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Evaluation of MQL performances using various nanofluids in turning of AISI 304 stainless steel

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Abstract

In recent years, the need for eco-friendly machining processes has increased dramatically in order to limit the excessive use of conventional cutting fluids, thereby reducing their negative effects on both the environment and the operator’s health. In this context, environmental alternatives such as dry cutting, minimum quantity lubrication (MQL), and nanofluid-assisted MQL have been demonstrated to be effective in overcoming this problem. In the present work, an attempt was made to improve the machining characteristics performance in turning of AISI 304 austenitic stainless steel (ASS) under dry, MQL and nanofluids, and hybrid nanofluid-assisted MQL conditions, with respect to surface roughness (Ra), main cutting force (Fc), and cutting temperature (T). The main purpose of this experimental study is to evaluate and compare the effect of dispersed nano-additives into the vegetable cutting fluid on the responses under consideration. As nano-additives, multi-walled carbon nanotube (MWCNT), nano molybdenum disulfide (MoS2), and nano graphene particles have been used. Additionally, the effects of lubricating conditions on flank wear (VB) were investigated. In the end, statistical analysis, regression modeling, and multi-criteria optimization based on desirability function were performed. The results revealed that the Ra, Fc, and T as well as VB were found to be lower with the use of nano graphene-reinforced nanofluid-assisted MQL followed by nano graphene/MoS2-reinforced hybrid nanofluid-assisted MQL, MWCNT/MoS2-reinforced hybrid nanofluid-assisted MQL, MWCNT-reinforced nanofluid-assisted MQL, nano MoS2-reinforced nanofluid-assisted MQL, and MQL, respectively, as compared to dry condition. Finally, it is worth mentioning that the nano graphene has the capability to perform as a lubricant/coolant, thus contributing positively to the turning process.

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Abbreviations

Vc:

Cutting speed (m/min)

f:

Feed (mm/rev)

ap:

Depth of cut (mm)

Ra:

Surface roughness (μm)

Fc:

Cutting force (N)

T:

Cutting temperature (°C)

VB:

Flank wear (μm)

MQL:

Minimum quantity lubrication

MoS2 :

Molybdenum disulfide

MWCNT:

Multi-walled carbon nanotube

LC:

Lubricating conditions

MoS2-MQL:

Nano MoS2-reinforced nanofluid-assisted MQL

MWCNT-MQL:

MWCNT-reinforced nanofluid-assisted MQL

Graphene-MQL:

Nano graphene-reinforced nanofluid-assisted MQL

Hybrid-1-MQL:

MWCNT/MoS2-reinforced hybrid nanofluid-assisted MQL

Hybrid-2-MQL:

Graphene/MoS2-reinforced hybrid nanofluid-assisted MQL

ANOVA:

Analysis of variance

PC:

Percentage of contribution (%)

DF:

Desirability function

ASS:

Austenitic stainless steel

References

  1. Mia M, Gupta MK, Singh G, Krolczyk G, Pimenov DY (2018) An approach to cleaner production for machining hardened steel using different cooling-lubrication conditions. J Clean Prod 187:1069–1081

    Article  Google Scholar 

  2. Ali MAM, Azmi AI, Murad MN, Zain MZM, Khalil ANM, Shuaib NA (2020) Roles of new bio-based nanolubricants towards eco-friendly and improved machinability of Inconal 718 alloys. Tribol Int 144:106106

    Article  Google Scholar 

  3. Yildirim CV, Kivak T, Sarikaya M, Erzincanli F (2017) Determination of MQL parameters contributing to sustainable machining in the milling of nickel-base superalloy waspaloy. Arab J Sci Eng 42:4667–4681

    Article  Google Scholar 

  4. Sen B, Hussain SAI, Mia M, Mandal UK, Mondal SP (2019) Selection of an ideal MQL-assisted milling condition: an NSGA-II-coupled TOPSIS approach for improving machinability of Inconel 690. Int J Adv Manuf Technol 103:1811–1829

    Article  Google Scholar 

  5. Nouioua M, Yallese MA, Khettabi R, Belhadi S, Mabrouki T (2017) Comparative assessment of cooling conditions, including MQL technology on machining factors in an environmentally friendly approach. Int J Manuf Technol 91:3079–3094

    Article  Google Scholar 

  6. Yildirim CV, Kivak T, Erzincanli F (2019) Tool wear and surface roughness analysis in milling with ceramic tools of Waspaloy: a comparison of machining performance with different cooling methods. J Braz Soc Mech Sci Eng 41:83

    Article  Google Scholar 

  7. Sarikaya M, Güllü A (2015) Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25. J Clean Prod 91:347–357

    Article  Google Scholar 

  8. Elbah M, Laouici H, Benlahmidi S, Nouioua M, Yallese MA (2019) Comparative assessment of machining environments (dry, wet and MQL) in hard turning of AISI 4140 steel with CC6050 tools. Int J Manuf Technol 105:2581–2597

    Article  Google Scholar 

  9. Li KM, Lin CP (2012) Study on minimum quantity lubrication in micro-grinding. Int J Adv Manuf Technol 62:99–105

    Article  Google Scholar 

  10. Singh G, Pruncu CI, Gupta MK, Mia M, Khan AM, Jamil M, Pimenov DY, Sen B, Sharma VS (2019) Investigations of machining characteristics in the upgraded MQL-assisted turning of pure titanium alloys using evolutionary algorithms. Materials 19:999

    Article  Google Scholar 

  11. Bedi SS, Behera GC, Datta S (2020) Effects of cutting speed on MQL machining performance of AISI 304 stainless steel using uncoated carbide insert: application potential of coconut oil and rice bran oil as cutting fluids. Arab J Sci Eng 45:8877–8893

    Article  Google Scholar 

  12. Rajaguru J, Arunachalam N (2020) A comprehensive investigation on the effect of flood and MQL coolant on the machinability and stress corrosion cracking of super duplex stainless steel. J Mater Proces Tech 276:116417

    Article  Google Scholar 

  13. Uysal A (2016) Investigation of flank wear in MQL milling of ferritic stainless steel by using nano graphene reinforced vegetable cutting fluid. Indus Lub Tribology 68(4):446–451

    Article  Google Scholar 

  14. Uysal A (2017) An experimental study on cutting temperature and burr in milling of ferritic stainless steel under MQL using nano graphene reinforced cutting fluid. Adv Mat Pro 2(9):560–563

    Google Scholar 

  15. Krolczyk GM, Maruda RW, Krolczyk JB, Wojciechowski S, Mia M, Nieslony P, Budzik G (2019) Ecological trends in machining as a key factor in sustainable production- a review. J Clean Prod 218:601–615

    Article  Google Scholar 

  16. Gupta MK, Jamil M, Wang X, Song Q, Liu Z, Mia M, Hegab H, Khan AM, Collado AG, Pruncu CI, Shah Imran GM (2019) Performance evaluation of vegetable oil-based nano-cutting fluids in environmentally friendly machining of Inconel-800 Alloy. Materials 12:2792

    Article  Google Scholar 

  17. Sharma AK, Tiwari AK, Dixit AR (2016) Effects of minimum quantity lubrication (MQL) in machining processes using conventional and nanofluid based cutting fluids: a review. J Clean Prod 127:1–18

    Article  Google Scholar 

  18. Sharma AK, Singh RK, Dixit AR, Tiwari AK (2016) Characterization and experimental investigation of Al2O3 nanoparticle based cutting fluid in turning of AISI 1040 steel under minimum quantity lubrication (MQL). Mater Today Proc 3:1899–1906

    Article  Google Scholar 

  19. Jamil M, Khan AM, Hegab H, Gong L, Mia M, Gupta MK, He N (2019) Effects of hybrid Al2O3-CNT nanofluids and cryogenic cooling on machining of Ti-6Al-4V. Int J Adv Manuf Technol 102:3895–3909

    Article  Google Scholar 

  20. Hegab H, Umer U, Soliman M, Kishawy HA (2018) Effects on nano-cutting fluids on tool performance and chip morphology during machining Inconel 718. Inter J Adv Manuf Technol 96:3449–3458

    Article  Google Scholar 

  21. Das A, Kumar Patel S, Das SR (2019) Performance comparison of vegetable oil based nanofluids towards machinability improvement in hard turning of HSLA steel using minimum quantity lubrication. Mech Ind 20:506

    Article  Google Scholar 

  22. Öndin O, Kıvak T, Sarıkaya M, Yıldırım ÇV (2020) Investigation of the influence of MWCNTs mixed nanofluid on the machinability characteristics of PH 13-8 Mo stainless steel. Tribol Int 148:106323

    Article  Google Scholar 

  23. Uysal A, Demiren F, Altan E (2015) Applying minimum quantity lubrication (MQL) method on milling of martensitic stainless steel by using nano MoS2 reinforced vegetable cutting fluid. Procedia Soc Behav Sci 195:2742–2747

    Article  Google Scholar 

  24. Patole PB, Kulkarni VV (2018) Optimization of process parameters based on surface roughness and cutting force in MQL turning of AISI 4340 using nano fluid. Mater. Today Proc 5:104–112

    Google Scholar 

  25. Singh R, Dureja JS, Dogra M, Gupta MK, Mia M (2019) Influence of graphene-enriched nanofluids and textured tool on machining behavior of Ti-6Al-AV alloy. Inter J Adv Manuf Techno 105:1685–1697

    Article  Google Scholar 

  26. Sharma AK, Tiwari AK, Dixit AR, Rk S (2020) Measurement of machining force and surface roughness in turning of AISI 304 steel using alumina-MWCNT hybrid nanoparticles enriched cutting fluid. Measurement 150:107078

    Article  Google Scholar 

  27. Gugulothu S, Pasam VK (2020) Experimental investigation to study the performance of CNT/MoS2 hybrid nanofluid in turning of AISI 1040 steel. Aust J Mech Eng:1–11. https://doi.org/10.1080/14484846.2020.1756067

  28. Touggui Y, Belhadi S, Uysal A, Temmar M, Yallese MA (2021) A comparative study on performance of cermet and coated carbide inserts in straight tuning AISI 316L austenitic stainless steel. Inter J Adv Manuf Techno 112:241–260

    Article  Google Scholar 

  29. Singh RK, Dixit AR, Mandal A, Sharma AK (2017) Emerging application of nanoparticle-enriched cutting fluid in metal removal processes: a review. J Braz Soc Mech Sci Eng 39:4677–4717

    Article  Google Scholar 

  30. Yıldırım ÇV, Kıvak T, Sarıkaya M, Şirin Ş (2020) Evaluation of tool wear, surface roughness/topography and chip morphology when machining of Ni-based alloy 625 under MQL, cryogenic cooling and cryoMQL. J Mater Res Technol https://doi.org/10.1016/J.JMRT.201912.069

  31. Xu Y, Peng Y, Dearn KD, Zheng X, Yao L, Hu X (2015) Synergistic lubricating behaviors of graphene and MoS2 dispersed in esterified bio-oil for steel/steel contact. Wear 342-343:297–309

    Article  Google Scholar 

  32. Uysal A (2018) Effects of nano graphene particles on surface roughness and cutting temperature during MQL milling of AISI 430 stainless steel. Materials Testing 60(5):533–537

    Article  Google Scholar 

  33. Gunichenko O, Bushlya V, Zhou J, Stahl JE (2017) Tool wear and machining dynamics when turning high chromium white cast iron with pcBN tools. Wear 309:253–269

    Article  Google Scholar 

  34. Kulkarni AP, Joshi GG, Sargade VG (2013) Dry turning of AISI 304 austenitic stainless steel using AlTiCrN coated insert produced by HPPMS technique. Procedia Eng 64:737–746

    Article  Google Scholar 

  35. Pramanik A, Islam MN, Basak A, Littlefair G (2013) Machining and tool wear mechanisms during machining titanium alloys. Adv Mater Res 651:338–343

    Article  Google Scholar 

  36. Sharma AK, Katiyar JK, Bhaumik S, Roy S (2019) Influence of alumina/MWCNT hybrid nanoparticle additive on tribological properties of lubricants in turning operations. Friction 7(2):153–168

    Article  Google Scholar 

  37. Samuel J, Rafiee J, Dhiman P, Yu Z, Korartkar N (2011) Graphene colloidal suspensions as high performance semi-synthetic metal-working fluids. J Phys Chem C 115(8):3410–3415

    Article  Google Scholar 

  38. Sharma AK, Tiwari AK, Dixit AR, Singh RK, Singh M (2018) Novel use of alumina/graphene hybrid nanoparticle additives for improved tribological properties of lubricant in turning operation. Tribol Int 119:99–111

    Article  Google Scholar 

  39. Singh R, Dureja JS, Dogra M, Gupta MK, Mia M, Song Q (2020) Wear behavior of textured tools under graphene-assisted minimum quantity lubrication system in machining Ti-6Al-4V alloy. Tribology 145:106183

    Article  Google Scholar 

  40. Seid Ahmed Y, Youssef H, El-Hofy H et al (2018) Prediction and optimization of drilling parameters in drilling of AISI 304 and AISI 2205 steels with PVD monolayer and multilayer coated drills. J Manuf Mat Proces 2(1):1–16

    Google Scholar 

  41. Mia M, Dhar NR (2018) Modeling of surface roughness using RSM, FL and SA in dry hard turning. Arab J Sci Eng 43:1125–1136

    Article  Google Scholar 

  42. Mia M, Bashir MA, Khan MA, Dhar NR (2016) Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC40). Int J Adv Manuf Technol 2016:1–16

    Google Scholar 

  43. Mia M, Al Bashir M, Dhar NR (2016) Effects of cutting parameters and machining environment on surface roughness in hard turning using desgin of experiment. In AIP conference proceedings; AIP Publishing LLC: Melville, NY, USA 1754 60012

  44. Saidi R, Ben Fathallah B, Mabrouki T, Belhadi S, Yallese MA (2018) Modeling and optimization of the turning parameters of cobalt alloy (Stellite 6) based on RSM and desirability function. Int J Adv Manuf Technol 100:2945–2968

    Article  Google Scholar 

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Acknowledgements

The current research has been conducted at Yildiz Technical University’s laboratory, Turkey, in cooperation with Structures Research Laboratory (LS), University of Blida1. The authors would like to thank Professor Erhan Altan. Also, the authors are grateful to the General Directorate of Scientific Research and Technological Development (DGRSDT) Algeria, for their support.

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Y. Touggui and U. Emiroglu performed the turning experiments. Y. Touggui evaluates studies and wrote the draft. A. Uysal designed CNC turning experiments, edited the draft, and discussed the results. S. Belhadi reviewed the draft. M. Temmar supervised the team.

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Correspondence to Youssef Touggui.

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Touggui, Y., Uysal, A., Emiroglu, U. et al. Evaluation of MQL performances using various nanofluids in turning of AISI 304 stainless steel. Int J Adv Manuf Technol 115, 3983–3997 (2021). https://doi.org/10.1007/s00170-021-07448-x

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