A Study of Chip Formation on Turning with Minimum Quantity Lubrication Method (MQL)
The cutting fluid is one of the essential factors in machining to increase machinability. The issuance of ISO 14000 about reducing the use of cutting fluid for its danger for operator and environment has encouraged many researchers to find ways to minimize its use. The Minimum Quantity Lubrication (MQL) is an answer to it. To further reduce the use of cutting fluid, a device that complies with MQL criteria for controlling the spray based on the tool temperature has successfully designed. This paper is discussing the effect of applying this device to the chips formation. The experiments were on turning of AISI 4340 using carbide tools. The Taguchi method L9 used to design the experiments. The variations made on the method of applying the cutting fluid, depth of cut, and cutting fluid composition. The chips formation was calculated based on the value of the degree of serration. Analysis of the S/N ratio, followed by ANOVA, revealed that the cutting fluids application method is the least factor affecting the chips formation. In contrast, the depth of cut influences the chips formation by 75 per cent more. The highest degree of serration achieved when applying the combination of depth of cut of 1.8 mm, the composition of 5:5, and flood method of applying cutting fluid.
S. K. Thangarasu, S. Shankar, A. Tony Thomas, and G. Sridhar, Prediction of Cutting Force in Turning Process-an Experimental Approach, IOP Conf. Ser. Mater. Sci. Eng., vol. 310, no. 1, 2018. DOI: https://doi.org/10.1088/1757-899X/310/1/012119
N. Boubekri and V. Shaikh, Minimum Quantity Lubrication (MQL) in Machining: Benefits and Drawbacks, J. Ind. Intell. Inf., vol. 3, no. 3, pp. 205–209, 2015. DOI: https://doi.org/10.12720/jiii.3.3.205-209
M. Li, T. Yu, L. Yang, H. Li, R. Zhang, and W. Wang, Parameter optimization during minimum quantity lubrication milling of TC4 alloy with graphene-dispersed vegetable-oil-based cutting fluid, J. Clean. Prod., vol. 209, pp. 1508–1522, 2019.
S. Albert, I. Ahmed, and Y. Nukman, A critical assessment of lubrication techniques in machining processes : a case for minimum quantity lubrication using vegetable oil-based lubricant, vol. 41, pp. 210–221, 2013. DOI: https://doi.org/10.1016/j.jclepro.2012.10.016
M. Nizamuddin, S. M. Agrawal, and N. Patil, The Effect of Karanja based Soluble Cutting Fluid on Chips Formation in Orthogonal Cutting Process of AISI 1045 Steel, Procedia Manuf., vol. 20, pp. 12–17, 2018. DOI: https://doi.org/10.1016/j.promfg.2018.02.002
W. L. R. Fernando, N. Sarmilan, K. C. Wickramasinghe, H. M. C. M. Herath, and G. I. P. Perera, Materials Today : Proceedings Experimental investigation of Minimum Quantity Lubrication ( MQL ) of coconut oil-based Metal Working Fluid, no. xxxx, 2019. DOI: https://doi.org/10.1016/j.matpr.2019.06.079
S. K. Ali, S.M., Dhar, N.R., Dey, Effect of Minimum Quantity Lubrication (Mql) on Cutting Performance in Turning Medium Carbon Steel By Uncoated Carbide Insert At Different Speed-Feed Combinations, Adv. Prod. Eng. Manag., vol. 6, no. 3, pp. 185–196, 2011.
S. B. Kedare, D. R. Borse, and P. T. Shahane, Effect of Minimum Quantity Lubrication (MQL) on Surface Roughness of Mild Steel of 15HRC on Universal Milling Machine, Procedia Mater. Sci., vol. 6, no. Icmpc, pp. 150–153, 2014. DOI: https://doi.org/10.1016/j.mspro.2014.07.018
E. A. Raheem and H. Dorairaju, Evaluation of mist flow characteristic and performance in minimum quantity lubrication (MQL) machining, Measurement, vol. 123, no. July, pp. 213–225, 2018. DOI: https://doi.org/10.1016/j.measurement.2018.03.015
S. Ekinovic, H. Prcanovic, and E. Begovic, Investigation of influence of MQL machining parameters on cutting forces during MQL turning of carbon steel St52-3, Procedia Eng., vol. 132, pp. 608–614, 2015. DOI: https://doi.org/10.1016/j.proeng.2015.12.538
S. Pervaiz, S. Pervaiz, A. Rashid, I. Deiab, and M. Nicolescu, Influence of Tool Materials on Machinability of Titanium- and Nickel-Based Alloys : A Review Influence of Tool Materials on Machinability of Titanium- and Nickel-Based Alloys : A Review, Mater. Manuf. Process., vol. 29, no. April 2014, pp. 37–41, 2014. DOI: https://doi.org/10.1080/10426914.2014.880460
G. G. S. Dinata, A. Z. Muttaqin, and M. Darsin, Rancang bangun dan uji performa sistem kendali pemberian fluida permesinan MQL berbasis arduino, Rekayasa Mesin, vol. 11, no. 1, pp. 97–104, 2020.
G. G. S. Dinata, Perancangan Sistem Kendali Pemberian Fluida Permesinan Berbasis MQL pada Mesin Bubut dan Analisis Performanya, Universitas Jember, 2019. DOI: https://doi.org/10.21776/ub.jrm.2020.011.01.11
M. Darsin, “Drillability Of Titanium 6246 From Chips Formation Perspective.”
M. Yasir, T. L. Ginta, B. Ariwahjoedi, M. Danish, and A. U. Alkali, Evaluation of chips formation of AISI 316L SS using precision end-milling, APRN J. Eng. Appl. Sciences, vol. 11, no. 22, pp. 12903–12907, 2016.
M. Darsin, D. Dwilaksana, T. Pasang, and Z. Chen, Study on effect of heat treatment on chips formation and forces in drilling titanium alloy 6Al-2Sn-4Zr-6Mo, 2019.
M. Darsin, T. Pasang, and Z. Chen, A Study on Serrated Chips Formation in Drilling Ti-6246, in 28th New Zealand Conference on Microscopy, 2017.
C. Duan and M. Wang, Microstructure and mechanism of adiabatic shear fracture during serrated chip formation of hard machining, J. Adv. Mech. Des. Syst. Manuf., vol. 8, no. 6, pp. 1–12, 2014. DOI: https://doi.org/10.1299/jamdsm.2014jamdsm0074
M. Darsin, T. Pasang, and Z. Chen, Drillability of Titanium 6246 Alloy, in Processing and Fabrication of Advanced Materials XXV, 2017, pp. 856–861.
M. N. Islam and A. Pramanik, Comparison of Design of Experiments via Traditional and Taguchi Method, J. Adv. Manuf. Syst., vol. 15, no. 3, pp. 151–160, 2016. DOI: https://doi.org/10.1142/S0219686716500116
N. Khanna and J. P. Davim, Design-of-experiments application in machining titanium alloys for aerospace structural components, vol. 61, pp. 280–290, 2015. DOI: https://doi.org/10.1016/j.measurement.2014.10.059
N. Khanna, Design of Experiments in Production Engineering, no. January. 2016.
M. Darsin, T. Pasang, and Z. Chen, Forces Perspective of Drillability of Titanium Alloy 6Al-2Sn-4Zr-6Mo, J. Energy, Mech. Mater. Manuf. Eng., vol. 3, no. 1, p. 23, Jun. 2018. DOI: https://doi.org/10.22219/jemmme.v3i1.5825
J. Zang, J. Zhao, A. Li, and J. Pang, Serrated chip formation mechanism analysis for machining of titanium alloy Ti-6Al-4V based on thermal property, Int. J. Adv. Manuf. Technol., vol. 98, no. 1–4, pp. 119–127, 2018. DOI: https://doi.org/10.1007/s00170-017-0451-6
M. H. Ali, B. A. Khidhir, B. Mohamed, and A. A. Oshkour, Investigation on Chip Formation during Machining Using Finite Element Investigation on Chip Formation during Machining Using Finite Element Modeling, no. April 2012. DOI: https://doi.org/10.4028/www.scientific.net/AMR.505.31
Clove oil nanoemulsion as an effective antibacterial agent : Taguchi optimization method Clove oil nanoemulsion as an effective antibacterial agent : Taguchi optimization method, no. November 2015, 2016.
M. C. Shaw, Mechanics of Saw-Tooth Chip Formation in Metal Cutting H I-, vol. 2, no. d, 2016.
N. R. Dhar, M. Kamruzzaman, and M. Ahmed, Effect of minimum quantity lubrication ( MQL ) on tool wear and surface roughness in turning AISI-4340 steel, vol. 172, pp. 299–304, 2006. DOI: https://doi.org/10.1016/j.jmatprotec.2005.09.022
T. Mabrouki et al., Comptes Rendus Mecanique Some insights on the modelling of chip formation and its morphology during metal cutting operations Hybrid Dynamic Cutting model, Comptes Rendus Mec., vol. 344, no. 4–5, pp. 335–354, 2016. DOI: https://doi.org/10.1016/j.crme.2016.02.003
S. Kalpakjian and S. Schmid, Manufacturing Engineering and Technology, 4th ed. Pearson, 2001.
D. A. Nugraha, R. D. H. Qoryah, and M. Darsin, Pengaruh Metode Minimum Quantity Lubrication ( MQL ) terhadap Nilai Kekasaran Permukaan (Effect of Minimum Quantity Lubrication (MQL) Method on Surface Roughness), Rekayasa J. Sci. Technol., vol. 13, no. 2, pp. 125–129, 2020.
M. A. Mohd Zakaria, R. I. Raja Abdullah, M. S. Kasim, and M. H. Ibrahim, Enhancing the Productivity of Wire Electrical Discharge Machining Toward Sustainable Production by using Artificial Neural Network Modelling, Emit. Int. J. Eng. Technol., vol. 7, no. 1, pp. 261–274, 2019. DOI: https://doi.org/10.24003/emitter.v7i1.365
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