Research article Topical Sections

Performance evaluation of hybrid biodegradable oils as a lubricant during cylindrical turning of AISI 304 austenitic stainless steel

  • Received: 12 August 2023 Revised: 07 January 2024 Accepted: 17 January 2024 Published: 07 March 2024
  • In the engineering sector, machining plays a significant role. The ability of the cutting zone to dissipate heat has grown in importance for the machining industry’s sustainability. Government legislation is pushing the industry to use fewer conventional lubricants as concerns about the effects on the environment and human health grow. This shifts attention to Minimum Quantity Lubrication (MQL) and biodegradable oils. The purpose of this study is to show how well two vegetable oils, in their raw forms, perform as cutting fluids during the MQL turning process of AISI 304 stainless steel. Each vegetable oil’s physiochemical and lubricating qualities were examined separately. After that, the two oils that comprised the hybrid vegetable oil were blended at a ratio of 0.5:0.5. During machining with an external threading tool, the hybrid vegetable oil was compared to its equivalent mineral-based oil in terms of cutting temperature and surface roughness. The Taguchi L9 orthogonal array was used in the study. According to the data, the cutting temperature was lowest when cutting with mineral oil, and highest when cutting with a hybrid mixture. In general, the mineral oil produced a reduced surface roughness compared to the vegetable oil mixture by about 68.6%. The combo of palm kernel and yellow orleander oil marginally outperformed mineral by about 2.3% when it came to cutting temperature. The significance of this study is to develop a more sustainable and environmentally friendly lubricants for industrial applications.

    Citation: Rasaq Kazeem, Tien-Chien Jen, Godwin Akande, Stephen Akinlabi, Esther Akinlabi. Performance evaluation of hybrid biodegradable oils as a lubricant during cylindrical turning of AISI 304 austenitic stainless steel[J]. AIMS Materials Science, 2024, 11(2): 256-294. doi: 10.3934/matersci.2024015

    Related Papers:

  • In the engineering sector, machining plays a significant role. The ability of the cutting zone to dissipate heat has grown in importance for the machining industry’s sustainability. Government legislation is pushing the industry to use fewer conventional lubricants as concerns about the effects on the environment and human health grow. This shifts attention to Minimum Quantity Lubrication (MQL) and biodegradable oils. The purpose of this study is to show how well two vegetable oils, in their raw forms, perform as cutting fluids during the MQL turning process of AISI 304 stainless steel. Each vegetable oil’s physiochemical and lubricating qualities were examined separately. After that, the two oils that comprised the hybrid vegetable oil were blended at a ratio of 0.5:0.5. During machining with an external threading tool, the hybrid vegetable oil was compared to its equivalent mineral-based oil in terms of cutting temperature and surface roughness. The Taguchi L9 orthogonal array was used in the study. According to the data, the cutting temperature was lowest when cutting with mineral oil, and highest when cutting with a hybrid mixture. In general, the mineral oil produced a reduced surface roughness compared to the vegetable oil mixture by about 68.6%. The combo of palm kernel and yellow orleander oil marginally outperformed mineral by about 2.3% when it came to cutting temperature. The significance of this study is to develop a more sustainable and environmentally friendly lubricants for industrial applications.



    加载中


    [1] Maruda RW, Krolczyk GM, Nieslony P, et al. (2016) The influence of the cooling conditions on the cutting tool wear and the chip formation mechanism. J Manuf Process 24: 107–115. https://doi.org/10.1016/j.jmapro.2016.08.006 doi: 10.1016/j.jmapro.2016.08.006
    [2] Zhu D, Zhang X, Ding H (2013) Tool wear characteristics in machining of nickel-based superalloys. Int J Mach Tool Manu 64: 60–77. https://doi.org/10.1016/j.ijmachtools.2012.08.001 doi: 10.1016/j.ijmachtools.2012.08.001
    [3] Kishawy HA, Hosseini A (2019) Machining Difficult-to-Cut Materials, Switzerland: Springer Cham. https://doi.org/10.1007/978-3-319-95966-5
    [4] Abukhshim NA, Mativenga PT, Sheikh MA (2006). Heat generation and temperature prediction in metal cutting: A review and implications for high-speed machining. Int J Mach Tool Manu 46: 782–800. https://doi.org/10.1016/j.ijmachtools.2005.07.024 doi: 10.1016/j.ijmachtools.2005.07.024
    [5] Wang B, Liu Z, Su G, et al. (2015) Investigations of critical cutting speed and ductile-to-brittle transition mechanism for workpiece material in ultra-high speed machining. Int J Mech Sci 104: 44–59. https://doi.org/10.1016/j.ijmecsci.2015.10.004 doi: 10.1016/j.ijmecsci.2015.10.004
    [6] Prasad YVRK, Seshacharyulu TJMR (1998) Modelling of hot deformation for microstructural control. Int Mater Rev 43: 243–258. https://doi.org/10.1179/imr.1998.43.6.243 doi: 10.1179/imr.1998.43.6.243
    [7] Fonda RW, Bingert JF (2004) Microstructural evolution in the heat-affected zone of a friction stir weld. Metall Mater Trans A 35: 1487–1499. https://doi.org/10.1007/s11661-004-0257-7 doi: 10.1007/s11661-004-0257-7
    [8] Kini MV, Chincholkar AM (2010) Effect of machining parameters on surface roughness and material removal rate in finish turning of ±30 glass fibre reinforced polymer pipes. Mater Design 31: 3590–3598. https://doi.org/10.1016/j.matdes.2010.01.013 doi: 10.1016/j.matdes.2010.01.013
    [9] Moganapriya C, Rajasekar R, Ponappa K, et al. (2018) Influence of coating material and cutting parameters on surface roughness and material removal rate in turning process using Taguchi method. Mater Today Proc 5: 8532–8538. https://doi.org/10.1016/j.matpr.2017.11.550 doi: 10.1016/j.matpr.2017.11.550
    [10] Daniyan IA, Tlhabadira I, Daramola OO, et al. (2019) Design and optimization of machining parameters for effective AISI P20 removal rate during milling operation. Procedia CIRP 84: 861–867. https://doi.org/10.1016/j.procir.2019.04.301 doi: 10.1016/j.procir.2019.04.301
    [11] Okokpujie IP, Ohunakin OS, Bolu CA (2021) Multi-objective optimization of machining factors on surface roughness, material removal rate and cutting force on end-milling using MWCNTs nano-lubricant. Prog Addit Manuf 6: 155–178. https://doi.org/10.1007/s40964-020-00161-3 doi: 10.1007/s40964-020-00161-3
    [12] Cakir AK (2021) Analysis of surface roughness, sound level and machine current in the turning of hardened AISI S1 steel. Trans Indian Inst Met 74: 691–703. https://doi.org/10.1007/s12666-021-02196-8 doi: 10.1007/s12666-021-02196-8
    [13] Tekıner Z, Yeşılyurt S (2004) Investigation of the cutting parameters depending on process sound during turning of AISI 304 austenitic stainless steel. Mater Design 25: 507–513. https://doi.org/10.1016/j.matdes.2003.12.011 doi: 10.1016/j.matdes.2003.12.011
    [14] Şahinoğlu A, Güllü A (2020) Investigation of the relationship between current, sound intensity, vibration and surface roughness in machining of CuZn39Pb3 material on lathe machine. J Polytech 23: 615–624. http://doi.org/10.2339/politeknik.426106 doi: 10.2339/politeknik.426106
    [15] Fedai Y (2023) Exploring the impact of the turning of AISI 4340 steel on tool wear, surface roughness, sound intensity, and power consumption under dry, MQL, and nano-MQL conditions. Lubricants 11: 442. https://doi.org/10.3390/lubricants11100442 doi: 10.3390/lubricants11100442
    [16] Rafighi M, Özdemir M, Şahinoğlu A, et al. (2022) Experimental assessment and topsis optimization of cutting force, surface roughness, and sound intensity in hard turning of AISI 52100 steel. Surf Rev Lett 29: 2250150. https://doi.org/10.1142/S0218625X22501505 doi: 10.1142/S0218625X22501505
    [17] Mia M, Dey PR, Hossain MS, et al. (2018) Taguchi S/N based optimization of machining parameters for surface roughness, tool wear and material removal rate in hard turning under MQL cutting condition. Measurement 122: 380–391. https://doi.org/10.1016/j.measurement.2018.02.016 doi: 10.1016/j.measurement.2018.02.016
    [18] Kazeem RA, Fadare DA, Ikumapayi OM, et al. (2022) Advances in the application of vegetable-oil-based cutting fluids to sustainable machining operations—a review. Lubricants 10: 69. https://doi.org/10.3390/lubricants10040069 doi: 10.3390/lubricants10040069
    [19] Yin Q, Li C, Dong L, et al. (2021) Effects of physicochemical properties of different base oils on friction coefficient and surface roughness in MQL milling AISI 1045. Int J Pr Eng Man-GT 8: 1629–1647. https://doi.org/10.1007/s40684-021-00318-7 doi: 10.1007/s40684-021-00318-7
    [20] Sharma J, Sidhu BS (2014) Investigation of effects of dry and near dry machining on AISI D2 steel using vegetable oil. J Clean Prod 66: 619–623. https://doi.org/10.1016/j.jclepro.2013.11.042 doi: 10.1016/j.jclepro.2013.11.042
    [21] Kuram E, Ozcelik B, Demirbas E, et al. (2011) Evaluation of new vegetable-based cutting fluids on thrust force and surface roughness in drilling of AISI 304 using Taguchi method. Mater Manuf Process 26: 1136–1146. https://doi.org/10.1080/10426914.2010.536933 doi: 10.1080/10426914.2010.536933
    [22] Xavior MA, Adithan M (2009) Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel. J Mater Process Technol 209: 900–909. https://doi.org/10.1016/j.jmatprotec.2008.02.068 doi: 10.1016/j.jmatprotec.2008.02.068
    [23] Bai X, Zhou F, Li C, et al. (2020) Physicochemical properties of degradable vegetable-based oils on minimum quantity lubrication milling. Int J Adv Manuf Technol 106: 4143–4155. https://doi.org/10.1007/s00170-019-04695-x doi: 10.1007/s00170-019-04695-x
    [24] Saleem MQ, Mehmood A (2022) Eco-friendly precision turning of superalloy Inconel 718 using MQL based vegetable oils: Tool wear and surface integrity evaluation. J Manuf Process 73: 112–127. https://doi.org/10.1016/j.jmapro.2021.10.059 doi: 10.1016/j.jmapro.2021.10.059
    [25] Shankar S, Manikandan M, Raja G, et al. (2020) Experimental investigations of vibration and acoustics signals in milling process using kapok oil as cutting fluid. Mech Ind 21: 521. https://doi.org/10.1051/meca/2020066 doi: 10.1051/meca/2020066
    [26] Sen B, Gupta MK, Mia M, et al. (2021). Performance assessment of minimum quantity castor-palm oil mixtures in hard-milling operation. Materials 14: 198. https://doi.org/10.3390/ma14010198 doi: 10.3390/ma14010198
    [27] Kazeem RA, Fadare DA, Abutu J, et al. (2020) Performance evaluation of jatropha oil-based cutting fluid in turning AISI 1525 steel alloy. CIRP J Manuf Sci Tec 31: 418–430. https://doi.org/10.1016/j.cirpj.2020.07.004 doi: 10.1016/j.cirpj.2020.07.004
    [28] Baderna D, Lomazzi E, Passoni A, et al. (2015) Chemical characterization and ecotoxicity of three soil foaming agents used in mechanized tunneling. J Hazard Mater 296: 210–220. https://doi.org/10.1016/j.jhazmat.2015.04.040 doi: 10.1016/j.jhazmat.2015.04.040
    [29] Alaba ES, Kazeem RA, Adebayo AS, et al. (2023) Evaluation of palm kernel oil as cutting lubricant in turning AISI 1039 steel using Taguchi-grey relational analysis optimization technique. Adv Ind Manuf Eng 6: 100115. https://doi.org/10.1016/j.aime.2023.100115 doi: 10.1016/j.aime.2023.100115
    [30] Ikumapayi OM, Kazeem RA, Ogedengbe TS, et al. (2023) Performance evaluation of African star seed (chrysophyllum albidum) oil as a cutting lubricant in milling of ASTM A36 steel. Adv Mater Process Te 1–15. https://doi.org/10.1080/2374068X.2023.2192391 doi: 10.1080/2374068X.2023.2192391
    [31] Kazeem RA, Enobun IO, Akande IG, et al. (2023) Evaluation of palm kernel oil as lubricants in cylindrical turning of AISI 304 austenitic stainless steel using Taguchi-grey relational methodology. Mater Res Express 10: 126505. https://doi.org/10.1088/2053-1591/ad11fe doi: 10.1088/2053-1591/ad11fe
    [32] Abegunde PO, Kazeem RA, Akande IG, et al. (2023) Performance assessment of some selected vegetable oils as lubricants in turning of AISI 1045 steel using a Taguchi-based grey relational analysis approach. Tribol-Mater Surf In 17: 187–202. https://doi.org/10.1080/17515831.2023.2235227 doi: 10.1080/17515831.2023.2235227
    [33] Said Z, Gupta M, Hegab H, et al. (2019) A comprehensive review on minimum quantity lubrication (MQL) in machining processes using nano-cutting fluids. Int J Adv Manuf Tech 105: 2057–2086. https://doi.org/10.1007/s00170-019-04382-x doi: 10.1007/s00170-019-04382-x
    [34] Tazehkandi AH, Shabgard M, Pilehvarian F (2015) On the feasibility of a reduction in cutting fluid consumption via spray of biodegradable vegetable oil with compressed air in machining Inconel 706. J Clean Prod 104: 422–435. https://doi.org/10.1016/j.jclepro.2015.05.039 doi: 10.1016/j.jclepro.2015.05.039
    [35] Sarıkaya M, Gupta MK, Tomaz I, et al. (2021) A state-of-the-art review on tool wear and surface integrity characteristics in machining of superalloys. CIRP J Manuf Sci Tec 35: 624–658. https://doi.org/10.1016/j.cirpj.2021.08.005 doi: 10.1016/j.cirpj.2021.08.005
    [36] Usca UA, Uzun M, Kuntoğlu M, et al. (2021) Investigations on tool wear, surface roughness, cutting temperature, and chip formation in machining of Cu-B-CrC composites. Int J Adv Manuf Tech 116: 3011–3025. https://doi.org/10.1007/s00170-021-07670-7 doi: 10.1007/s00170-021-07670-7
    [37] Liu D, Liu Z, Zhao J, et al. (2022) Tool wear monitoring through online measured cutting force and cutting temperature during face milling Inconel 718. Int J Adv Manuf Tech 122: 729–740. https://doi.org/10.1007/s00170-022-09950-2 doi: 10.1007/s00170-022-09950-2
    [38] 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 Process Technol 276: 116417. https://doi.org/10.1016/j.jmatprotec.2019.116417 doi: 10.1016/j.jmatprotec.2019.116417
    [39] Yasir M, Danish M, Mia M, et al. (2021). Investigation into the surface quality and stress corrosion cracking resistance of AISI 316L stainless steel via precision end-milling operation. Int J Adv Manuf Tech 112: 1065–1076. https://doi.org/10.1007/s00170-020-06413-4 doi: 10.1007/s00170-020-06413-4
    [40] Hegab H, Umer U, Soliman M, et al. (2018) Effects of nano-cutting fluids on tool performance and chip morphology during machining Inconel 718. Int J Adv Manuf Tech 96: 3449–3458. https://doi.org/10.1007/s00170-018-1825-0 doi: 10.1007/s00170-018-1825-0
    [41] Liew PJ, Shaaroni A, Sidik NAC, et al. (2017) An overview of current status of cutting fluids and cooling techniques of turning hard steel. Int J Heat Mass Tran 114: 380–394. https://doi.org/10.1016/j.ijheatmasstransfer.2017.06.077 doi: 10.1016/j.ijheatmasstransfer.2017.06.077
    [42] Aramesh M, Montazeri S, Veldhuis SC (2018) A novel treatment for cutting tools for reducing the chipping and improving tool life during machining of Inconel 718. Wear 414: 79–88. https://doi.org/10.1016/j.wear.2018.08.002 doi: 10.1016/j.wear.2018.08.002
    [43] Debnath S, Reddy MM, Yi QS (2016) Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method. Measurement 78: 111–119. https://doi.org/10.1016/j.measurement.2015.09.011 doi: 10.1016/j.measurement.2015.09.011
    [44] Nasirudeen AR, Lasisi D, Balogun LA (2019) Physico-chemical properties of yellow oleander (Thevetia peruviana) and their effects on the qualities of biodiesel. Arid Zone J Eng Tech Env 15: 859–866. Available from: https://www.azojete.com.ng/index.php/azojete/article/view/140.
    [45] Bachchhav B, Bagchi H (2021) Effect of surface roughness on friction and lubrication regimes. Mater Today Proc 38: 169–173. https://doi.org/10.1016/j.matpr.2020.06.252 doi: 10.1016/j.matpr.2020.06.252
    [46] Oliaei SNB, Karpat Y (2016) Investigating the influence of built-up edge on forces and surface roughness in micro scale orthogonal machining of titanium alloy Ti6Al4V. J Mater Process Technol 235: 28–40. https://doi.org/10.1016/j.jmatprotec.2016.04.010 doi: 10.1016/j.jmatprotec.2016.04.010
    [47] Meddour I, Yallese MA, Khattabi R (2015) Investigation and modeling of cutting forces and surface roughness when hard turning of AISI 52100 steel with mixed ceramic tool: Cutting conditions optimization. Int J Adv Manuf Tech 77: 1387–1399. https://doi.org/10.1007/s00170-014-6559-z doi: 10.1007/s00170-014-6559-z
    [48] Mikolajczyk T (2014) Modeling of minimal thickness cutting layer influence on surface roughness in turning. Appl Mech Mater 656: 262–269. https://doi.org/10.4028/www.scientific.net/AMM.656.262 doi: 10.4028/www.scientific.net/AMM.656.262
    [49] Akhtar W, Sun J, Chen W (2016) Effect of machining parameters on surface integrity in high speed milling of super alloy GH4169/Inconel 718. Mater Manuf Process 31: 620–627. https://doi.org/10.1080/10426914.2014.994769 doi: 10.1080/10426914.2014.994769
    [50] Uddin MS, Rosman H, Hall C (2017) Enhancing the corrosion resistance of biodegradable Mg-based alloy by machining-induced surface integrity: Influence of machining parameters on surface roughness and hardness. Int J Adv Manuf Tech 90: 2095–2108. https://doi.org/10.1007/s00170-016-9536-x doi: 10.1007/s00170-016-9536-x
    [51] Su G, Xiao X, Du J (2020). On cutting temperatures in high and ultrahigh-speed machining. Int J Adv Manuf Tech 107: 73–83. https://doi.org/10.1007/s00170-020-05054-x doi: 10.1007/s00170-020-05054-x
    [52] Zhang X, Peng Z, Li Z, et al. (2020) Influences of machining parameters on tool performance when high-speed ultrasonic vibration cutting titanium alloys. J Manuf Process 60: 188–199. https://doi.org/10.1016/j.jmapro.2020.10.053 doi: 10.1016/j.jmapro.2020.10.053
    [53] Kartal F, Yerlikaya Z, Okkaya H (2017) Effects of machining parameters on surface roughness and macro surface characteristics when the machining of Al-6082 T6 alloy using AWJT. Measurement 95: 216–222. https://doi.org/10.1016/j.measurement.2016.10.007 doi: 10.1016/j.measurement.2016.10.007
    [54] Diniardi E, Yudistirani SA, Basri H, et al. (2021) Analysis of the effect of cutting variables against surface hardness. J Appl Sci Adv Tech 3: 81–88. https://doi.org/10.24853/jasat.3.3.81-88 doi: 10.24853/jasat.3.3.81-88
    [55] Pang X, Zhang Y, Wang C, et al. (2020) Effect of cutting parameters on cutting force and surface quality in cutting of articular cartilage. Procedia CIRP 89: 116–121. https://doi.org/10.1016/j.procir.2020.05.127 doi: 10.1016/j.procir.2020.05.127
    [56] Majak D, Olugu EU, Lawal SA (2020) Analysis of the effect of sustainable lubricants in the turning of AISI 304 stainless steel. Procedia Manuf 43: 495–502. https://doi.org/10.1016/j.promfg.2020.02.183 doi: 10.1016/j.promfg.2020.02.183
    [57] Xavior MA, Adithan M (2009) Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel. J Mater Process Technol 209: 900–909. https://doi.org/10.1016/j.jmatprotec.2008.02.068 doi: 10.1016/j.jmatprotec.2008.02.068
    [58] Sarıkaya M, Yılmaz V, Gullu A (2016) Analysis of cutting parameters and cooling/lubrication methods for sustainable machining in turning of Haynes 25 superalloy. J Clean Prod 133: 172–181. https://doi.org/10.1016/j.jclepro.2016.05.122 doi: 10.1016/j.jclepro.2016.05.122
    [59] Manjunath K, Tewary S, Khatri N, et al. (2021) Monitoring and predicting the surface generation and surface roughness in ultraprecision machining: A critical review. Machines 9: 369. https://doi.org/10.3390/machines9120369 doi: 10.3390/machines9120369
    [60] Chakraborty P, Asfour S, Cho S, et al. (2008) Modeling tool wear progression by using mixed effects modeling technique when end-milling AISI 4340 steel. J Mater Process Technol 205: 190–202. https://doi.org/10.1016/j.jmatprotec.2007.11.197 doi: 10.1016/j.jmatprotec.2007.11.197
    [61] Flynn JM, Shokrani A, Newman ST, et al. (2016) Hybrid additive and subtractive machine tools—Research and industrial developments. Int J Mach Tool Manu 101: 79–101. https://doi.org/10.1016/j.ijmachtools.2015.11.007 doi: 10.1016/j.ijmachtools.2015.11.007
    [62] Dabees S, Mirzaei S, Kaspar P, et al. (2022) Characterization and evaluation of engineered coating techniques for different cutting tools. Materials 15: 5633. https://doi.org/10.3390/ma15165633 doi: 10.3390/ma15165633
    [63] Yeganefar A, Niknam SA, Asadi R (2019) The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling. Int J Adv Manuf Technol 105: 951–965. https://doi.org/10.1007/s00170-019-04227-7 doi: 10.1007/s00170-019-04227-7
    [64] Praveen N, Mallik US, Shivasiddaramaiah AG, et al. (2023) Effect of CNC end milling parameters on Cu-Al-Mn ternary shape memory alloys using Taguchi method. J Inst Eng India Ser D https://doi.org/10.1007/s40033-023-00579-3 doi: 10.1007/s40033-023-00579-3
    [65] Guo Y, Yang X, Kang J, et al. (2022) Ductile machining of single-crystal germanium for freeform surfaces diamond turning based on a long-stroke fast tool servo. J Manuf Process 82: 615–627. https://doi.org/10.1016/j.jmapro.2022.08.013 doi: 10.1016/j.jmapro.2022.08.013
    [66] Patange AD, Jegadeeshwaran R (2021) Review on tool condition classification in milling: A machine learning approach. Mater Today Proc 46: 1106–1115. https://doi.org/10.1016/j.matpr.2021.01.523 doi: 10.1016/j.matpr.2021.01.523
    [67] Saglam H, Yaldiz S, Unsacar F (2007) The effect of tool geometry and cutting speed on main cutting force and tool tip temperature. Mater Design 28: 101–111. https://doi.org/10.1016/j.matdes.2005.05.015 doi: 10.1016/j.matdes.2005.05.015
    [68] Sheikh-Ahmad JY, Almaskari F, Hafeez F (2019) Thermal aspects in machining CFRPs: Effect of cutter type and cutting parameters. Int J Adv Manuf Tech 100: 2569–2582. https://doi.org/10.1007/s00170-018-2881-1 doi: 10.1007/s00170-018-2881-1
    [69] Käsemodel RB, De Souza AF, Voigt R, et al. (2020) CAD/CAM interfaced algorithm reduces cutting force, roughness, and machining time in free-form milling. Int J Adv Manuf Tech 107: 1883–1900. https://doi.org/10.1007/s00170-020-05143-x doi: 10.1007/s00170-020-05143-x
    [70] Safiei W, Rahman MM, Yusoff AR, et al. (2021) Effects of SiO2-Al2O3-ZrO2 tri-hybrid nanofluids on surface roughness and cutting temperature in end milling process of aluminum alloy 6061-T6 using uncoated and coated cutting inserts with minimal quantity lubricant method. Arab J Sci Eng 46: 7699–7718. https://doi.org/10.1007/s13369-021-05533-7 doi: 10.1007/s13369-021-05533-7
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(336) PDF downloads(94) Cited by(0)

Article outline

Figures and Tables

Figures(36)  /  Tables(7)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog