Evaluation of Ecological Minimum Quantity Lubrication Turning of AISI 4340 Alloy for Parametric Choices Using the Distance from Average Solution (EDAS) Method

Chukwuka Prosper Ozule; Sunday Ayoola Oke; John Rajan; Adeyinka Oluwo; Manasseh Olusegun Oyekeye

doi:10.22441/ijiem.v5i3.22752

Authors

Chukwuka Prosper Ozule Department of Mechanical Engineering, University of Lagos, Lagos 101017, Nigeria
Sunday Ayoola Oke Department of Mechanical Engineering, University of Lagos, Lagos 101017, Nigeria http://orcid.org/0000-0002-0914-8146
John Rajan Department of Manufacturing Engineering, Vellore Institute of Technology, Vellore, India, India
Adeyinka Oluwo Department of Mechanical Engineering, University of Lagos, Lagos 101017, Nigeria
Manasseh Olusegun Oyekeye Department of Mechanical Engineering, University of Lagos, Lagos 101017, Nigeria

DOI:

https://doi.org/10.22441/ijiem.v5i3.22752

Keywords:

Flooding, Cutting operation, Cutting parameters, Ecological machining

Abstract

Flood-cutting fluids and minimum quantity lubrication (MQL) schemes are associated with high cutting fluid costs and health effects, which should be regulated through the selection and optimization of parameters. This paper applies the distance from average solution (EDAS) method to assess the criteria value regarding three alternatives (cutting depth, cutting speed and feed) using CuO nano lubricants discharged in minimum quantity lubrication. Three responses, including beneficial (cutting speed, feed and cutting depth) and non-beneficial (cutting force) responses were used. A novel weight determination scheme based on the beneficial and non-beneficial criteria was established for the first time as inputs to the EDAS method. The weights established 0.1504, 0.2832, 0.2832 and 0.2832 for cutting force, cutting speed, feed and cutting depth, respectively. The results show a multi-modal best performance of 0.8438, which occurs in multiple experimental trials of 2, 4, 5, and 8. The optimization implemented in this study uses all inputs and the CuO nano lubricant was considered in each case using a spreadsheet for the evaluation. Case study data illustrating the uniqueness of the method using the literature data shows that EDAS is robust enough to be applied in machining activities.

Downloads

Download data is not yet available.

Author Biographies

Sunday Ayoola Oke, Department of Mechanical Engineering, University of Lagos, Lagos 101017

https://scholar.google.com/citations?hl=id&user=50-VnTIAAAAJ

John Rajan, Department of Manufacturing Engineering, Vellore Institute of Technology, Vellore, India

-

References

Abas M., Alkahtani M., Khalid Q.S., Hussain G., Abidi M.H., Buhl J. (2022). Parametric study and optimization of end milling operation of AISI 1522H steel rising definitive screening design and multicriteria decision-making approach, Materials, 15(12), Article 4086. https://doi.org/10.3390/ma15124086

Anadan V., Baba M.N., Sezhian M.V., Yildrim C.V., Baba M.D. (2021). Influence of grapheme nanofluid on various environmental factors during turning of M42 steel. Journal of Manufacturing Processes, 68, 90-103. https://doi.org/10.1016/j.mapro.2021.07.019

Attri R., Dev N., Kumar K., Rana A. (2014). Cutting-fluid selection using complex proportional assessment method. International Journal of Services and Operations Management, 18(4), 359-377. https://doi.org/10.1504/IJSOM.2014.063241

Babu M.N., Anandan V., Babu M.D. (2021). Performance of ionic liquid as a lubricant in turning Inconel 825d via minimum quantity lubrication method. Journal of Manufacturing Processes, 64, 793-804. https://doi.org/10.1016/j.mapro.2021.02.011

Cai L., Feny Y., Lu Y-T., Lin Y-F., Hung T.-P., Hsu F-C., Liang S.Y. (2022). Analytical model for temperature prediction in milling AISID2 with minimum quantity lubrication. Metals, 12(4), 697. https://doi.org/10.3390/met.12040697

Das C.R., Ghosh A. (2023). Performance of carbide end mills coated with new generation nanocomposite TiAlSiN. in manufacturing of austenitic stainless steel under near-dry (MQL) and flood cooling conditions. Journal of Manufacturing Processes, 14, 418-442. https://doi.org/10.1016/j.jmapro.2023.09.020

Du F., Zhou T., Tian P., Chen J., Zhou X., He L., Ren A. (2023). Cutting performance and cutting fluid infiltration characteristics into tool chip interface during MQL milling. Measurement, Article 113989, https://doi.org/10/1016/j.measurement.2023.113989

Elsheikh A.H., Elaziz M.A., Das S.R., Muthuramalingam T., Lu S. (2021). A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants Journal of Manufacturing Processes, 67, 562–578. https://doi.org/10.1016/j.jmapro.2021.05.014

Filho S.L. M. R., Vieira J.T., de Oliveira J.A., Arruda E.M., Brandao L.C. (2017). Comparison among different vegetable fluids used in minimum quantity lubrication systems in the tapping process of cast aluminum alloy. Journal of Cleaner Production, 140(3), 1255-126. http://doi.org/10.1016/j.jchepro.2016.10.032

Gajrani K.K., Rani D., Sankar M.R. (2017). Biodegradation and hard machining performance comparison of eco-friendly cutting fluid and mineral oil using flood cooling and minimum quantity cutting fluid techniques. Journal of Cleaner Production, 165, 1420-1435. https://doi.org/10.1016/j.jclepro.2017.07.217

Gajrani K.K., Suvin P.S., Kailas S.V., Sankar M.R.. (2019). Hard machining performance of indigenously developed green cutting fluid using flood cooling and minimum quantity cutting fluid. Journal of Cleaner Production, 206, 180-123. https://doi.org/10.1016/j.jcle Pro. 2018. 09.178

Gueli M., Ma J., Cococcetta N., Pearl D., Jahan M.P. (2021). Experimental investigation into tool wear, cutting forces and resulting surface finish during dry and flood coolant slot milling of Inconel 718. Procedia Manufacturing, 53, 236-245. https//doi.org/10/1016/j.promfg.2021.06.026

Keshavarz-Ghorabaee, M., Zavadskas, E. K., Olfat, L., &Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451. https://doi.org/10.15388/informatica.2015.57

Kumar S.T.P., Prasad H. P.T.. (2021). Investigate the effect of nano cutting fluid and cutting parameters under minimum quantity lubrication (MQL) on surface roughness in turning of DSS-2205. Materials Today: Proceedings, 43(6), 3643-3649. https://doi.org/10.1016.j.matpr.2020.09.834

Kumar A., Bhardwaj. R., Joshi S.S. (2022). Thermal analysis of drilling in titanium under flood and cryogenic cooling using coupled CFD and FEM. Journal of Manufacturing Processes, 81, 605-623. https://doi.org/10.1016/j.jampro.2022.06.075

Li M., Yu T., Yang L., Li H., Zhang R., Wang W. (2019). Parameter optimization during minimum quantity lubrication milling of TC4 alloy with graphene-dispersed vegetable-oil based cutting fluid. Journal of Cleaner Production, 209, 1508-1522. https:/doi.org/10.1016/j.jclepro.2018.11.147

Maruda R.W., Arkusz K., Szczotkarz N., Wojciechowski S., Nieslony P., Krolczyk G.M. (2023a). Analysis of size and concentration of nanoparticles contained in cutting fluid during turning of 316L steel in minimum quantity lubrication conditions. Journal of Manufacturing Processes, 87, 106-122. https://doi.org/10.1016/j.jmapro.2022.12.065

Mallick R., Khatai S., Kumar R., Panda A., Sahoo A. K., Mishra R.R. (2023). Comparison of single nozzle and dual nozzle MQL performance in hardened steel turning: A case study. Materials Today: Proceedings, https://doi.org/10.1016/j.matpr.2023.10.022

Maruda R.W., Szczotkarz N., Michalsk M., Arkusz K., Wojciechowski S., Niestony P., Khanna N., Knolczyk G.M. (2023b). Evaluation of tool wear during turning of Ti6Al4V alloy applying MQL technique with Cu nanoparticles diversified in terms of size. Wear, 532-533, Article.205111. https://doi.org/wr1016/j.wear.2023.205111

Revuru R.S., Pasam V. KeySyed I., Paliwal U.K. (2018). Development of finite element based model for performance evaluation of nano cutting fluids in minimum quantity lubrication. CIRP Journal of Manufacturing Science and Technology, 21, 75-85. https://doi.org/10.1016/j.cirpj.2018.02.005

Sankar M.R., Choudhury S.K. (2015). Experimental Study and modelling of machining with dry compressed air, flood and minimum quantity cutting fluid cooling techniques. Procedia CIRP, 31, 228-233. https://doi.org/10.1016/j.procir.2015.04.089

Sharma A., Kumar R. (2021). Potential use of minimum quantity lubrication (MQL) in machining of biocompatible materials using environment friendly cutting fluids “An overview. Materials Today: Proceedings, 45(6), 5315-5319 https://doi.org/10.1016/j.matpr.2021.01.904

Sonawane P.R., Bhanagle J.H., Thakur S.V., Koli B.R., Dole N.B., Kolambe C., Barjibhe R.B. (2022). Analysis of cutting fluid on minimum quantity lubrication by using vegetable oil. Materials Today: Proceeding, 68(6), 2435-2442. https://doi.org/10/1016/j.matpr.2022.09.144