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Optimization of cutting parameters with Taguchi and grey relational analysis methods in MQL-assisted face milling of AISI O2 steel

采用Taguchi 法和灰色关联分析法优化AISI O2 钢MQL 辅助面铣削的切削参数

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Abstract

This study aims to examine the usability of environmentally harmless vegetable oil in the minimum quantity of lubrication (MQL) system in face milling of AISI O2 steel and to optimize the cutting parameters by different statistical methods. Vegetable oil was preferred as cutting fluid, and Taguchi method was used in the preparation of the test pattern. After testing with the prepared test pattern, cutting performance in all parameters has been improved according to dry conditions thanks to the MQL system. The highest tool life was obtained by using cutting parameters of 7.5 m cutting length, 100 m/min cutting speed, 100 mL/h MQL flow rate and 0.1 mm/tooth feed rate. Optimum cutting parameters were determined according to the Taguchi analysis, and the obtained parameters were confirmed with the verification tests. In addition, the optimum test parameter was determined by applying the gray relational analysis method. After using ANOVA analysis according to the measured surface roughness and cutting force values, the most effective cutting parameter was observed to be the feed rate. In addition, the models for surface roughness and cutting force values were obtained with precisions of 99.63% and 99.68%, respectively. Effective wear mechanisms were found to be abrasion and adhesion.

摘要

摘要本文研究了对环境无害的植物油在AISI O2 钢面铣加工最小润滑量(MQL)系统中的可行性, 并 利用不同的统计方法对切削参数进行优化。用植物油作切削液, 试验模式采用Taguchi 法。测试结果 表明, 由于MQL 系统的存在, 在干燥条件下所有参数下的切削性能都得到了改善。在切削长度为 7.5 m, 切削速度为100 m/min, MQL 流量为100 m/h, 进给率0.1 mm/齿的条件下, 刀具寿命最长。 根据Taguchi 分析确定最佳切削参数, 并得到试验验证。此外, 还采用灰色关联分析法确定了最佳试 验参数。对测量的表面粗糙度和切削力进行方差分析, 发现最有效的切削参数是进给率。本研究还建 立了表面粗糙度和切削力的模型, 其精度分别为99.63%和99.68%。有效的磨损机制是磨损和黏附。

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References

  1. CHINCHANIKAR S, CHOUDHURY S K. Machining of hardened steel-Experimental investigations, performance modeling and cooling techniques: A review [J]. Int J Mach Tools Manuf, 2015; 89: 95–109. DOI: https://doi.org/10.1016/j.ijmachtools.2014.11.002.

    Article  Google Scholar 

  2. UMBRELLO D, PU Z, CARUSO S, OUTEIRO J C, JAYAL A D, DILLON O W. The effects of cryogenic cooling on surface integrity in hard machining [J]. Procedia Eng, 2011, 19: 371–376. DOI: https://doi.org/10.1016/j.proeng.2011.11.127.

    Article  Google Scholar 

  3. FOX-RABINOVICH G S, KOVALEV A I, AGUIRRE M H, BEAKE B D, YAMAMOTO K, VELDHUIS S C. Design and performance of AlTiN and TiAlCrN PVD coatings for machining of hard to cut materials [J]. Surf Coatings Technol, 2009, 204: 489–496. DOI: https://doi.org/10.1016/j.surfcoat.2009.08.021.

    Article  Google Scholar 

  4. ASILTURK I, AKKUS H. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method [J]. Meas J Int Meas Confed, 2011, 44: 1697–1704. DOI: https://doi.org/10.1016/j.measurement.2011.07.003.

    Google Scholar 

  5. GUTNICHENKO O, BUSHLYA V, BIHAGEN S, STAHL J E. Influence of GnP additive to vegetable oil on machining performance when MQL-assisted turning Alloy 718 [J]. Procedia Manuf, 2018, 25: 330–337. DOI: https://doi.org/10.1016/J.PROMFG.2018.06.091.

    Article  Google Scholar 

  6. KURSUNCU B, CALISKAN H, GUVEN S Y, PANJAN P. Wear behavior of multilayer nanocomposite TiAlSiN/TiSiN/TiAlN coated carbide cutting tool during face milling of inconel 718 superalloy [J]. J Nano Res, 2017, 47: 11–16. DOI: https://doi.org/10.4028/www.scientific.net/JNanoR.47.11.

    Article  Google Scholar 

  7. VEPREK S, HOLUBAR P, VEPREK-HEIJMAN M. Industrial applications of hard and superhard nanocomposite coatings on tools for machining, forming, stamping and injection molding [J]. Adv Mater Res, 2016, 1135: 218–233. DOI: https://doi.org/10.4028/www.scientific.net/AMR.1135.218.

    Article  Google Scholar 

  8. KAYNAK Y. Evaluation of machining performance in cryogenic machining of Inconel 718 and comparison with dry and MQL machining [J]. Int J Adv Manuf Technol, 2014, 72: 919–933. DOI: https://doi.org/10.1007/s00170-014-5683-0.

    Article  Google Scholar 

  9. MUSFIRAH A H, GHANI J A, HARON C H C. Tool wear and surface integrity of Inconel 718 in dry and cryogenic coolant at high cutting speed [J]. Wear, 2017, 376–377: 125–133. DOI: https://doi.org/10.1016/j.wear.2017.01.031.

    Article  Google Scholar 

  10. PARK K H, SUHAIMI M A, YANG G D, LEE D Y, LEE S W, KWON P. Milling of titanium alloy with cryogenic cooling and minimum quantity lubrication (MQL) [J]. Int J Precis Eng Manuf, 2017, 18: 5–14. DOI: https://doi.org/10.1007/s12541-017-0001-z.

    Article  Google Scholar 

  11. KURSUNCU B, CALISKAN H, GUVEN S Y, PANJAN P. Improvement of cutting performance of carbide cutting tools in milling of the Inconel 718 superalloy using multilayer nanocomposite hard coating and cryogenic heat treatment [J]. Int J Adv Manuf Technol, 2018, 97: 1–4. DOI: https://doi.org/10.1007/s00170-018-1931-z.

    Article  Google Scholar 

  12. DESHPANDE R G, VENUGOPAL K A. Machining with cryogenically treated carbide cutting tool inserts [J]. Mater Today Proc, 2018, 5: 1872–1878. DOI: https://doi.org/10.1016/J.MATPR.2017.11.288.

    Article  Google Scholar 

  13. KURSUNCU B, ÇALIŞKAN H. The effect of multilayer nanocomposite TiAlSiN/TiSiN/TiAlN coating on cutting forces in face milling of Inconel 718 superalloy [C]//2nd International Conference on Advances in Mechanical Engineering. Istanbul, 2016: 11–14.

  14. CALISKAN H, KURSUNCU B, GUVEN S Y, KARAOGLANLI A C, SABRI G M, ALSARAN A. Effect of boron nitride coating on wear behavior of carbide cutting tools in milling of Inconel 718 [C]//Machining, Joining and Modifications of Advanced Materials. Singapore: Springer, 2016: 13–21. DOI: https://doi.org/10.1007/978-981-10-1082-82.

    Chapter  Google Scholar 

  15. KURSUNCU B, CALISKAN H, GUVEN S Y. Wear behavior of cryogenically treated TiN coated carbide cutting tool while face milling Inconel 718 Superalloy [C]//The International Conference on Engineering and Natural Sciences (ICENS). Sarajevo, 2016: 583.

  16. KURSUNCU B, YARAS A. Assessment of the effect of borax and boric acid additives in cutting fluids on milling of AISI O2 using MQL system [J]. Int J Adv Manuf Technol, 2018, 95: 2005–2013. DOI: https://doi.org/10.1007/s00170-017-1301-2.

    Article  Google Scholar 

  17. KUMAR G K, RAVI S M. Past and current status of eco-friendly vegetable oil based metal cutting fluids [J]. Mater Today Proc, 2017, 4: 3786–3795. DOI: https://doi.org/10.1016/J.MATPR.2017.02.275.

    Article  Google Scholar 

  18. NGUYEN T K, DO I, KWON P. A tribological study of vegetable oil enhanced by nanoplatelets and implication in MQL machining [J]. Int J Precis Eng Manuf, 2012, 13: 1077–1083. DOI: https://doi.org/10.1007/s12541-012-0141-0.

    Article  Google Scholar 

  19. MAHADI M A, CHOUDHURY I A, AZUDDIN M, NUKMAN Y. Use of boric acid powder aided vegetable oil lubricant in turning AISI 431 steel [J]. Procedia Eng, 2017, 184: 128–136. DOI: https://doi.org/10.1016/j.proeng.2017.04.077.

    Article  Google Scholar 

  20. AGRAWAL S M, PATIL N G. Experimental study of nonedible vegetable oil as a cutting fluid in machining of M2 steel using MQL [J]. Procedia Manuf, 2018, 20: 207–212.

    Article  Google Scholar 

  21. JEEVAN T P, JAYARAM S R. Tribological properties and machining performance of vegetable oil based metal working fluids—A review [J]. Mod Mech Eng, 2018, 8(1): 42–65.

    Article  Google Scholar 

  22. GUO S, LI C, ZHANG Y, WANG Y, LI B, YANG M. Experimental evaluation of the lubrication performance of mixtures of castor oil with other vegetable oils in MQL grinding of nickel-based alloy [J]. J Clean Prod, 2017, 140: 1060–1076. DOI:https://doi.org/10.1016/j.jclepro.2016.10.073.

    Article  Google Scholar 

  23. SHARMA J, SIDHU B S. Investigation of effects of dry and near dry machining on AISI D2 steel using vegetable oil [J]. J Clean Prod, 2014, 66: 619–623. DOI: https://doi.org/10.1016/j.jclepro.2013.11.042.

    Article  Google Scholar 

  24. SHARMA A K, KATIYAR J K, BHAUMIK S, ROY S. Influence of alumina/MWCNT hybrid nanoparticle additives on tribological properties of lubricants in turning operations [J]. Friction, 2019, 7(2): 153–168. DOI: https://doi.org/10.1007/s40544-018-0199-5.

    Article  Google Scholar 

  25. EKER B, EKICI B, KURT M, BAKIR B. Sustainable machining of the magnesium alloy materials in the CNC lathe machine and optimization of the cutting conditions [J]. Mechanics, 2014, 20: 310–316.

    Article  Google Scholar 

  26. YU D, WANG C, CHENG X, ZHANG F. Optimization of hybrid PVD process of TiAlN coatings by Taguchi method [J]. Appl Surf Sci, 2008, 255: 1865–1869. DOI: https://doi.org/10.1016/J.APSUSC.2008.06.204.

    Article  Google Scholar 

  27. ASLANTAS K, EKICI E, ÇIÇEK A. Optimization of process parameters for micro milling of Ti-6Al-4V alloy using Taguchi-based gray relational analysis [J]. Measurement, 2018, 128: 419–427. DOI: https://doi.org/10.1016/J.MEASUREMENT.2018.06.066.

    Article  Google Scholar 

  28. CALISKAN H, KURBANOGLU C, PANJAN P, KRAMAR D. Investigation of the performance of carbide cutting tools with hard coatings in hard milling based on the response surface methodology [J]. Int J Adv Manuf Technol, 2013, 66: 883–893. DOI: https://doi.org/10.1007/s00170-012-4374-y.

    Article  Google Scholar 

  29. PUSAVEC F, DESHPANDE A, YANG S, M’SAOUBI R, KOPAC J, DILLON O W. Sustainable machining of high temperature nickel alloy-Inconel 718: Part 1-Predictive performance models [J]. J Clean Prod, 2014, 81: 255–269. DOI: https://doi.org/10.1016/j.jclepro.2014.06.040.

    Article  Google Scholar 

  30. VISWANATHAN R, RAMESH S, SUBBURAM V. Measurement and optimization of performance characteristics in turning of Mg alloy under dry and MQL conditions [J]. Measurement, 2018, 120: 107–113. https://doi.org/10.1016/J.MEASUREMENT.2018.02.018.

    Article  Google Scholar 

  31. MIA M, KHAN M A, DHAR N R. Study of surface roughness and cutting forces using ANN, RSM, and ANOVA in turning of Ti-6Al-4V under cryogenic jets applied at flank and rake faces of coated WC tool [J]. Int J Adv Manuf Technol, 2017, 93: 975–991.

    Article  Google Scholar 

  32. RAMESH S, VISWANATHAN R, AMBIKA S. Measurement and optimization of surface roughness and tool wear via grey relational analysis, TOPSIS and RSA techniques [J]. Measurement, 2016, 78: 63–72. DOI: https://doi.org/10.1016/J.MEASUREMENT.2015.09.036.

    Article  Google Scholar 

  33. KIVAK T. Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts [J]. Measurement, 2014, 50: 19–28. DOI: J.MEASUREMENT.2013.12.017.

    Article  Google Scholar 

  34. VISWANATHAN R, RAMESH S, ELANGO N, KAMESH K D. Temperature measurement and optimization in machining magnesium alloy using RSM and ANOVA [J]. Pertanika J Sci Technol, 2017, 25(1): 255–262.

    Google Scholar 

  35. SARIKAYA M, GÜ LLÜ A. Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL [J]. J Clean Prod, 2014, 65: 604–616. DOI: https://doi.org/10.1016/j.jclepro.2013.08.040.

    Article  Google Scholar 

  36. WOJCIECHOWSKI S, WMARUDA R, MKROLCZYK G, NIESLONY P. Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling [J]. Precis Eng, 2018, 51: 582–596. DOI: https://doi.org/10.1016/j.precisioneng.2017.10.014.

    Article  Google Scholar 

  37. VARGHESE V, ANNAMALAI K, KUMAR K S. Optimization of machining parameters for high feed end milling on Inconel 718 super alloy [J]. Appl Mech Mater, 2014, 592–594: 584–590. DOI: https://doi.org/10.4028/www.scientific.net/AMM.592-594.584.

    Article  Google Scholar 

  38. TS ISO 7005-21998. Tool life testing in milling–Part1: Face milling [S].

  39. CHINCHANIKAR S, SALVE A V, NETAKE P, MORE A, KENDRE S, KUMAR R. Comparative evaluations of surface roughness during hard turning under dry and with water-based and vegetable oil-based cutting fluids [J]. Procedia Mater Sci, 2014, 5: 1966–1975. DOI: https://doi.org/10.1016/J.MSPRO.2014.07.529.

    Article  Google Scholar 

  40. LU Y M, WANG T, WANG C Q, WANG C W. Empirical modeling of high-speed WEDM finishing in gas [J]. Adv Mater Res, 2012, 486: 503–508. DOI: https://doi.org/10.4028/www.scientific.net/AMR.486.503.

    Article  Google Scholar 

  41. CHEN L, ZHAO Y, YAN F, HOU H. Statistical investigations of serpentine channel pouring process parameters on semi-solid ZL101 aluminum alloy slurry using response surface methodology [J]. J Alloys Compd, 2017, 725: 673–683. DOI: https://doi.org/10.1016/J.JALLCOM.2017.07.169.

    Article  Google Scholar 

  42. TIAN X, ZHAO J, ZHAO J, GONG Z, DONG Y. Effect of cutting speed on cutting forces and wear mechanisms in high-speed face milling of Inconel 718 with Sialon ceramic tools [J]. Int J Adv Manuf Technol, 2013, 69: 2669–2678. DOI: https://doi.org/10.1007/s00170-013-5206-4.

    Article  Google Scholar 

  43. LI M, YU T, YANG L, LI H, ZHANG R, WANG W. Parameter optimization during minimum quantity lubrication milling of TC4 alloy with graphene-dispersed vegetable-oil-based cutting fluid [J]. J Clean Prod, 2019, 209: 1508–1522. DOI: https://doi.org/10.1016/J.JCLEPRO.2018.11.147.

    Article  Google Scholar 

  44. TSCHÄTSCH H. Applied machining technology [M]. Springer Science & Business Media, 2010.

  45. ZHANG S, LI J F, WANG Y W. Tool life and cutting forces in end milling Inconel 718 under dry and minimum quantity cooling lubrication cutting conditions [J]. J Clean Prod, 2012, 32: 81–87. DOI: https://doi.org/10.1016/j.jclepro.2012.03.014.

    Article  Google Scholar 

  46. SURESH R, BASAVARAJAPPA S, GAITONDE V N, SAMUEL G L. Machinability investigations on hardened AISI 4340 steel using coated carbide insert [J]. Int J Refract Met Hard Mater, 2012, 33: 75–86. DOI: https://doi.org/10.1016/j.ijrmhm.2012.02.019.

    Article  Google Scholar 

  47. TEBALDO V, DI CONFIENGO G G, FAGA M G. Sustainability in machining: “Eco-friendly” turning of Inconel 718. Surface characterization and economic analysis [J]. J Clean Prod, 2017, 140: 1567–1577. DOI: https://doi.org/10.1016/j.jclepro.2016.09.216.

    Google Scholar 

  48. LIAO Y S, LIAO C H, LIN H M. Study of oil-water ratio and flow rate of MQL fluid in highspeed milling of Inconel 718 [J]. Int J Precis Eng Manuf, 2017, 18: 257–62. DOI: https://doi.org/10.1007/s12541-017-0033-4.

    Article  Google Scholar 

  49. CALISKAN H, KURBANOGLU C, PANJAN P, CEKADA M, KRAMAR D. Wear behavior and cutting performance of nanostructured hard coatings on cemented carbide cutting tools in hard milling [J]. Tribol Int, 2013, 62: 215–222. DOI: https://doi.org/10.1016/j.triboint.2013.02.035.

    Article  Google Scholar 

  50. KURSUNCU B, YARAS A. AISI O2 Takim Çeliğinin Frezelenmesinde Minimum Miktarda Yağlama (MQL) Sisteminin Kesme Performansına Etkisi [J]. Mühendislik ve Teknol Bilimleri Dergisi, 2018, 5: 125–128. (in Turkish)

    Google Scholar 

  51. CALISKAN H, CELIL C C, PANJAN P. Effect of multilayer nanocomposite TiAlSiN/TiSiN/TiAlN coating on wear behavior of carbide tools in the milling of hardened AISI D2 Steel [J]. J Nano Res, 2016, 38: 9–17. DOI: https://doi.org/10.4028/www.scientific.net/JNanoR.38.9.

    Article  Google Scholar 

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  1. Faculty of Engineering, Architecture and Design Mechanical Engineering Department, Bartin University, Bartin, 74100, Turkey

    Bilal Kursuncu & Yasin Ensar Biyik

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Bilal KURSUNCU provided the concept and edited the draft of manuscript. Yasin Ensar BIYIK conducted the literature review and wrote the first draft of the manuscript. Bilal KURSUNCU edited the draft of manuscript.

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Correspondence to Bilal Kursuncu.

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Bilal KURSUNCU and Yasin Ensar BIYIK declare that they have no conflict of interest

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Kursuncu, B., Biyik, Y.E. Optimization of cutting parameters with Taguchi and grey relational analysis methods in MQL-assisted face milling of AISI O2 steel. J. Cent. South Univ. 28, 112–125 (2021). https://doi.org/10.1007/s11771-021-4590-4

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