jurenas V., Baskutiene J., Zakrasas R. Investigation of vibration assisted drilling prospects for improving machining characteristics of hard to machine materials at high and low frequency ranges. Mechanics, 2016, vol. 22, no. 2, pp. 125–131. doi: 10.5755/j01.mech.22.2.14431.
  5. Nagasaka K., Hashimoto F. The establishment of a tool life equation considering the amount of tool wear. Wear, 1982, vol. 81, no. 1, pp. 21–31. doi: 10.1016/0043-1648(82)90301-5.
  6. Guney M., Seker U. Investigation of the Effect of Cutting Tool Rake Angle on Feed Force. Journal of Polytechnic, 2005, vol. 8, no. 4, pp. 323–328. doi: 10.2339/y2005.v8.n4.p323-328.
  7. Naves V.T.G., Da Silva M.B., Da Silva F.J. Evaluation of the effect of application of cutting fluid at high pressure on tool wear during turning operation of AISI 316 austenitic stainless steel. Wear, 2013, vol. 302, no. 1-2, pp. 1201–1208. doi: 10.1016/j.wear.2013.03.016.
  8. Neşeli S., Yaldız S., Türkeş E. Optimization of tool geometry parameters for turning operations based on the response surface methodology. Measurement, 2011, vol. 44, no. 3, pp. 580–587. doi: 10.1016/j.measurement.2010.11.018.
  9. Sewailem M.R., Mobarak I.M. The practical estimation of tool wear in turning. Wear, 1981, vol. 67, no. 3, pp. 261–269. doi: 10.1016/0043-1648(81)90041-7.
  10. Patwari A.U., Mahmood M.N., Arif M.D. Improvement of Machinability of Mild Steel during Turning Operation by Magnetic Cutting. International Journal on Advanced Science, Engineering and Information Technology, 2012, vol. 2, no. 3, pp. 207–210. doi: 10.18517/ijaseit.2.3.187.
  11. Ghani A.K., Choudhury I.A., Husni. Study of tool life, surface roughness and vibration in machining nodular cast iron with ceramic tool. Journal of Materials Processing Technology, 2002, vol. 127, no. 1, pp. 17–22. doi: 10.1016/s0924-0136(02)00092-4.
  12. Dahlman P., Gunnberg F., Jacobson M. The influence of rake angle, cutting feed and cutting depth on residual stresses in hard turning. Journal of Materials Processing Technology, 2004, vol. 147, no. 2, pp. 181–184. doi: 10.1016/j.matprotec.2003.12.014.
  13. Verma A., Sharma S. Analysis of Cutting Forces for Different Work Materials and Tool Material: Effect of Rake Angle in Turning Process. International Journal of Scientific Research, 2014, vol. 3, no. 7, pp. 172–173. doi: 10.15373/22778179/july2014/54.
  14. Radhika A., Shailesh Rao A., Yogesha K.B. Evaluating machining performance of AlSI 1014 steel using gingelly oil as cutting fluid. Australian Journal of Mechanical Engineering, 2019, vol. 19, no. 4, pp. 445–456. doi: 10.1080/14484846.2019.1636517.
  15. Dodla S. Experimental Investigations of Tool Wear in Vibration-Assisted Turning of Inconel 718. Archives of Metallurgy and Materials, 2022, vol. 67, no. 3, pp. 949–953. doi: 10.24425/amm.2022.139687.
  16. Shailesh Rao A. Effect of nose radius on the chip morphology, cutting force and tool wear during dry turning of Inconel 718. Tribology - Materials, Surfaces & Interfaces, 2023, vol. 17, no. 1, pp. 62–71. doi: 10.1080/17515831.2022.2160161.
  17. Yan Pei, Rong Yiming, Wang Gang. The effect of cutting fluids applied in metal cutting process. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2015, vol. 230, no. 1, pp. 19–37. doi: 10.1177/0954405415590993.
  18. Haygreen L.H. Selection of cutting fluids. Tribology International, 1977, vol. 10, no. 1, pp. 13–16. doi: 10.1016/0301-679x(77)90146-3.
  19. Bartarya G., Choudhury S.K. Effect of Cutting Parameters on Cutting Force and Surface Roughness During Finish Hard Turning AISI52100 Grade Steel. Procedia CIRP, 2012, vol. 1, pp. 651–656. doi: 10.1016/j.procir.2012.05.016.
  20. Shashidhara Y.M., Jayaram S.R. Vegetable oils as a potential cutting fluid - An evolution. Tribology International, 2010, vol. 43, no. 5-6, pp. 1073–1081. doi: 10.1016/j.triboint.2009.12.065.
  21. Rapeti P., Pasam V.K., Rao Gurram K.M., Revuru R.S. Performance evaluation of vegetable oil based nano cutting fluids in machining using grey relational analysis – A step towards sustainable manufacturing. Journal of Cleaner Production, 2018, vol. 172, pp. 2862–2875. doi: 10.1016/j.jclepro.2017.11.127.
  22. Kumar B.S., Padmanabhan G., Krishna P.V. Experimental Investigations of Vegetable Oil Based Cutting Fluids with Extreme Pressure Additive in Machining of AISI 1040 Steel. Manufacturing Science and Technology, 2015, vol. 3, no. 1, pp. 1–9. doi: 10.13189/mst.2015.030101.
  23. Ozcelik B., Kuram E., Huseyin Cetin M., Demirbas E. Experimental investigations of vegetable based cutting fluids with extreme pressure during turning of AISI 304L. Tribology International, 2011, vol. 44, no. 12, pp. 1864–1871. doi: 10.1016/j.triboint.2011.07.012.
  24. Cetin M.H., Ozcelik B., Kuram E., Demirbas E. Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method. Journal of Cleaner Production, 2011, vol. 19, no. 17-18, pp. 2049–2056. doi: 10.1016/j.jclepro.2011.07.013.
  25. Gunjal S.U., Patil N.G. Experimental Investigations into Turning of Hardened AISI 4340 Steel using Vegetable based Cutting Fluids under Minimum Quantity Lubrication. Procedia Manufacturing, 2018, vol. 20, pp. 18–23. doi: 10.1016/j.promfg.2018.02.003.
  26. Katna R., Suhaib M., Agrawal N. Nonedible vegetable oil-based cutting fluids for machining processes – a review. Materials and Manufacturing Processes, 2019, vol. 35, no. 1, pp. 1–32. doi: 10.1080/10426914.2019.1697446.
  27. Sredanovic B., Cica D. Comparative Study of ANN and ANFIS Prediction Models For Turning Process in Different Cooling and Lubricating Conditions. SAE International Journal of Materials and Manufacturing, 2015, vol. 8, no. 2, pp. 586–591. doi: 10.4271/2015-01-9082.
  28. Cica D., Sredanovic B., Tesic S., Kramar D. Predictive modeling of turning operations under different cooling/lubricating conditions for sustainable manufacturing with machine learning techniques. Applied Computing and Informatics, 2024, vol. 20, no. 1/2, pp. 162–180. doi: 10.1016/j.aci.2020.02.001.
  29. Shailesh R.A. Regression Analysis of Cutting Forces in Machining - Impact of Cutting Conditions and Fluids. Comadem Journal, 2024, vol. 27, no. 1, pp. 31–39.
  30. Nagaraj A., Uysal A., Gururaja S., Jawahir I.S. Analysis of surface integrity in drilling carbon fiber reinforced polymer composite material under various cooling/lubricating conditions. Journal of Manufacturing Processes, 2022, vol. 82, pp. 124–137. doi: 10.1016/j.jmapro.2022.07.065.
  31. Arapoglu R.A., Sofuoglu M.A., Orak S. An ANN-Based Method to Predict Surface Roughness in Turning Operations. Arabian Journal for Science and Engineering, 2017, vol. 42, pp. 1929–1940. doi: 10.1007/s13369-016-2385-y.
  32. Veeranaath V., Nandana Mohanty M., Kumar A., Kumar P. ANN modeling of the significance of constraints in turning superalloys using coated PCBN tools. Materials Today: Proceedings, 2022, vol. 65-1, pp. 20–28. doi: 10.1016/j.matpr.2022.03.559.
  33. Agari S.R. Wear and surface characteristics on tool performance with CVD coating of Al2O3/TiCN inserts during machining of Inconel 718 alloys. Archive of Mechanical Engineering, 2022, vol. 69, no. 1, pp. 59–75.
  34. Prasad K., Chakraborty S. A decision-making model for non-traditional machining processes selection. Decision Science Letters, 2014, vol. 3, pp. 467–478. doi: 10.5267/j.dsl.2014.7.002.

Supplementary files

Supplementary Files
Action
1. JATS XML
Download

Copyright (c) 2024 Shailesh R.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies