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ISSN (Print): 2666-1454
ISSN (Online): 2666-1462

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Review Article

A Review of Minimum Quantity Lubrication (MQL) Based on Bibliometry

Author(s): Gaurav Gaurav, Abhay Sharma*, Govind Sharan Dangayach and Makkhan Lal Meena

Volume 14, Issue 1, 2021

Published on: 22 December, 2020

Page: [13 - 39] Pages: 27

DOI: 10.2174/2666145413999201222104811

Price: $65

Abstract

Background: Minimum quantity lubrication (MQL) is one of the most promising machining techniques that can yield a reduction in consumption of cutting fluid by more than 90 % while ensuring the surface quality and tool life. The significance of the MQL in machining makes it imperative to consolidate and analyse the current direction and status of research in MQL.

Objective: This study aims to assess global research publication trends and hot topics in the field of MQL among machining processes. The bibliometric and descriptive analysis are the tools that the investigation aims to use for the data analysis of related literature collected from Scopus databases.

Methods: Various performance parameters are extracted, such as document types and languages of publication, annual scientific production, total documents, total citations, and citations per article. The top 20 of the most relevant and productive sources, authors, affiliations, countries, word cloud, and word dynamics are assessed. The graphical visualisation of the bibliometric data is presented in terms of bibliographic coupling, citation, and co-citation network.

Results: The investigation reveals that the International Journal of Machine Tools and Manufacture (2611 citations, 31 h-index) is the most productive journal that publishes on MQL. The most productive institution is the University of Michigan (32 publications), the most cited country is Germany (1879 citations), and the most productive country in MQL is China (124 publications). The study shows that ‘Cryogenic Machining’, ‘Sustainable Machining’, ‘Sustainability’, ‘Nanofluid’ and ‘Titanium alloy’ are the most recent keywords and indications of the hot topics and future research directions in the MQL field.

Conclusion: The analysis finds that MQL is progressing in publications and emerging with issues that are strongly associated with the research. This study is expected to help the researchers to find the most current research areas through the author’s keywords and future research directions in MQL and thereby expand their research interests.

Keywords: Bibliometric analysis, co-citation analysis, co-occurrence analysis, minimum quantity lubrication (MQL), machining, scopus database.

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[1]
Kuram E, Ozcelik B, Bayramoglu M, Demirbas E, Simsek BT. Optimisation of cutting fluids and cutting parameters during end milling by using D-optimal design of experiments. J Clean Prod 2013; 42: 159-66.
[http://dx.doi.org/10.1016/j.jclepro.2012.11.003]
[2]
King N, Keranen L, Gunter K, Sutherland J. Wet versus dry turning: a comparison of machining costs, product quality, and aerosol formation. SAE Tech Pap 2001-01-0343, 2001.
[http://dx.doi.org/10.4271/2001-01-0343]
[3]
Banerjee N, Sharma A. Development of a friction model and its application in finite element analysis of minimum quantity lubrication machining of Ti-6Al-4 V. J Mater Process Technol 2016; 238: 181-94.
[http://dx.doi.org/10.1016/j.jmatprotec.2016.07.017]
[4]
Zhao F, Sharma A. Environmentally Friendly Machining.In: Nee A (Eds) Handb Manuf Eng Technol Springer London. 2014; pp. 1-25.
[http://dx.doi.org/10.1007/978-1-4471-4976-7_14-1]
[5]
Banerjee N, Sharma A. Identification of a friction model for minimum quantity lubrication machining. J Clean Prod 2014; 83: 437-43.
[http://dx.doi.org/10.1016/j.jclepro.2014.07.034]
[6]
Li B, Li C, Zhang Y, et al. Effect of the physical properties of different vegetable oil-based nanofluids on MQLC grinding temperature of Ni-based alloy. Int J Adv Manuf Technol 2017; 89: 3459-74.
[http://dx.doi.org/10.1007/s00170-016-9324-7]
[7]
Sharma AK, Tiwari AK, Dixit AR. Effects of Minimum Quantity Lubrication (MQL) in machining processes using conventional and nanofluid based cutting fluids: a comprehensive review. J Clean Prod 2016; 127: 1-18.
[http://dx.doi.org/10.1016/j.jclepro.2016.03.146]
[8]
Banerjee N, Sharma A. A review of localised and multi-point aerosol application in minimum quantity lubrication machining. Int J Precis Technol 2020; 9(2/3): 95.
[9]
Ramana MV, Sharma A, Rao GKM, Rao DH, Rao BCK. Optimisation of controllable process parameters to decrease cutting forces in turning of TI6Al4V alloy with various machining environments. J Manuf Technol Res 2017; 11(3/4): 81-100.
[10]
Weinert K, Inasaki I, Sutherland JW, Wakabayashi T. Dry machining and minimum quantity lubrication. CIRP Ann 2004; 53: 511-37.
[http://dx.doi.org/10.1016/S0007-8506(07)60027-4]
[11]
Klocke F, Eisenblätter G. Dry cutting - State of research. CIRP Ann 1997; 46: 519-26.
[http://dx.doi.org/10.1016/S0007-8506(07)60877-4]
[12]
Khan MMA, Mithu MAH, Dhar NR. Effects of minimum quantity lubrication on turning AISI 9310 alloy steel using vegetable oil-based cutting fluid. J Mater Process Technol 2009; 209: 5573-83.
[http://dx.doi.org/10.1016/j.jmatprotec.2009.05.014]
[13]
Liao YS, Lin HM, Chen YC. Feasibility study of the minimum quantity lubrication in high-speed end milling of NAK80 hardened steel by coated carbide tool. Int J Mach Tools Manuf 2007; 47: 1667-76.
[http://dx.doi.org/10.1016/j.ijmachtools.2007.01.005]
[14]
Tawakoli T, Hadad MJ, Sadeghi MH, Daneshi A, Stöckert S, Rasifard A. An experimental investigation of the effects of workpiece and grinding parameters on minimum quantity lubrication-MQL grinding. Int J Mach Tools Manuf 2009; 49: 924-32.
[http://dx.doi.org/10.1016/j.ijmachtools.2009.06.015]
[15]
Banerjee N, Sharma A. Multi-point injection minimum quantity lubrication machining. Mater Sci Forum 2015; 830-831: 108-11.
[http://dx.doi.org/10.4028/www.scientific.net/MSF.830-831.108]
[16]
Xu X, Chen X, Jia F, Brown S, Gong Y, Xu Y. Supply chain finance: a systematic literature review and bibliometric analysis. Int J Prod Econ 2018; 204: 160-73.
[http://dx.doi.org/10.1016/j.ijpe.2018.08.003]
[17]
Calderón A, Barreneche C, Hernández-Valle K, Galindo E, Segarra M, Fernández AI. Where is thermal energy storage (TES) research going? - a bibliometric analysis. Sol Energy 2020; 200: 37-50.
[http://dx.doi.org/10.1016/j.solener.2019.01.050]
[18]
Amirbagheri K, Núñez-Carballosa A, Guitart-Tarrés L, Merigó JM. Research on green supply chain: a bibliometric analysis. Clean Technol Environ Policy 2019; 21: 3-22.
[http://dx.doi.org/10.1007/s10098-018-1624-1]
[19]
Nuñez J, Ortiz Á, Ramírez MAJ, Bueno JAG, Briceño ML. Additive Manufacturing and Supply Chain: A Review and Bibliometric Analysis. Engineering Digital Transformation Springer: Cham 2019; pp. 323-331.
[20]
Yonoff RE, Ochoa GV, Cardenas-Escorcia Y, Silva-Ortega JI, Meriño-Stand L. Research trends in proton exchange membrane fuel cells during 2008-2018: a bibliometric analysis. Heliyon 2019; 5(5)e01724
[http://dx.doi.org/10.1016/j.heliyon.2019.e01724 PMID: 31193558]
[21]
Wang H, Fu Z, Lu W, Zhao Y, Hao R. Research on sulfur oxides and nitric oxides released from coal-fired flue gas and vehicle exhaust: a bibliometric analysis. Environ Sci Pollut Res Int 2019; 26(17): 17821-33.
[http://dx.doi.org/10.1007/s11356-019-05066-5 PMID: 31037527]
[22]
de Oliveira RI, Sousa SO, de Campos FC. Lean manufacturing implementation: bibliometric analysis 2007-2018. Int J Adv Manuf Technol 2019; 101: 979-88.
[http://dx.doi.org/10.1007/s00170-018-2965-y]
[23]
Taddeo R, Simboli A, Di Vincenzo F, Ioppolo G. A bibliometric and network analysis of Lean and Clean(er) production research (1990/2017). Sci Total Environ 2019; 653: 765-75.
[http://dx.doi.org/10.1016/j.scitotenv.2018.10.412 PMID: 30759602]
[24]
Banerjee N, Sharma A. A comprehensive assessment of minimum quantity lubrication machining from quality, production, and sustainability perspectives. Sustain Mater Technol 2018; 17e00070
[http://dx.doi.org/10.1016/j.susmat.2018.e00070]
[25]
Pritchard A. Statistical bibliography or bibliometrics. J Doc 1969; 25(4): 348-9.
[26]
Björk BC, Hedlund T. Emerging new methods of peer review in scholarly journals. Learn Publ 2015; 28: 85-91.
[http://dx.doi.org/10.1087/20150202]
[27]
Barik N, Jena P. Growth of LIS research articles in India seen through Scopus: a bibliometric analysis. Libr Philos Pract 2014; 7: 1133.http://digitalcommons.unl.edu/libphilprac/1133
[28]
Yu C, Davis C, Dijkema GPJ. Understanding the evolution of industrial symbiosis research: a bibliometric and network analysis (1997-2012). J Ind Ecol 2014; 18: 280-93.
[http://dx.doi.org/10.1111/jiec.12073]
[29]
Liu X. Full-text citation analysis : a new method to enhance. J Am Soc Inf Sci Technol 2013; 64: 1852-63.
[http://dx.doi.org/10.1002/asi.22883]
[30]
Garfield E. From the science of science to Scientometrics visualising the history of science with HistCite software. J Informetrics 2009; 3: 173-9.
[http://dx.doi.org/10.1016/j.joi.2009.03.009]
[31]
Persson O, Danell R, Schneider JW. How to use Bibexcel for various types of bibliometric analysis Celebrating scholarly communication studies: A Festschrift for Olle Persson at his 60th Birthday. ISSI 2009; pp. 9-24.
[http://dx.doi.org/lup.lub.lu.se/record/1458990/file/1458992.pdf#page=11]
[32]
Aria M, Cuccurullo C. bibliometrix: An R-tool for comprehensive science mapping analysis. J Informetrics 2017; 11: 959-75.
[http://dx.doi.org/10.1016/j.joi.2017.08.007]
[33]
van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010; 84(2): 523-38.
[http://dx.doi.org/10.1007/s11192-009-0146-3 PMID: 20585380]
[34]
Lotka AJ. Science Progress in the Twentieth Century (1919-1933)1920; Vol 21: Sage Publications, Ltd; pp 406-417.https://www.jstor.org/stable/43431584
[35]
Rahim EA, Sasahara H. A study of the effect of palm oil as MQL lubricant on high speed drilling of titanium alloys. Tribol Int 2011; 44: 309-17.
[http://dx.doi.org/10.1016/j.triboint.2010.10.032]
[36]
Dhar NR, Kamruzzaman M, Ahmed M. Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel. J Mater Process Technol 2006; 172: 299-304.
[http://dx.doi.org/10.1016/j.jmatprotec.2005.09.022]
[37]
Kawasegi N, Sugimori H, Morimoto H, Morita N, Hori I. Development of cutting tools with microscale and nanoscale textures to improve frictional behavior. Precis Eng 2009; 33: 248-54.
[http://dx.doi.org/10.1016/j.precisioneng.2008.07.005]
[38]
Sharma VS, Dogra M, Suri NM. Cooling techniques for improved productivity in turning. Int J Mach Tools Manuf 2009; 49: 435-53.
[http://dx.doi.org/10.1016/j.ijmachtools.2008.12.010]
[39]
Braga DU, Diniz AE, Miranda GWA, Coppini NL. Using a minimum quantity of lubricant (MQL) and a diamond coated tool in the drilling of aluminum-silicon alloys. J Mater Process Technol 2002; 122: 127-38.
[http://dx.doi.org/10.1016/S0924-0136(01)01249-3]
[40]
Attanasio A, Gelfi M, Giardini C, Remino C. Minimal quantity lubrication in turning: effect on tool wear. Wear 2006; 260: 333-8.
[http://dx.doi.org/10.1016/j.wear.2005.04.024]
[41]
Dhar NR, Islam MW, Islam S, Mithu MAH. The influence of minimum quantity of lubrication (MQL) on cutting temperature, chip and dimensional accuracy in turning AISI-1040 steel. J Mater Process Technol 2006; 171: 93-9.
[http://dx.doi.org/10.1016/j.jmatprotec.2005.06.047]
[42]
Kamata Y, Obikawa T. High speed MQL finish-turning of Inconel 718 with different coated tools. J Mater Process Technol 2007; 192–193: 281-6.
[http://dx.doi.org/10.1016/j.jmatprotec.2007.04.052]
[43]
Brinksmeier E, Janssen R. Drilling of multi-layer composite materials consisting of carbon fiber reinforced plastics (CFRP), titanium and aluminum alloys. CIRP Ann 2002; 51: 87-90.
[http://dx.doi.org/10.1016/S0007-8506(07)61472-3]
[44]
Debnath S, Reddy MM, Yi QS. Environmental friendly cutting fluids and cooling techniques in machining: a review. J Clean Prod 2014; 83: 33-47.
[http://dx.doi.org/10.1016/j.jclepro.2014.07.071]
[45]
Shen B, Shih AJ, Tung SC. Application of nanofluids in minimum quantity lubrication grinding. Tribol Trans 2008; 51: 730-7.
[http://dx.doi.org/10.1080/10402000802071277]
[46]
Dhar NR, Ahmed MT, Islam S. An experimental investigation on effect of minimum quantity lubrication in machining AISI 1040 steel. Int J Mach Tools Manuf 2007; 47: 748-53.
[http://dx.doi.org/10.1016/j.ijmachtools.2006.09.017]
[47]
da Silva LR, Bianchi EC, Fusse RY, Catai RE, França TV, Aguiar PR. Analysis of surface integrity for minimum quantity lubricant-MQL in grinding. Int J Mach Tools Manuf 2007; 47: 412-8.
[http://dx.doi.org/10.1016/j.ijmachtools.2006.03.015]
[48]
Fratila D, Caizar C. Application of Taguchi method to selection of optimal lubrication and cutting conditions in face milling of AlMg3. J Clean Prod 2011; 19: 640-5.
[http://dx.doi.org/10.1016/j.jclepro.2010.12.007]
[49]
Sarikaya M, Güllü A. Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL. J Clean Prod 2014; 65: 604-16.
[http://dx.doi.org/10.1016/j.jclepro.2013.08.040]
[50]
Heinemann R, Hinduja S, Barrow G, Petuelli G. Effect of MQL on the tool life of small twist drills in deep-hole drilling. Int J Mach Tools Manuf 2006; 46: 1-6.
[http://dx.doi.org/10.1016/j.ijmachtools.2005.04.003]
[51]
Banerjee N, Sharma A. Improving machining performance of Ti-6Al-4V through multi-point minimum quantity lubrication method. Proc Inst Mech Eng, B J Eng Manuf 2019; 233: 321-36.
[http://dx.doi.org/10.1177/0954405417754164]
[52]
Gaurav G, Sharma A, Dangayach GS, Meena ML. Assessment of jojoba as a pure and nanofluid base oil in minimum quantity lubrication (MQL) hard-turning of Ti-6Al-4V: A step towards sustainable machining. J Clean Prod 2020.272122553
[http://dx.doi.org/10.1016/j.jclepro.2020.122553]
[53]
Wang W, Laengle S, Merigó JM, et al. A bibliometric analysis of the first twenty-five years of the international journal of uncertainty, fuzziness and knowledge-based systems. Int J Uncertain Fuzziness Knowl Based Syst 2018; 26: 169-93.
[http://dx.doi.org/10.1142/S0218488518500095]
[54]
Cancino C, Merigó JM, Coronado F, Dessouky Y, Dessouky M. Forty years of computers & industrial engineering: a bibliometric analysis. Comput Ind Eng 2017; 113: 614-29.
[http://dx.doi.org/10.1016/j.cie.2017.08.033]
[55]
Measure N. Co-citation in the scientific literature: a new measure of the relationship between two documents. J Am Soc Inf Sci 1973; 24: 265-9.http://onlinelibrary.wiley.com/doi/10.1002/asi.4630240406/abstract%5CnD:%5CZotero_Data%5CZotero%5CProfiles%5C1sqw9v0j.default%5Czotero%5Cstorage%5CGCR7NPQA%5Cabstract.html
[56]
Kessler. Kessler-1963-American_Documentation. Am Doc 1963; 14(1): 10-25.

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